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Gut and Liver is an international journal of gastroenterology, focusing on the gastrointestinal tract, liver, biliary tree, pancreas, motility, and neurogastroenterology. Gut atnd Liver delivers up-to-date, authoritative papers on both clinical and research-based topics in gastroenterology. The Journal publishes original articles, case reports, brief communications, letters to the editor and invited review articles in the field of gastroenterology. The Journal is operated by internationally renowned editorial boards and designed to provide a global opportunity to promote academic developments in the field of gastroenterology and hepatology. +MORE
Yong Chan Lee |
Professor of Medicine Director, Gastrointestinal Research Laboratory Veterans Affairs Medical Center, Univ. California San Francisco San Francisco, USA |
Jong Pil Im | Seoul National University College of Medicine, Seoul, Korea |
Robert S. Bresalier | University of Texas M. D. Anderson Cancer Center, Houston, USA |
Steven H. Itzkowitz | Mount Sinai Medical Center, NY, USA |
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Jin-Soo Lee1 , Dong Ah Park2 , Seungeun Ryoo2 , Jungeun Park2 , Gi Hong Choi3 , Jeong-Ju Yoo1
Correspondence to: Dong Ah Park
ORCID https://orcid.org/0000-0001-7225-3152
E-mail pda124@neca.re.kr
Jeong-Ju Yoo
ORCID https://orcid.org/0000-0002-7802-0381
E-mail puby17@naver.com
Jin-Soo Lee and Dong Ah Park contributed equally to this work as first authors.
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
Gut Liver 2024;18(4):695-708. https://doi.org/10.5009/gnl230485
Published online May 7, 2024, Published date July 15, 2024
Copyright © Gut and Liver.
Background/Aims: With increased life expectancy, the management of elderly hepatocellular carcinoma (HCC) patients became a crucial issue, yet it is still challenging due to comorbidities and high surgical risks. While surgical resection is considered as primary treatment for eligible HCC patients, systematic evidence on its outcomes in elderly patients remains scarce. In this review, we aimed to analyze the efficacy and safety outcomes of surgical resection in elderly HCC patients.
Methods: The studies included in this meta-analysis were selected from Ovid-MEDLINE, Ovid-Embase, CENTRAL, KoreaMed, KMbase, and KISS databases following a predefined protocol. Efficacy outcomes included overall survival and disease-free survival, while the safety outcomes included postoperative mortality and complications.
Results: Patients in the elderly group (≥65 years) who underwent surgery exhibited non-inferior overall survival (hazard ratio [HR], 1.26; 95% confidence interval [CI], 0.92 to 1.74) and disease-free survival (HR, 1.03; 95% CI, 0.99 to 1.08) compared to the non-elderly group. Overall postoperative mortality exhibited no statistical difference (odds ratio [OR], 1.07; 95% CI, 0.87 to 1.31), but 30-day, 90-day, and in-hospital mortality were higher in the elderly group. The incidence of overall complications was higher in the elderly group (OR, 1.44; 95% CI, 1.22 to 1.69). Sensitivity analysis for the super elderly group (≥80 years) showed significantly higher in-hospital mortality compared to the non-super elderly group (OR, 2.51; 95% CI, 1.16 to 5.45).
Conclusions: The efficacy outcome of surgical resection in the elderly HCC patients was not worse than that in the non-elderly HCC patients, while in-hospital mortality and complications rates were higher. Therefore, surgical resection should be purposefully considered in the elderly population, with careful candidate selection.
Keywords: Hepatocellular carcinoma, Aged, Surgery, Treatment
According to the World Health Organization, hepatocellular carcinoma (HCC) ranks as the third leading cause of cancer-related deaths worldwide, in 2020, with an annual estimate of 830,000 deaths.1 Deaths caused by HCC are particularly frequent in Asia, where HCC is the second cause of cancer-related death.2 Due to the increase in life expectancy and advancements in medical technology, the number of elderly patients with HCC has been rising and the treatment selection for elderly HCC patients has become increasingly important.3,4
Surgical resection is considered the gold standard for curative treatment of early to intermediate-stage HCC patients.5 Owing to recent advances in surgical techniques and perioperative management, recent studies have shown that surgical resection shows better outcomes than other treatment options such as radiofrequency ablation, transarterial chemoembolization, and systemic chemotherapy.6,7 However, recommending surgical resection as a primary treatment for elderly HCC patients (≥65 years) is significantly challenged by their higher comorbidity rates, increased surgical risks, and the lack of objective data.8,9 Moreover, most patients aged 80 and above are typically excluded from research designs, further exacerbating the scarcity of data for this specific age group. Here arises a demand for guidelines addressing the safety and feasibility of surgical resection in this specific patient age range, necessitating large-scale studies comparing the efficacy and safety outcomes of surgical resection between elderly and non-elderly patients.10
The objective of this study was to provide systematic evidence that supports the decision for surgical resection in elderly patients with HCC. There have been several studies comparing the outcomes of surgical resection between elderly and non-elderly patients, but most of them were limited to single institution,11 or had a small number,12 or were restricted to the domestic population.13 Therefore, we conducted a systematic review and meta-analysis on outcomes of surgical resection, including the super elderly population.
This article was registered at the International Prospective Register of Systematic Reviews (CRD42023469975) for adequate protocol. Systematic review and meta-analysis were conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines and Meta-analysis of Observational Studies in Epidemiology checklists. Ethics approval was waived from the Institutional Review Board of the National Evidence-based Healthcare Collaborating Agency and the current study conformed to the ethical guidelines of the World Medical Association Declaration of Helsinki.
The study selection algorithm is characterized in Fig. 1. Articles were mainly identified and searched from databases and registers in 2021 and an updated search was conducted in 2022. Ovid-MEDLINE, Ovid-Embase, and CENTRAL were the international databases used, and KoreaMed, KMbase, and KISS were the domestic databases. In primary study screening, title-based selection and exclusion were conducted and 9,601 studies were excluded. Furthermore, abstract-based screening was done, and 2,511 studies were excluded. A total of 225 studies were selected for full-text review. After considering the relevance to our study design, a final set of 56 studies was selected for systemic analysis (Fig. 1). Since all the studies included in the meta-analysis were retrospective design, they are inherently more susceptible to selection bias and confounding factors. To address this limitation, we conducted subgroup analyses based on various classification such as age cutoff, publication year, country, and methodological index for non-randomized studies (MINORS) score. Additionally, sensitivity analysis was performed specifically for the super elderly population. The primary meta-analysis of our study focused on comparing the elderly group, defined as individuals aged 65 and above, with the non-elderly group, defined as those under 65, and presenting the analysis results. However, considering the increasing prevalence of very elderly patients in clinical practice, we conducted an additional sensitivity analysis specifically for the super elderly group, defined as individuals aged 80 and above, in studies where this age category was separately classified.
The purpose of the study was to compare efficacy and safety outcomes between elderly and non-elderly patients with HCC. Efficacy-related outcomes included overall survival (OS) and disease-free survival (DFS), while safety-related outcomes included postoperative mortality and postoperative complications.
The assessment of bias risk was conducted independently by two researchers, and consensus was reached through discussion with a third party. For randomized controlled trials, the Cochrane Risk of Bias 1.0 tool was used whereas the MINORS (a valid instrument designed to assess the methodological quality of non-randomized surgical studies, consisting of 12 questions with a total of 24 points14 was used for non-randomized controlled trials (Supplementary Fig. 1).
Efficacy-related outcomes, OS and DFS, were evaluated using median value, interquartile range (IQR), and range. Meta-analysis was primarily done with a random effects model, using the following methods: (1) inverse variance method for survival and consecutive data and (2) Mantel-Haenszel method for binary data. The binary outcomes were presented as odds ratio (OR), and for survival outcomes, hazard ratio (HR) with a 95% confidence interval (CI). Statistical inter-study heterogeneity of meta-analysis was primarily assessed by Forest plot and Cochrane Q statistics (p<0.10) with I2 statistics (≥50%). Moreover, subgroup analysis was conducted to find factors contributing to heterogeneity and those factors included age threshold, disease stage, country of study, publication year, quality assessment scores, and the number of adjusted variables. Also, sensitivity analysis was conducted on super elderly patients, independently (≥80 years). Publication bias was assessed using funnel plots and Egger’s test (Supplementary Fig. 2). Meta-analysis was conducted using RevMan 5.3, and statistical significance for differences between groups was assessed at a significance level of 5%.
As mentioned above, a total of 56 articles were included in the final analysis. The baseline characteristics of the enrolled studies including baseline liver function and cancer status are presented in Table 1.11-13,15-62 When classified by continent, the majority of studies, 47 (83.9%), were from Asia, while nine studies (16.0%) were from Europe. Forty-six studies (82.1%) were conducted by a single institution, and 10 studies (17.8%) involved multi-institutions. All 56 studies were retrospective cohort studies. An age threshold of 70 years for elderly patients was used in 24 studies (42.8%), followed by 75 years in 14 studies (25%), and 65 years in five studies (8.9%).
Demographics and Characteristics of Studies Included in the Systematic Review: Elderly versus Non-Elderly
Study (year) | Country | Institution | Recruitment period | Matching | Objective | Age cutoff, yr | No. of elderly | No. of non-elderly | Baseline liver function, % | Tumor size, mm | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Elderly Child A/B | Non-elderly Child A/B | Elderly | Non-elderly | ||||||||||
Fujio (2022)12 | Japan | Single | 2012–2016 | NR | HR for HCC | 75 | 22 | 39 | 95/5 | 87/13 | 53.6 | 52 | |
Pu (2022)15 | China | Multicenter | 2007–2019 | PSM | R0 HR for HCC | 70 | 140 | 140 | 94/6 | 94/6 | NA | NA | |
Harada (2021)11 | Japan | Single | 2001–2012 | PSM | HR for HCC | 70 | 234 | 234 | 97/3 | 95/5 | 30 | 31 | |
Liu (2021)16 | Taiwan | Registry | 2007–2017 | NR | HR for HCC | 75 | 96 | 908 | NA | NA | 41.5 | NA | |
Tan (2021)17 | Singapore | Single | 2000–2018 | NR | HR for HCC | 70 | 278 | 764 | 94/6 | 95/5 | 45 | 38 | |
Chen (2020)13 | China | Multicenter | 2006–2016 | NR | HR for HCC | 65 | 92 | 738 | 91/9 | 89/11 | 105 | 108 | |
Shin (2020)18 | Korea | Single | 2012–2018 | NR | HR for HCC | 70 | 49 | 184 | NA | NA | NA | NA | |
Shimada (2020)19 | Japan | Single | 2000–2017 | NR | HR for HCC | 65 | 363 | 384 | NA | NA | 57 | 61 | |
Yasuda (2020)20 | Japan | Single | 2000–2013 | NR | Major HR for HCC | 70 | 23 | 18 | 100/0 | 100/0 | 54 | 78 | |
Xing (2020)21 | China | Multicenter | 2003–2016 | NR | HR for HCC | 70 | 259 | 1,875 | 96/4 | 90/10 | NA | NA | |
Famularo (2019)22 | Italy | Multicenter | 2005–2015 | PSM | HR for HCC | 75 | 92 | 92 | 92/8 | 96/4 | 35 | 41 | |
Jiang (2019)23 | China | Registry | 2004–2015 | NR | HR for HCC | 65 | 956 | 1,392 | NA | NA | NA | NA | |
Kaibori (2019)24 | Japan | Registry | 2000–2007 | NR | HR for HCC | 75 | 2,020 | 10,567 | 92/8 | 90/10 | 38 | NA | |
Okamura (2018)25 | Japan | Single | 2002–2014 | PSM | HR for HCC | 75 | 72 | 72 | 99/1 | 99/1 | NA | NA | |
Chen (2018)26 | China | Single | 2010–2016 | NR | HR for HCC | 65 | 256 | 886 | 91/9 | 82/18 | NA | 84 | |
Goh (2018)27 | Singapore | Single | 2007–2016 | PSM | LMH for HCC | 70 | 40 | 94 | NA | NA | 30 | 25 | |
Hsu (2018)28 | Taiwan | Single | 2003–2014 | NR | HR for large HCC (>5 cm) | 70 | 79 | 178 | 92/8 | 89/11 | 86 | 90 | |
Wang (2018)29 | China | Single | 2011–2016 | NR | HR for HCC | 70 | 48 | 97 | NA | NA | NA | NA | |
Yu (2018)30 | China | Single | 2003–2013 | NR | HR for HCC | 70 | 23 | 58 | 83/17 | 91/9 | 47 | 37 | |
Santambrogio (2017)31 | Italy | Single | 1998–2015 | NR | HR for HCC | 75 | 53 | 115 | 100/0 | 100/0 | NA | NA | |
Bauschke (2016)32 | Germay | Single | 1995–2014 | NR | HR for HCC | 70 | 63 | 81 | 87/13 | 77/23 | NA | NA | |
Cucchetti (2016)33 | Italy | Single | 1997–2013 | NR | HR for HCC with LC | 70 | 229 | 690 | NA | NA | NA | NA | |
Harimoto (2016)34 | Japan | Single | 2004–2013 | NR | HR for HCC | 70 | 139 | 157 | 94/6 | 96/4 | 40 | 40 | |
Kim (2015)35 | Korea | Single | 2006–2010 | NR | HR for HCC | 70 | 60 | 219 | NA | NA | 49 | 49 | |
Kishida (2015)36 | Japan | Single | 2005–2010 | NR | HR for HCC | 75 | 22 | 82 | 91/9 | 99/1 | 35 | 30 | |
Motoyama (2015)37 | Japan | Single | 1990–2013 | NR | HR for HCC | 75 | 113 | 499 | 95/5 | 94/6 | 33 | 30 | |
Nozawa (2015)38 | Japan | Single | 2000–2010 | NR | HR for HCC | 70 | 192 | 239 | 86/14 | 85/15 | NA | 30 | |
Sato (2015)39 | Japan | Single | 2000–2010 | NR | HR for HCC | 75 | 34 | 195 | 74/26 | 83/17 | 49 | 54 | |
Faber (2014)40 | Germany | Single | 2000–2010 | NR | HR for HCC with LC | 70 | 63 | 78 | NA | NA | 50 | 50 | |
Liu (2014)41 | Taiwan | Single | 2002–2013 | PSM | HR for HCC | 75 | 118 | 118 | 93/7 | 93/7 | NA | NA | |
Mori (2014)42 | Japan | Single | 2000–2012 | NR | HR for HCC with PHT | 70 | 64 | 131 | 78/22 | 71/29 | 41 | 33 | |
Ueno (2014)43 | Japan | Single | 2001–2010 | NR | HR for HCC | 75 | 66 | 186 | 91/9 | 91/9 | 50 | 40 | |
Wang (2014)44 | China | Single | 2007–2012 | NR | HR for HBV related HCC | 65 | 207 | 1,336 | NA | NA | NA | NA | |
Wang (2014)45 | China | Single | 2007–2012 | Paired matched | Major hepatectomy for HCC with LC | 70 | 56 | 152 | 86/14 | 80/20 | 75 | 89 | |
Hirokawa (2013)46 | Japan | Single | 2000–2011 | NR | HR for HCC | 70 | 100 | 120 | 88/12 | 82/18 | 35 | 30 | |
Ide (2013)47 | Japan | Single | 2000–2010 | NR | HR for HCC | 75 | 64 | 192 | 89/11 | 88/12 | 49 | 49 | |
Murillo (2013)48 | Spain | Single | 2000–2011 | NR | HR for HCC | 70 | 22 | 14 | NA | NA | 38 | 47 | |
Nishikawa (2013)49 | Japan | Single | 2004–2012 | NR | HR for HCC | 75 | 92 | 206 | 98/2 | 96/4 | 46 | 48 | |
Taniai (2013)50 | Japan | Single | 1990–2010 | NR | HR for HCC | 75 | 63 | 353 | 89/11 | 75/24/1 | NA | NA | |
Lee (2012)51 | Korea | Single | 2000–2010 | NR | HR for HCC | 70 | 61 | 90 | NA | NA | 45 | 43 | |
Nanashima (2011)52 | Japan | Single | 1994–2009 | NR | HR for HCC | 70 | 69 | 119 | 93/7 | 89/11 | NA | NA | |
Portolani (2011)53 | Italy | Single | 1992–2009 | NR | HR for HCC | 70 | 175 | 276 | 92/8 | 93/7 | 48 | 49 | |
Mirici-Cappa (2010)54 | Italy | Multicenter | 1987–2004 | PSM | HR for HCC | 70 | 32 | 32 | 93/7 | 82/13 | 34 | 41 | |
Tan (2021)17* | Singapore | Single | 2000–2018 | NR | HR for HCC | 80 | 50 | 1,042 | 92/8 | 94/6 | 80 | NA | |
Sanyal (2020)55 | England | Single | 2005–2015 | NR | HR for HCC | 80 | 19 | 181 | NA | NA | NA | NA | |
Shimada (2020)19† | Japan | Single | 2000–2017 | NR | HR for HCC | 80 | 49 | 757 | NA | NA | 64 | NA | |
Inoue (2019)56 | Japan | Single | 2001–2017 | PSM | HR for HCC | 80 | 45 | 485 | 100/0 | 93/7 | 41 | 32 | |
Lee (2019)57 | Taiwan | Single | 1986–2015 | NR | HR for HCC | 80 | 77 | 3,309 | 96/4 | 96/4 | 59 | 42 | |
Wu (2019)58 | Taiwan | Single | 1992–2016 | NR | HR for HCC | 85 | 31 | 1,858 | 87/10/3 | 87/11/2 | 56 | 65 | |
Chen (2018)26† | China | Single | 2010–2016 | NR | HR for HCC | 80 | 32 | 1,110 | 94/6 | 84/16 | 69 | NA | |
Hamaoka (2017)59 | Japan | Single | 2004–2013 | NR | HR for HCC | 80 | 60 | 565 | 93/7 | 93/7 | 33 | 27 | |
Nozawa (2015)38‡ | Japan | Single | 2000–2010 | NR | HR for HCC | 80 | 20 | 411 | 95/5 | 85/15 | 41 | NA | |
Katsuta (2014)60§ | Japan | Single | 2000–2012 | NR | HR for HCC | 80 | 29 | 457 | 83/17 | 91/9 | NA | NA | |
Tsujita (2012)61 | Japan | Multicenter | 1995–2008 | NR | HR for HCC | 80 | 23 | 385 | NA | NA | NA | NA | |
Yamada (2012)62 | Japan | Multicenter | 1992–2009 | NR | HR for HCC | 80 | 11 | 267 | 82/18 | 92/8 | 52 | 48 | |
Nanashima (2011)52∥ | Japan | Single | 1994–2009 | NR | HR for HCC | 80 | 12 | 167 | 100/0 | 90/10 | NA | NA |
NR, not reported; PSM, propensity score matching; HR, hepatic resection; HCC, hepatocellular carcinoma; LC, liver cirrhosis; LMH, laparoscopic minor hepatectomy; PHT, portal hypertension; HBV, hepatitis B virus; NA, not applicable.
Definition of elderly: *<70/70–79/≥80 yr; †<65/65–79/≥80; ‡<70/70–80/≥81 yr; §<50/50–79/≥80; ∥<50/50–69/70–79/≥80 yr.
Forty-eight articles reported the results of the OS. In the elderly group meta-analysis, at the 3-year postoperative point, the median OS of the elderly group was 70.0% (IQR, 62.7% to 75.1%) and 74.3% (IQR, 66.8% to 77.9%) in the non-elderly group. The median survival periods were similar between the two groups: the elderly group had a median of 69 months (IQR, 52.5 to 77.0 months), while the non-elderly group had a median of 73.3 months (IQR, 60.0 to 89.7 months). In the analysis of the super elderly group (≥80 years), the 3-year median OS rates were 67.7% (IQR, 53.3% to 79.3%) for the super elderly and 70.9% (IQR, 46.0% to 76.8%) for the non-super elderly, respectively. Similar to the elderly group analysis, median survival periods were similar between the super elderly and non-super elderly; 64.8 months in super elderly and 79.4 months in non-super elderly (Supplementary Table 1).
We conducted a meta-analysis on OS between elderly and non-elderly groups. Univariate analysis showed that the OS of the elderly group was worse than that of the non-elderly group (HR, 1.18; 95% CI, 1.09 to 1.27; I2=67%) (Fig. 2A), whereas, in multivariate analysis, there was no significant difference between the two groups (HR, 1.26; 95% CI, 0.92 to 1.74; I2=71%). In subgroup analysis, studies that used 75 years as the age threshold for the elderly showed lower heterogeneity, and the overall mortality of the elderly group was higher than that of the non-elderly group (HR, 1.29; 95% CI, 1.17 to 1.42; I2=23%) (Table 2).
Meta-Analysis on Overall Survival: Elderly versus Non-Elderly
Variable | Univariate analysis | Multivariate analysis | |||||
---|---|---|---|---|---|---|---|
No. of studies | Random, IV HR (95% CI) | I2, % | No. of studies | Random, IV HR (95% CI) | I2, % | ||
Overall mortality | 32 | 1.18 (1.09–1.27) | 67 | 4 | 1.26 (0.92–1.74) | 71 | |
Using data | NA | ||||||
Calculated data | 23 | 1.13 (1.04–1.22) | 52 | NA | |||
Reported data | 9 | 1.26 (1.07–1.49) | 79 | NA | |||
Age cutoff | |||||||
65–70 yr | 18 | 1.09 (1.00–1.19) | 66 | 1 | 1.08 (0.49–2.36) | NA | |
75 yr | 14 | 1.29 (1.17–1.42) | 23 | 2 | 1.39 (0.69–2.81) | 89 | |
Publication year | |||||||
2016–2022 | 20 | 1.19 (1.08–1.31) | 70 | 4 | 1.26 (0.92–1.74) | 71 | |
2010–2015 | 13 | 1.19 (1.02–1.40) | 61 | 0 | - | - | |
Country | |||||||
Asia | 26 | 1.15 (1.07–1.24) | 65 | 2 | 1.23 (0.90–1.69) | 0 | |
Non-Asia | 6 | 1.46 (0.96–2.20) | 77 | 2 | 1.39 (0.69–2.81) | 89 | |
MINORS score | |||||||
Over median value (20) | 15 | 1.32 (1.15–1.50) | 70 | 2 | 1.39 (0.69–2.81) | 89 | |
Under median value (20) | 17 | 1.10 (0.99–1.22) | 67 | 2 | 1.23 (0.90–1.69) | 0 |
IV HR, inverse variance hazard ratio; CI, confidence interval; NA, not applicable; MINORS, methodological index for non-randomized studies.
Sensitivity analysis between the super elderly (≥80 years) and the non-super elderly group showed higher overall mortality in the super elderly group (HR, 1.32; 95% CI, 1.04 to 1.67; I2=79%), but had higher heterogeneity between studies. In subgroup analysis, studies published between 2010 and 2015 showed lower heterogeneity and the risk of death for the super elderly group was higher than that for the non-super elderly group (HR, 1.59; 95% CI, 1.00 to 2.53; I2=0%). Furthermore, in studies with high MINORS score, there was no statistical heterogeneity, and the overall mortality for the super elderly group was also higher (HR, 1.22; 95% CI, 1.03 to 1.44; I2=0%) (Supplementary Table 2).
DFS was reported in 34 studies. In the elderly group analysis, at the 3-year postoperative point, the median DFS rate for the elderly group was 40.6% (IQR, 36.0% to 50.9%), while the non-elderly group showed a rate of 44.9% (IQR, 35.7% to 54.5%). Five-year median DFS rate was 33.0% in both elderly and non-elderly groups (IQR, 25.6% to 36.9% and IQR, 25.6% to 39.8%, respectively). The median DFS periods were similar between the two groups, with the elderly group having 27.8 months (IQR 20.3 to 35.8 months) and the non-elderly group having 33.4 months (IQR, 18.6 to 42.6 months) (Supplementary Table 1). According to the univariate analysis for DFS, there was no statistically significant difference between elderly and non-elderly groups (HR, 1.03; 95% CI, 0.99 to 1.08; I2=0%) (Table 3, Fig. 2B).
Meta-Analysis on Disease-Free Survival: Elderly versus Non-Elderly
Variable | Univariate analysis | ||
---|---|---|---|
No. of studies | Random, IV HR (95% CI) | I2, % | |
Overall estimate | 21 | 1.03 (0.99–1.08) | 0 |
Using data | |||
Calculated data | 15 | 1.04 (0.96–1.13) | 17 |
Reported data | 6 | 1.03 (0.97–1.10) | 0 |
Age cutoff | |||
65–70 yr | 10 | 1.05 (0.97–1.14) | 0 |
75 yr | 11 | 1.02 (0.96–1.08) | 0 |
Publication year | |||
2016–2022 | 13 | 1.04 (0.99–1.09) | 0 |
2010–2015 | 8 | 1.17 (0.92–1.49) | 34 |
Country | |||
Asia | 18 | 1.02 (0.98–1.07) | 0 |
Non-Asia | 3 | 1.43 (1.02–2.01) | 0 |
MINORS score | |||
Over median value (20) | 10 | 1.06 (0.91–1.24) | 33 |
Under median value (20) | 11 | 1.04 (0.99–1.10) | 0 |
IV HR, inverse variance hazard ratio; CI, confidence interval; MINORS, methodological index for non-randomized studies.
In sensitivity analysis for the super elderly group (≥80 years), 3-year median DFS were 38.1% (IQR, 34.1% to 46.2%) and 46.3% (IQR, 38.8% to 47.9%) for super elderly and non-super elderly respectively. Five-year median DFS rates were 35.1% (IQR, 19.4% to 40.2%) and 32.3% (IQR, 28.7% to 35.2%) respectively. Median DFS periods were 26.3 months (IQR, 24.0 to 31.3 months) in super elderly and 28.4 months (IQR, 20.5 to 33.2 months) in non-super elderly (Supplementary Table 1).
Overall postoperative mortality, 30 days postoperative mortality, 90 days postoperative mortality, in-hospital mortality, and mortality related to hepatic failure were analyzed (Table 4). Fourteen studies reported overall postoperative mortality and there was no significant difference between elderly and non-elderly groups (OR, 1.07; 95% CI, 0.87 to 1.31; I2=51%) (Fig. 2C). Whereas the elderly group showed significantly higher 30 days, 90 days mortality, and in-hospital mortality rates compared to the non-elderly group with OR of 2.13, 1.65, and 1.78, respectively. However, hepatic failure-related mortality showed no significant difference between the two groups (OR, 1.28; 95% CI, 0.76 to 2.16; I2=0%). Within the super elderly (≥80 years) group versus non-super elderly group analysis, the super elderly group showed significantly higher in-hospital mortality (OR, 2.51; 95% CI, 1.16 to 5.45). However, there were no significant differences in overall postoperative mortality (OR, 0.91; 95% CI, 0.33 to 2.50) (Fig. 2D), 30 days, and 90 days mortality between the two groups (Table 4).
Postoperative Mortality: Elderly versus Non-Elderly, Super Elderly versus Non-Super Elderly
Outcome variable | No. of studies | Elderly | Non-elderly | Random, M-H pooled OR | 95% CI | I2, % | |||
---|---|---|---|---|---|---|---|---|---|
No. of participants | Events | No. of participants | Events | ||||||
Elderly vs non-elderly | |||||||||
Overall mortality rate | 14 | 1,813 | 734 | 4,525 | 2,057 | 1.07 | 0.87–1.31 | 51 | |
30-Day mortality rate | 10 | 1,740 | 24 | 5,921 | 58 | 2.13 | 1.28–3.54 | 0 | |
90-Day mortality rate | 13 | 1,738 | 47 | 5,841 | 115 | 1.65 | 1.09–2.49 | 8 | |
In-hospital mortality rate | 10 | 1,055 | 31 | 3,175 | 47 | 1.78 | 1.03–3.09 | 14 | |
Hepatic failure-related mortality rate | 11 | 1,463 | 28 | 2,976 | 45 | 1.28 | 0.76–2.16 | 0 | |
Super elderly vs non-super elderly | |||||||||
Overall mortality rate | 4 | 137 | 39 | 2,304 | 929 | 0.91 | 0.33–2.50 | 75 | |
30-Day mortality rate | 6 | 287 | 6 | 6,954 | 92 | 2.27 | 0.99–5.18 | 0 | |
90-Day mortality rate | 4 | 149 | 3 | 3,828 | 55 | 2.05 | 0.76–5.57 | 0 | |
In-hospital mortality rate | 5 | 143 | 6 | 4,548 | 102 | 2.51 | 1.16–5.45 | 0 | |
Hepatic failure-related mortality rate | 0 | - | - | - | - |
M-H, Mantel-Haenszel; OR, odds ratio; CI, confidence interval.
The overall postoperative complication was reported in 26 studies (Table 5). The elderly group had a higher incidence of postoperative complications than that of the non-elderly group (OR, 1.44; 95% CI, 1.22 to 1.69; I2=51%) (Fig. 2E). The elderly group also had a higher incidence of major postoperative complications (OR, 1.30; 95% CI, 1.11 to 1.53; I2=26%), whereas no significant difference in postoperative hepatic failure was observed between the two groups (OR, 1.20; 95% CI, 0.79 to 1.82; I2=0%). In sensitivity analysis, the super elderly group had a higher incidence of complications than the non-super elderly group (OR, 2.02; 95% CI, 1.35 to 3.02; I2=65%) (Fig. 2F) whereas major postoperative complications and postoperative hepatic failure did not show a statistical difference between groups.
Postoperative Complications: Elderly versus Non-Elderly, Super Elderly versus Non-Super Elderly
Outcome variable | No. of studies | Elderly | Non-elderly | Random, M-H pooled OR | 95% CI | I2, % | |||
---|---|---|---|---|---|---|---|---|---|
No. of participants | Events | No. of participants | Events | ||||||
Elderly vs non-elderly | |||||||||
Overall postoperative complications | 26 | 2,943 | 1,184 | 8,629 | 2,762 | 1.44 | 1.22–1.69 | 51 | |
Major postoperative complications | 24 | 2,476 | 411 | 8,360 | 1,041 | 1.30 | 1.11–1.53 | 26 | |
Postoperative hepatic failure | 13 | 1,154 | 33 | 3,914 | 100 | 1.20 | 0.79–1.82 | 0 | |
Super elderly vs non-super elderly | |||||||||
Overall postoperative complications | 9 | 359 | 171 | 9,457 | 2,940 | 2.02 | 1.35–3.02 | 65 | |
Major postoperative complications | 7 | 197 | 28 | 3,516 | 328 | 1.25 | 0.66–2.39 | 47 | |
Postoperative hepatic failure | 8 | 197 | 5 | 5,147 | 83 | 2.25 | 0.96–5.27 | 0 |
M-H, Mantel-Haenszel; OR, odds ratio; CI, confidence interval.
Through this meta-analysis, several meaningful results regarding the efficacy and safety of surgery in elderly HCC patients were obtained. These results can be of great help to clinicians in decision-making in a recent trend where the number of elderly HCC patients is increasing.
The first finding of our study was that there was no statistically significant difference in the efficacy outcomes, namely OS and DFS, between the elderly and non-elderly groups (Tables 2 and 3). Univariate analysis for OS showed a difference between the elderly and non-elderly groups (HR, 1.18; 95% CI, 1.09 to 1.27). However, in multivariate analysis, no statistically significant difference was observed between the two groups (HR, 1.26; 95% CI, 0.92 to 1.74). Therefore, it is suggested that factors other than surgery might have had a greater influence on the difference in OS between the elderly and non-elderly groups.24,63 One possible interpretation of this result may be that relative to the past, the overall health status has improved owing to recent advancements in medical technology, which led to an increase in average lifespan and improved performance among the elderly population.64 Another speculation is that the likelihood of undergoing surgery in selected patients, particularly those with good performance status, is higher in actual clinical practice. Patients with poor performance status often undergo other procedures such as radiofrequency ablation rather than surgery.65 Therefore, the patients analyzed in this study might have had similar initial pre-operative conditions compared to the non-elderly group. The last hypothesis is that the overall advancement in surgical techniques and postoperative management might have contributed to improved surgical outcomes in elderly HCC patients.66 To investigate this hypothesis further, subgroup analyses were conducted according to the year of publication which indicated no significant differences in results across different study periods (Table 2).
The second finding is that in the Asian region, the difference in OS and DFS between elderly and non-elderly groups had a less pronounced trend compared to the non-Asian regions, although not statistically significant (Tables 2 and 3). This is thought to be due to the differences in HCC etiology and surgical methods between Asia and non-Asian countries. In Asia, the proportion of HCC due to viral hepatitis such as hepatitis B virus or hepatitis C virus is significantly higher compared to the predominance of nonalcoholic fatty liver disease-associated HCC in the West.2,67-69 It is known that the average age of nonalcoholic fatty liver disease-associated HCC patients is about 5 to 10 years older than that of viral hepatitis-associated HCC patients.70-72 Therefore, it is assumed that the median age of Asia's HCC is lower than that of the West, potentially resulting in improved postoperative survival. Moreover, the incidence of HCC is higher in Asia compared to non-Asian countries, and the difference in surgical experience and techniques due to the higher incidence in Asia may have contributed to better surgical outcomes in elderly Asian HCC patients compared to non-Asian patients.69,73
The third finding of our study revealed a higher postoperative mortality in the elderly group compared to the non-elderly group, with a particularly high in-hospital mortality noted in the super elderly group (≥80 years). While it was somewhat predictable that postoperative mortality would be higher in the elderly, our study was able to objectively quantify this.74 Therefore, it is essential to consider longer in-hospital monitoring periods for elderly HCC patients, especially for the super elderly after surgery. Additionally, both the elderly and super elderly groups exhibited higher rates of postoperative complications, with a notably increased risk of major postoperative complications observed in the elderly group. This highlights the need for greater attention to postoperative management in elderly patients.31 Although there were no significant differences in hepatic failure-related deaths, it is important to note that this could be due to the inclusion of patients with remaining liver reserve functions suitable for surgery, emphasizing the need for careful interpretation of the results.
Our study has several limitations. First, the individual comorbidities were not considered. This study conducted a meta-analysis of the entire cohort without adjusting for comorbidities. However, the reported comorbidities varied across studies, and studies with objectively quantifiable measures suitable for meta-analysis, such as the Charlson comorbidity index score, were limited. Therefore, adjusting for comorbidities to derive conclusive results proved challenging. The comorbidities frequently mentioned and adjusted from several studies were as follows: hypertension, diabetes, hyperlipidemia, chronic kidney disease, cerebrovascular disease, cerebrovascular accident, pulmonary disease, and Charlson comorbidity index score. To make up for this shortcoming, a multivariate analysis adjusting for other variables was conducted in regard to the OS, but it still had some limitations. Second, in our meta-analysis, we did not perform sub-analyses according to baseline liver function or cancer status. However, considering that the majority of surgical candidates were likely to be Child-Pugh class A with stage I patients, we believe there may have been some level of homogeneity between the two groups. Furthermore, the included studies were all retrospective design and focused only on patients who underwent surgery, which may have resulted in selection bias. Fourth, in sensitivity analysis for the super elderly group (≥80 years), the efficacy outcomes did not demonstrate consistent results compared to those of elderly versus non-elderly analysis. Due to the small number of studies and patients, as well as high heterogeneity among the literature, accurate evaluation was restricted, hence further detailed research is required for the super elderly patient population.17,19,38,52,55-59,61,62,75 Fifth, our study did not differentiate between different surgical methods (open surgery vs laparoscopic surgery), which could influence both efficacy and safety outcomes. Lastly, while our study evaluated OS and DFS, it lacks a comprehensive analysis of other relevant outcomes such as quality of life, postoperative functional status, and patient-reported outcomes. These factors are crucial for an assessment of the impact of surgical resection on elderly patients and further research should consider these aspects of efficacy outcome.
In conclusion, through careful and multidisciplinary patient selection for surgical candidates among elderly HCC patients, both OS and DFS would not be worse than those of the non-elderly group. Thus, it is imperative to actively consider surgical treatment in the selected elderly HCC patients. Future studies that adjust for differences in comorbidity and surgical method might be crucial to determine the respective weights of variables affecting efficacy and safety outcomes. Ultimately, deriving a scoring system or a guideline to assist the decision-making process for surgical treatment in elderly HCC patients is required in the clinical setting. In our meta-analysis results, factors that could be included in the scoring system may consist of age 65 and above, age 80 and above, geographic location (Asia vs non-Asia). Further research should consider incorporating additional factors such as sex, cancer stage, cancer size, CTP score, performance status, comorbidities, surgical method, and hospital size into the scoring system.76,77
This study was supported by the National Evidence-based Healthcare Collaborating Agency (NECA) (NA21-008; NA22-006) and the Soonchunhyang University Research Fund.
No potential conflict of interest relevant to this article was reported.
Study concept and design: D.A.P., G.H.C. Data acquisition: D.A.P., S.R., J.P. Data analysis and interpretation: D.A.P., J.J.Y. Drafting of the manuscript: J.S.L., J.J.Y. Critical revision of the manuscript for important intellectual content: J.J.Y., D.A.P. Statistical analysis: J.J.Y., D.A.P. Approval of final manuscript: all authors.
Supplementary materials can be accessed at https://doi.org/10.5009/gnl230485.
Gut and Liver 2024; 18(4): 695-708
Published online July 15, 2024 https://doi.org/10.5009/gnl230485
Copyright © Gut and Liver.
Jin-Soo Lee1 , Dong Ah Park2 , Seungeun Ryoo2 , Jungeun Park2 , Gi Hong Choi3 , Jeong-Ju Yoo1
1Department of Internal Medicine, Soonchunhyang University School of Medicine, Asan, Korea; 2Division of Healthcare Technology Assessment Research, National Evidence-based Healthcare Collaborating Agency, Seoul, Korea; 3Department of General Surgery, Yonsei University School of Medicine, Seoul, Korea
Correspondence to:Dong Ah Park
ORCID https://orcid.org/0000-0001-7225-3152
E-mail pda124@neca.re.kr
Jeong-Ju Yoo
ORCID https://orcid.org/0000-0002-7802-0381
E-mail puby17@naver.com
Jin-Soo Lee and Dong Ah Park contributed equally to this work as first authors.
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
Background/Aims: With increased life expectancy, the management of elderly hepatocellular carcinoma (HCC) patients became a crucial issue, yet it is still challenging due to comorbidities and high surgical risks. While surgical resection is considered as primary treatment for eligible HCC patients, systematic evidence on its outcomes in elderly patients remains scarce. In this review, we aimed to analyze the efficacy and safety outcomes of surgical resection in elderly HCC patients.
Methods: The studies included in this meta-analysis were selected from Ovid-MEDLINE, Ovid-Embase, CENTRAL, KoreaMed, KMbase, and KISS databases following a predefined protocol. Efficacy outcomes included overall survival and disease-free survival, while the safety outcomes included postoperative mortality and complications.
Results: Patients in the elderly group (≥65 years) who underwent surgery exhibited non-inferior overall survival (hazard ratio [HR], 1.26; 95% confidence interval [CI], 0.92 to 1.74) and disease-free survival (HR, 1.03; 95% CI, 0.99 to 1.08) compared to the non-elderly group. Overall postoperative mortality exhibited no statistical difference (odds ratio [OR], 1.07; 95% CI, 0.87 to 1.31), but 30-day, 90-day, and in-hospital mortality were higher in the elderly group. The incidence of overall complications was higher in the elderly group (OR, 1.44; 95% CI, 1.22 to 1.69). Sensitivity analysis for the super elderly group (≥80 years) showed significantly higher in-hospital mortality compared to the non-super elderly group (OR, 2.51; 95% CI, 1.16 to 5.45).
Conclusions: The efficacy outcome of surgical resection in the elderly HCC patients was not worse than that in the non-elderly HCC patients, while in-hospital mortality and complications rates were higher. Therefore, surgical resection should be purposefully considered in the elderly population, with careful candidate selection.
Keywords: Hepatocellular carcinoma, Aged, Surgery, Treatment
According to the World Health Organization, hepatocellular carcinoma (HCC) ranks as the third leading cause of cancer-related deaths worldwide, in 2020, with an annual estimate of 830,000 deaths.1 Deaths caused by HCC are particularly frequent in Asia, where HCC is the second cause of cancer-related death.2 Due to the increase in life expectancy and advancements in medical technology, the number of elderly patients with HCC has been rising and the treatment selection for elderly HCC patients has become increasingly important.3,4
Surgical resection is considered the gold standard for curative treatment of early to intermediate-stage HCC patients.5 Owing to recent advances in surgical techniques and perioperative management, recent studies have shown that surgical resection shows better outcomes than other treatment options such as radiofrequency ablation, transarterial chemoembolization, and systemic chemotherapy.6,7 However, recommending surgical resection as a primary treatment for elderly HCC patients (≥65 years) is significantly challenged by their higher comorbidity rates, increased surgical risks, and the lack of objective data.8,9 Moreover, most patients aged 80 and above are typically excluded from research designs, further exacerbating the scarcity of data for this specific age group. Here arises a demand for guidelines addressing the safety and feasibility of surgical resection in this specific patient age range, necessitating large-scale studies comparing the efficacy and safety outcomes of surgical resection between elderly and non-elderly patients.10
The objective of this study was to provide systematic evidence that supports the decision for surgical resection in elderly patients with HCC. There have been several studies comparing the outcomes of surgical resection between elderly and non-elderly patients, but most of them were limited to single institution,11 or had a small number,12 or were restricted to the domestic population.13 Therefore, we conducted a systematic review and meta-analysis on outcomes of surgical resection, including the super elderly population.
This article was registered at the International Prospective Register of Systematic Reviews (CRD42023469975) for adequate protocol. Systematic review and meta-analysis were conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines and Meta-analysis of Observational Studies in Epidemiology checklists. Ethics approval was waived from the Institutional Review Board of the National Evidence-based Healthcare Collaborating Agency and the current study conformed to the ethical guidelines of the World Medical Association Declaration of Helsinki.
The study selection algorithm is characterized in Fig. 1. Articles were mainly identified and searched from databases and registers in 2021 and an updated search was conducted in 2022. Ovid-MEDLINE, Ovid-Embase, and CENTRAL were the international databases used, and KoreaMed, KMbase, and KISS were the domestic databases. In primary study screening, title-based selection and exclusion were conducted and 9,601 studies were excluded. Furthermore, abstract-based screening was done, and 2,511 studies were excluded. A total of 225 studies were selected for full-text review. After considering the relevance to our study design, a final set of 56 studies was selected for systemic analysis (Fig. 1). Since all the studies included in the meta-analysis were retrospective design, they are inherently more susceptible to selection bias and confounding factors. To address this limitation, we conducted subgroup analyses based on various classification such as age cutoff, publication year, country, and methodological index for non-randomized studies (MINORS) score. Additionally, sensitivity analysis was performed specifically for the super elderly population. The primary meta-analysis of our study focused on comparing the elderly group, defined as individuals aged 65 and above, with the non-elderly group, defined as those under 65, and presenting the analysis results. However, considering the increasing prevalence of very elderly patients in clinical practice, we conducted an additional sensitivity analysis specifically for the super elderly group, defined as individuals aged 80 and above, in studies where this age category was separately classified.
The purpose of the study was to compare efficacy and safety outcomes between elderly and non-elderly patients with HCC. Efficacy-related outcomes included overall survival (OS) and disease-free survival (DFS), while safety-related outcomes included postoperative mortality and postoperative complications.
The assessment of bias risk was conducted independently by two researchers, and consensus was reached through discussion with a third party. For randomized controlled trials, the Cochrane Risk of Bias 1.0 tool was used whereas the MINORS (a valid instrument designed to assess the methodological quality of non-randomized surgical studies, consisting of 12 questions with a total of 24 points14 was used for non-randomized controlled trials (Supplementary Fig. 1).
Efficacy-related outcomes, OS and DFS, were evaluated using median value, interquartile range (IQR), and range. Meta-analysis was primarily done with a random effects model, using the following methods: (1) inverse variance method for survival and consecutive data and (2) Mantel-Haenszel method for binary data. The binary outcomes were presented as odds ratio (OR), and for survival outcomes, hazard ratio (HR) with a 95% confidence interval (CI). Statistical inter-study heterogeneity of meta-analysis was primarily assessed by Forest plot and Cochrane Q statistics (p<0.10) with I2 statistics (≥50%). Moreover, subgroup analysis was conducted to find factors contributing to heterogeneity and those factors included age threshold, disease stage, country of study, publication year, quality assessment scores, and the number of adjusted variables. Also, sensitivity analysis was conducted on super elderly patients, independently (≥80 years). Publication bias was assessed using funnel plots and Egger’s test (Supplementary Fig. 2). Meta-analysis was conducted using RevMan 5.3, and statistical significance for differences between groups was assessed at a significance level of 5%.
As mentioned above, a total of 56 articles were included in the final analysis. The baseline characteristics of the enrolled studies including baseline liver function and cancer status are presented in Table 1.11-13,15-62 When classified by continent, the majority of studies, 47 (83.9%), were from Asia, while nine studies (16.0%) were from Europe. Forty-six studies (82.1%) were conducted by a single institution, and 10 studies (17.8%) involved multi-institutions. All 56 studies were retrospective cohort studies. An age threshold of 70 years for elderly patients was used in 24 studies (42.8%), followed by 75 years in 14 studies (25%), and 65 years in five studies (8.9%).
Demographics and Characteristics of Studies Included in the Systematic Review: Elderly versus Non-Elderly.
Study (year) | Country | Institution | Recruitment period | Matching | Objective | Age cutoff, yr | No. of elderly | No. of non-elderly | Baseline liver function, % | Tumor size, mm | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Elderly Child A/B | Non-elderly Child A/B | Elderly | Non-elderly | ||||||||||
Fujio (2022)12 | Japan | Single | 2012–2016 | NR | HR for HCC | 75 | 22 | 39 | 95/5 | 87/13 | 53.6 | 52 | |
Pu (2022)15 | China | Multicenter | 2007–2019 | PSM | R0 HR for HCC | 70 | 140 | 140 | 94/6 | 94/6 | NA | NA | |
Harada (2021)11 | Japan | Single | 2001–2012 | PSM | HR for HCC | 70 | 234 | 234 | 97/3 | 95/5 | 30 | 31 | |
Liu (2021)16 | Taiwan | Registry | 2007–2017 | NR | HR for HCC | 75 | 96 | 908 | NA | NA | 41.5 | NA | |
Tan (2021)17 | Singapore | Single | 2000–2018 | NR | HR for HCC | 70 | 278 | 764 | 94/6 | 95/5 | 45 | 38 | |
Chen (2020)13 | China | Multicenter | 2006–2016 | NR | HR for HCC | 65 | 92 | 738 | 91/9 | 89/11 | 105 | 108 | |
Shin (2020)18 | Korea | Single | 2012–2018 | NR | HR for HCC | 70 | 49 | 184 | NA | NA | NA | NA | |
Shimada (2020)19 | Japan | Single | 2000–2017 | NR | HR for HCC | 65 | 363 | 384 | NA | NA | 57 | 61 | |
Yasuda (2020)20 | Japan | Single | 2000–2013 | NR | Major HR for HCC | 70 | 23 | 18 | 100/0 | 100/0 | 54 | 78 | |
Xing (2020)21 | China | Multicenter | 2003–2016 | NR | HR for HCC | 70 | 259 | 1,875 | 96/4 | 90/10 | NA | NA | |
Famularo (2019)22 | Italy | Multicenter | 2005–2015 | PSM | HR for HCC | 75 | 92 | 92 | 92/8 | 96/4 | 35 | 41 | |
Jiang (2019)23 | China | Registry | 2004–2015 | NR | HR for HCC | 65 | 956 | 1,392 | NA | NA | NA | NA | |
Kaibori (2019)24 | Japan | Registry | 2000–2007 | NR | HR for HCC | 75 | 2,020 | 10,567 | 92/8 | 90/10 | 38 | NA | |
Okamura (2018)25 | Japan | Single | 2002–2014 | PSM | HR for HCC | 75 | 72 | 72 | 99/1 | 99/1 | NA | NA | |
Chen (2018)26 | China | Single | 2010–2016 | NR | HR for HCC | 65 | 256 | 886 | 91/9 | 82/18 | NA | 84 | |
Goh (2018)27 | Singapore | Single | 2007–2016 | PSM | LMH for HCC | 70 | 40 | 94 | NA | NA | 30 | 25 | |
Hsu (2018)28 | Taiwan | Single | 2003–2014 | NR | HR for large HCC (>5 cm) | 70 | 79 | 178 | 92/8 | 89/11 | 86 | 90 | |
Wang (2018)29 | China | Single | 2011–2016 | NR | HR for HCC | 70 | 48 | 97 | NA | NA | NA | NA | |
Yu (2018)30 | China | Single | 2003–2013 | NR | HR for HCC | 70 | 23 | 58 | 83/17 | 91/9 | 47 | 37 | |
Santambrogio (2017)31 | Italy | Single | 1998–2015 | NR | HR for HCC | 75 | 53 | 115 | 100/0 | 100/0 | NA | NA | |
Bauschke (2016)32 | Germay | Single | 1995–2014 | NR | HR for HCC | 70 | 63 | 81 | 87/13 | 77/23 | NA | NA | |
Cucchetti (2016)33 | Italy | Single | 1997–2013 | NR | HR for HCC with LC | 70 | 229 | 690 | NA | NA | NA | NA | |
Harimoto (2016)34 | Japan | Single | 2004–2013 | NR | HR for HCC | 70 | 139 | 157 | 94/6 | 96/4 | 40 | 40 | |
Kim (2015)35 | Korea | Single | 2006–2010 | NR | HR for HCC | 70 | 60 | 219 | NA | NA | 49 | 49 | |
Kishida (2015)36 | Japan | Single | 2005–2010 | NR | HR for HCC | 75 | 22 | 82 | 91/9 | 99/1 | 35 | 30 | |
Motoyama (2015)37 | Japan | Single | 1990–2013 | NR | HR for HCC | 75 | 113 | 499 | 95/5 | 94/6 | 33 | 30 | |
Nozawa (2015)38 | Japan | Single | 2000–2010 | NR | HR for HCC | 70 | 192 | 239 | 86/14 | 85/15 | NA | 30 | |
Sato (2015)39 | Japan | Single | 2000–2010 | NR | HR for HCC | 75 | 34 | 195 | 74/26 | 83/17 | 49 | 54 | |
Faber (2014)40 | Germany | Single | 2000–2010 | NR | HR for HCC with LC | 70 | 63 | 78 | NA | NA | 50 | 50 | |
Liu (2014)41 | Taiwan | Single | 2002–2013 | PSM | HR for HCC | 75 | 118 | 118 | 93/7 | 93/7 | NA | NA | |
Mori (2014)42 | Japan | Single | 2000–2012 | NR | HR for HCC with PHT | 70 | 64 | 131 | 78/22 | 71/29 | 41 | 33 | |
Ueno (2014)43 | Japan | Single | 2001–2010 | NR | HR for HCC | 75 | 66 | 186 | 91/9 | 91/9 | 50 | 40 | |
Wang (2014)44 | China | Single | 2007–2012 | NR | HR for HBV related HCC | 65 | 207 | 1,336 | NA | NA | NA | NA | |
Wang (2014)45 | China | Single | 2007–2012 | Paired matched | Major hepatectomy for HCC with LC | 70 | 56 | 152 | 86/14 | 80/20 | 75 | 89 | |
Hirokawa (2013)46 | Japan | Single | 2000–2011 | NR | HR for HCC | 70 | 100 | 120 | 88/12 | 82/18 | 35 | 30 | |
Ide (2013)47 | Japan | Single | 2000–2010 | NR | HR for HCC | 75 | 64 | 192 | 89/11 | 88/12 | 49 | 49 | |
Murillo (2013)48 | Spain | Single | 2000–2011 | NR | HR for HCC | 70 | 22 | 14 | NA | NA | 38 | 47 | |
Nishikawa (2013)49 | Japan | Single | 2004–2012 | NR | HR for HCC | 75 | 92 | 206 | 98/2 | 96/4 | 46 | 48 | |
Taniai (2013)50 | Japan | Single | 1990–2010 | NR | HR for HCC | 75 | 63 | 353 | 89/11 | 75/24/1 | NA | NA | |
Lee (2012)51 | Korea | Single | 2000–2010 | NR | HR for HCC | 70 | 61 | 90 | NA | NA | 45 | 43 | |
Nanashima (2011)52 | Japan | Single | 1994–2009 | NR | HR for HCC | 70 | 69 | 119 | 93/7 | 89/11 | NA | NA | |
Portolani (2011)53 | Italy | Single | 1992–2009 | NR | HR for HCC | 70 | 175 | 276 | 92/8 | 93/7 | 48 | 49 | |
Mirici-Cappa (2010)54 | Italy | Multicenter | 1987–2004 | PSM | HR for HCC | 70 | 32 | 32 | 93/7 | 82/13 | 34 | 41 | |
Tan (2021)17* | Singapore | Single | 2000–2018 | NR | HR for HCC | 80 | 50 | 1,042 | 92/8 | 94/6 | 80 | NA | |
Sanyal (2020)55 | England | Single | 2005–2015 | NR | HR for HCC | 80 | 19 | 181 | NA | NA | NA | NA | |
Shimada (2020)19† | Japan | Single | 2000–2017 | NR | HR for HCC | 80 | 49 | 757 | NA | NA | 64 | NA | |
Inoue (2019)56 | Japan | Single | 2001–2017 | PSM | HR for HCC | 80 | 45 | 485 | 100/0 | 93/7 | 41 | 32 | |
Lee (2019)57 | Taiwan | Single | 1986–2015 | NR | HR for HCC | 80 | 77 | 3,309 | 96/4 | 96/4 | 59 | 42 | |
Wu (2019)58 | Taiwan | Single | 1992–2016 | NR | HR for HCC | 85 | 31 | 1,858 | 87/10/3 | 87/11/2 | 56 | 65 | |
Chen (2018)26† | China | Single | 2010–2016 | NR | HR for HCC | 80 | 32 | 1,110 | 94/6 | 84/16 | 69 | NA | |
Hamaoka (2017)59 | Japan | Single | 2004–2013 | NR | HR for HCC | 80 | 60 | 565 | 93/7 | 93/7 | 33 | 27 | |
Nozawa (2015)38‡ | Japan | Single | 2000–2010 | NR | HR for HCC | 80 | 20 | 411 | 95/5 | 85/15 | 41 | NA | |
Katsuta (2014)60§ | Japan | Single | 2000–2012 | NR | HR for HCC | 80 | 29 | 457 | 83/17 | 91/9 | NA | NA | |
Tsujita (2012)61 | Japan | Multicenter | 1995–2008 | NR | HR for HCC | 80 | 23 | 385 | NA | NA | NA | NA | |
Yamada (2012)62 | Japan | Multicenter | 1992–2009 | NR | HR for HCC | 80 | 11 | 267 | 82/18 | 92/8 | 52 | 48 | |
Nanashima (2011)52∥ | Japan | Single | 1994–2009 | NR | HR for HCC | 80 | 12 | 167 | 100/0 | 90/10 | NA | NA |
NR, not reported; PSM, propensity score matching; HR, hepatic resection; HCC, hepatocellular carcinoma; LC, liver cirrhosis; LMH, laparoscopic minor hepatectomy; PHT, portal hypertension; HBV, hepatitis B virus; NA, not applicable..
Definition of elderly: *<70/70–79/≥80 yr; †<65/65–79/≥80; ‡<70/70–80/≥81 yr; §<50/50–79/≥80; ∥<50/50–69/70–79/≥80 yr..
Forty-eight articles reported the results of the OS. In the elderly group meta-analysis, at the 3-year postoperative point, the median OS of the elderly group was 70.0% (IQR, 62.7% to 75.1%) and 74.3% (IQR, 66.8% to 77.9%) in the non-elderly group. The median survival periods were similar between the two groups: the elderly group had a median of 69 months (IQR, 52.5 to 77.0 months), while the non-elderly group had a median of 73.3 months (IQR, 60.0 to 89.7 months). In the analysis of the super elderly group (≥80 years), the 3-year median OS rates were 67.7% (IQR, 53.3% to 79.3%) for the super elderly and 70.9% (IQR, 46.0% to 76.8%) for the non-super elderly, respectively. Similar to the elderly group analysis, median survival periods were similar between the super elderly and non-super elderly; 64.8 months in super elderly and 79.4 months in non-super elderly (Supplementary Table 1).
We conducted a meta-analysis on OS between elderly and non-elderly groups. Univariate analysis showed that the OS of the elderly group was worse than that of the non-elderly group (HR, 1.18; 95% CI, 1.09 to 1.27; I2=67%) (Fig. 2A), whereas, in multivariate analysis, there was no significant difference between the two groups (HR, 1.26; 95% CI, 0.92 to 1.74; I2=71%). In subgroup analysis, studies that used 75 years as the age threshold for the elderly showed lower heterogeneity, and the overall mortality of the elderly group was higher than that of the non-elderly group (HR, 1.29; 95% CI, 1.17 to 1.42; I2=23%) (Table 2).
Meta-Analysis on Overall Survival: Elderly versus Non-Elderly.
Variable | Univariate analysis | Multivariate analysis | |||||
---|---|---|---|---|---|---|---|
No. of studies | Random, IV HR (95% CI) | I2, % | No. of studies | Random, IV HR (95% CI) | I2, % | ||
Overall mortality | 32 | 1.18 (1.09–1.27) | 67 | 4 | 1.26 (0.92–1.74) | 71 | |
Using data | NA | ||||||
Calculated data | 23 | 1.13 (1.04–1.22) | 52 | NA | |||
Reported data | 9 | 1.26 (1.07–1.49) | 79 | NA | |||
Age cutoff | |||||||
65–70 yr | 18 | 1.09 (1.00–1.19) | 66 | 1 | 1.08 (0.49–2.36) | NA | |
75 yr | 14 | 1.29 (1.17–1.42) | 23 | 2 | 1.39 (0.69–2.81) | 89 | |
Publication year | |||||||
2016–2022 | 20 | 1.19 (1.08–1.31) | 70 | 4 | 1.26 (0.92–1.74) | 71 | |
2010–2015 | 13 | 1.19 (1.02–1.40) | 61 | 0 | - | - | |
Country | |||||||
Asia | 26 | 1.15 (1.07–1.24) | 65 | 2 | 1.23 (0.90–1.69) | 0 | |
Non-Asia | 6 | 1.46 (0.96–2.20) | 77 | 2 | 1.39 (0.69–2.81) | 89 | |
MINORS score | |||||||
Over median value (20) | 15 | 1.32 (1.15–1.50) | 70 | 2 | 1.39 (0.69–2.81) | 89 | |
Under median value (20) | 17 | 1.10 (0.99–1.22) | 67 | 2 | 1.23 (0.90–1.69) | 0 |
IV HR, inverse variance hazard ratio; CI, confidence interval; NA, not applicable; MINORS, methodological index for non-randomized studies..
Sensitivity analysis between the super elderly (≥80 years) and the non-super elderly group showed higher overall mortality in the super elderly group (HR, 1.32; 95% CI, 1.04 to 1.67; I2=79%), but had higher heterogeneity between studies. In subgroup analysis, studies published between 2010 and 2015 showed lower heterogeneity and the risk of death for the super elderly group was higher than that for the non-super elderly group (HR, 1.59; 95% CI, 1.00 to 2.53; I2=0%). Furthermore, in studies with high MINORS score, there was no statistical heterogeneity, and the overall mortality for the super elderly group was also higher (HR, 1.22; 95% CI, 1.03 to 1.44; I2=0%) (Supplementary Table 2).
DFS was reported in 34 studies. In the elderly group analysis, at the 3-year postoperative point, the median DFS rate for the elderly group was 40.6% (IQR, 36.0% to 50.9%), while the non-elderly group showed a rate of 44.9% (IQR, 35.7% to 54.5%). Five-year median DFS rate was 33.0% in both elderly and non-elderly groups (IQR, 25.6% to 36.9% and IQR, 25.6% to 39.8%, respectively). The median DFS periods were similar between the two groups, with the elderly group having 27.8 months (IQR 20.3 to 35.8 months) and the non-elderly group having 33.4 months (IQR, 18.6 to 42.6 months) (Supplementary Table 1). According to the univariate analysis for DFS, there was no statistically significant difference between elderly and non-elderly groups (HR, 1.03; 95% CI, 0.99 to 1.08; I2=0%) (Table 3, Fig. 2B).
Meta-Analysis on Disease-Free Survival: Elderly versus Non-Elderly.
Variable | Univariate analysis | ||
---|---|---|---|
No. of studies | Random, IV HR (95% CI) | I2, % | |
Overall estimate | 21 | 1.03 (0.99–1.08) | 0 |
Using data | |||
Calculated data | 15 | 1.04 (0.96–1.13) | 17 |
Reported data | 6 | 1.03 (0.97–1.10) | 0 |
Age cutoff | |||
65–70 yr | 10 | 1.05 (0.97–1.14) | 0 |
75 yr | 11 | 1.02 (0.96–1.08) | 0 |
Publication year | |||
2016–2022 | 13 | 1.04 (0.99–1.09) | 0 |
2010–2015 | 8 | 1.17 (0.92–1.49) | 34 |
Country | |||
Asia | 18 | 1.02 (0.98–1.07) | 0 |
Non-Asia | 3 | 1.43 (1.02–2.01) | 0 |
MINORS score | |||
Over median value (20) | 10 | 1.06 (0.91–1.24) | 33 |
Under median value (20) | 11 | 1.04 (0.99–1.10) | 0 |
IV HR, inverse variance hazard ratio; CI, confidence interval; MINORS, methodological index for non-randomized studies..
In sensitivity analysis for the super elderly group (≥80 years), 3-year median DFS were 38.1% (IQR, 34.1% to 46.2%) and 46.3% (IQR, 38.8% to 47.9%) for super elderly and non-super elderly respectively. Five-year median DFS rates were 35.1% (IQR, 19.4% to 40.2%) and 32.3% (IQR, 28.7% to 35.2%) respectively. Median DFS periods were 26.3 months (IQR, 24.0 to 31.3 months) in super elderly and 28.4 months (IQR, 20.5 to 33.2 months) in non-super elderly (Supplementary Table 1).
Overall postoperative mortality, 30 days postoperative mortality, 90 days postoperative mortality, in-hospital mortality, and mortality related to hepatic failure were analyzed (Table 4). Fourteen studies reported overall postoperative mortality and there was no significant difference between elderly and non-elderly groups (OR, 1.07; 95% CI, 0.87 to 1.31; I2=51%) (Fig. 2C). Whereas the elderly group showed significantly higher 30 days, 90 days mortality, and in-hospital mortality rates compared to the non-elderly group with OR of 2.13, 1.65, and 1.78, respectively. However, hepatic failure-related mortality showed no significant difference between the two groups (OR, 1.28; 95% CI, 0.76 to 2.16; I2=0%). Within the super elderly (≥80 years) group versus non-super elderly group analysis, the super elderly group showed significantly higher in-hospital mortality (OR, 2.51; 95% CI, 1.16 to 5.45). However, there were no significant differences in overall postoperative mortality (OR, 0.91; 95% CI, 0.33 to 2.50) (Fig. 2D), 30 days, and 90 days mortality between the two groups (Table 4).
Postoperative Mortality: Elderly versus Non-Elderly, Super Elderly versus Non-Super Elderly.
Outcome variable | No. of studies | Elderly | Non-elderly | Random, M-H pooled OR | 95% CI | I2, % | |||
---|---|---|---|---|---|---|---|---|---|
No. of participants | Events | No. of participants | Events | ||||||
Elderly vs non-elderly | |||||||||
Overall mortality rate | 14 | 1,813 | 734 | 4,525 | 2,057 | 1.07 | 0.87–1.31 | 51 | |
30-Day mortality rate | 10 | 1,740 | 24 | 5,921 | 58 | 2.13 | 1.28–3.54 | 0 | |
90-Day mortality rate | 13 | 1,738 | 47 | 5,841 | 115 | 1.65 | 1.09–2.49 | 8 | |
In-hospital mortality rate | 10 | 1,055 | 31 | 3,175 | 47 | 1.78 | 1.03–3.09 | 14 | |
Hepatic failure-related mortality rate | 11 | 1,463 | 28 | 2,976 | 45 | 1.28 | 0.76–2.16 | 0 | |
Super elderly vs non-super elderly | |||||||||
Overall mortality rate | 4 | 137 | 39 | 2,304 | 929 | 0.91 | 0.33–2.50 | 75 | |
30-Day mortality rate | 6 | 287 | 6 | 6,954 | 92 | 2.27 | 0.99–5.18 | 0 | |
90-Day mortality rate | 4 | 149 | 3 | 3,828 | 55 | 2.05 | 0.76–5.57 | 0 | |
In-hospital mortality rate | 5 | 143 | 6 | 4,548 | 102 | 2.51 | 1.16–5.45 | 0 | |
Hepatic failure-related mortality rate | 0 | - | - | - | - |
M-H, Mantel-Haenszel; OR, odds ratio; CI, confidence interval..
The overall postoperative complication was reported in 26 studies (Table 5). The elderly group had a higher incidence of postoperative complications than that of the non-elderly group (OR, 1.44; 95% CI, 1.22 to 1.69; I2=51%) (Fig. 2E). The elderly group also had a higher incidence of major postoperative complications (OR, 1.30; 95% CI, 1.11 to 1.53; I2=26%), whereas no significant difference in postoperative hepatic failure was observed between the two groups (OR, 1.20; 95% CI, 0.79 to 1.82; I2=0%). In sensitivity analysis, the super elderly group had a higher incidence of complications than the non-super elderly group (OR, 2.02; 95% CI, 1.35 to 3.02; I2=65%) (Fig. 2F) whereas major postoperative complications and postoperative hepatic failure did not show a statistical difference between groups.
Postoperative Complications: Elderly versus Non-Elderly, Super Elderly versus Non-Super Elderly.
Outcome variable | No. of studies | Elderly | Non-elderly | Random, M-H pooled OR | 95% CI | I2, % | |||
---|---|---|---|---|---|---|---|---|---|
No. of participants | Events | No. of participants | Events | ||||||
Elderly vs non-elderly | |||||||||
Overall postoperative complications | 26 | 2,943 | 1,184 | 8,629 | 2,762 | 1.44 | 1.22–1.69 | 51 | |
Major postoperative complications | 24 | 2,476 | 411 | 8,360 | 1,041 | 1.30 | 1.11–1.53 | 26 | |
Postoperative hepatic failure | 13 | 1,154 | 33 | 3,914 | 100 | 1.20 | 0.79–1.82 | 0 | |
Super elderly vs non-super elderly | |||||||||
Overall postoperative complications | 9 | 359 | 171 | 9,457 | 2,940 | 2.02 | 1.35–3.02 | 65 | |
Major postoperative complications | 7 | 197 | 28 | 3,516 | 328 | 1.25 | 0.66–2.39 | 47 | |
Postoperative hepatic failure | 8 | 197 | 5 | 5,147 | 83 | 2.25 | 0.96–5.27 | 0 |
M-H, Mantel-Haenszel; OR, odds ratio; CI, confidence interval..
Through this meta-analysis, several meaningful results regarding the efficacy and safety of surgery in elderly HCC patients were obtained. These results can be of great help to clinicians in decision-making in a recent trend where the number of elderly HCC patients is increasing.
The first finding of our study was that there was no statistically significant difference in the efficacy outcomes, namely OS and DFS, between the elderly and non-elderly groups (Tables 2 and 3). Univariate analysis for OS showed a difference between the elderly and non-elderly groups (HR, 1.18; 95% CI, 1.09 to 1.27). However, in multivariate analysis, no statistically significant difference was observed between the two groups (HR, 1.26; 95% CI, 0.92 to 1.74). Therefore, it is suggested that factors other than surgery might have had a greater influence on the difference in OS between the elderly and non-elderly groups.24,63 One possible interpretation of this result may be that relative to the past, the overall health status has improved owing to recent advancements in medical technology, which led to an increase in average lifespan and improved performance among the elderly population.64 Another speculation is that the likelihood of undergoing surgery in selected patients, particularly those with good performance status, is higher in actual clinical practice. Patients with poor performance status often undergo other procedures such as radiofrequency ablation rather than surgery.65 Therefore, the patients analyzed in this study might have had similar initial pre-operative conditions compared to the non-elderly group. The last hypothesis is that the overall advancement in surgical techniques and postoperative management might have contributed to improved surgical outcomes in elderly HCC patients.66 To investigate this hypothesis further, subgroup analyses were conducted according to the year of publication which indicated no significant differences in results across different study periods (Table 2).
The second finding is that in the Asian region, the difference in OS and DFS between elderly and non-elderly groups had a less pronounced trend compared to the non-Asian regions, although not statistically significant (Tables 2 and 3). This is thought to be due to the differences in HCC etiology and surgical methods between Asia and non-Asian countries. In Asia, the proportion of HCC due to viral hepatitis such as hepatitis B virus or hepatitis C virus is significantly higher compared to the predominance of nonalcoholic fatty liver disease-associated HCC in the West.2,67-69 It is known that the average age of nonalcoholic fatty liver disease-associated HCC patients is about 5 to 10 years older than that of viral hepatitis-associated HCC patients.70-72 Therefore, it is assumed that the median age of Asia's HCC is lower than that of the West, potentially resulting in improved postoperative survival. Moreover, the incidence of HCC is higher in Asia compared to non-Asian countries, and the difference in surgical experience and techniques due to the higher incidence in Asia may have contributed to better surgical outcomes in elderly Asian HCC patients compared to non-Asian patients.69,73
The third finding of our study revealed a higher postoperative mortality in the elderly group compared to the non-elderly group, with a particularly high in-hospital mortality noted in the super elderly group (≥80 years). While it was somewhat predictable that postoperative mortality would be higher in the elderly, our study was able to objectively quantify this.74 Therefore, it is essential to consider longer in-hospital monitoring periods for elderly HCC patients, especially for the super elderly after surgery. Additionally, both the elderly and super elderly groups exhibited higher rates of postoperative complications, with a notably increased risk of major postoperative complications observed in the elderly group. This highlights the need for greater attention to postoperative management in elderly patients.31 Although there were no significant differences in hepatic failure-related deaths, it is important to note that this could be due to the inclusion of patients with remaining liver reserve functions suitable for surgery, emphasizing the need for careful interpretation of the results.
Our study has several limitations. First, the individual comorbidities were not considered. This study conducted a meta-analysis of the entire cohort without adjusting for comorbidities. However, the reported comorbidities varied across studies, and studies with objectively quantifiable measures suitable for meta-analysis, such as the Charlson comorbidity index score, were limited. Therefore, adjusting for comorbidities to derive conclusive results proved challenging. The comorbidities frequently mentioned and adjusted from several studies were as follows: hypertension, diabetes, hyperlipidemia, chronic kidney disease, cerebrovascular disease, cerebrovascular accident, pulmonary disease, and Charlson comorbidity index score. To make up for this shortcoming, a multivariate analysis adjusting for other variables was conducted in regard to the OS, but it still had some limitations. Second, in our meta-analysis, we did not perform sub-analyses according to baseline liver function or cancer status. However, considering that the majority of surgical candidates were likely to be Child-Pugh class A with stage I patients, we believe there may have been some level of homogeneity between the two groups. Furthermore, the included studies were all retrospective design and focused only on patients who underwent surgery, which may have resulted in selection bias. Fourth, in sensitivity analysis for the super elderly group (≥80 years), the efficacy outcomes did not demonstrate consistent results compared to those of elderly versus non-elderly analysis. Due to the small number of studies and patients, as well as high heterogeneity among the literature, accurate evaluation was restricted, hence further detailed research is required for the super elderly patient population.17,19,38,52,55-59,61,62,75 Fifth, our study did not differentiate between different surgical methods (open surgery vs laparoscopic surgery), which could influence both efficacy and safety outcomes. Lastly, while our study evaluated OS and DFS, it lacks a comprehensive analysis of other relevant outcomes such as quality of life, postoperative functional status, and patient-reported outcomes. These factors are crucial for an assessment of the impact of surgical resection on elderly patients and further research should consider these aspects of efficacy outcome.
In conclusion, through careful and multidisciplinary patient selection for surgical candidates among elderly HCC patients, both OS and DFS would not be worse than those of the non-elderly group. Thus, it is imperative to actively consider surgical treatment in the selected elderly HCC patients. Future studies that adjust for differences in comorbidity and surgical method might be crucial to determine the respective weights of variables affecting efficacy and safety outcomes. Ultimately, deriving a scoring system or a guideline to assist the decision-making process for surgical treatment in elderly HCC patients is required in the clinical setting. In our meta-analysis results, factors that could be included in the scoring system may consist of age 65 and above, age 80 and above, geographic location (Asia vs non-Asia). Further research should consider incorporating additional factors such as sex, cancer stage, cancer size, CTP score, performance status, comorbidities, surgical method, and hospital size into the scoring system.76,77
This study was supported by the National Evidence-based Healthcare Collaborating Agency (NECA) (NA21-008; NA22-006) and the Soonchunhyang University Research Fund.
No potential conflict of interest relevant to this article was reported.
Study concept and design: D.A.P., G.H.C. Data acquisition: D.A.P., S.R., J.P. Data analysis and interpretation: D.A.P., J.J.Y. Drafting of the manuscript: J.S.L., J.J.Y. Critical revision of the manuscript for important intellectual content: J.J.Y., D.A.P. Statistical analysis: J.J.Y., D.A.P. Approval of final manuscript: all authors.
Supplementary materials can be accessed at https://doi.org/10.5009/gnl230485.
Demographics and Characteristics of Studies Included in the Systematic Review: Elderly versus Non-Elderly
Study (year) | Country | Institution | Recruitment period | Matching | Objective | Age cutoff, yr | No. of elderly | No. of non-elderly | Baseline liver function, % | Tumor size, mm | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Elderly Child A/B | Non-elderly Child A/B | Elderly | Non-elderly | ||||||||||
Fujio (2022)12 | Japan | Single | 2012–2016 | NR | HR for HCC | 75 | 22 | 39 | 95/5 | 87/13 | 53.6 | 52 | |
Pu (2022)15 | China | Multicenter | 2007–2019 | PSM | R0 HR for HCC | 70 | 140 | 140 | 94/6 | 94/6 | NA | NA | |
Harada (2021)11 | Japan | Single | 2001–2012 | PSM | HR for HCC | 70 | 234 | 234 | 97/3 | 95/5 | 30 | 31 | |
Liu (2021)16 | Taiwan | Registry | 2007–2017 | NR | HR for HCC | 75 | 96 | 908 | NA | NA | 41.5 | NA | |
Tan (2021)17 | Singapore | Single | 2000–2018 | NR | HR for HCC | 70 | 278 | 764 | 94/6 | 95/5 | 45 | 38 | |
Chen (2020)13 | China | Multicenter | 2006–2016 | NR | HR for HCC | 65 | 92 | 738 | 91/9 | 89/11 | 105 | 108 | |
Shin (2020)18 | Korea | Single | 2012–2018 | NR | HR for HCC | 70 | 49 | 184 | NA | NA | NA | NA | |
Shimada (2020)19 | Japan | Single | 2000–2017 | NR | HR for HCC | 65 | 363 | 384 | NA | NA | 57 | 61 | |
Yasuda (2020)20 | Japan | Single | 2000–2013 | NR | Major HR for HCC | 70 | 23 | 18 | 100/0 | 100/0 | 54 | 78 | |
Xing (2020)21 | China | Multicenter | 2003–2016 | NR | HR for HCC | 70 | 259 | 1,875 | 96/4 | 90/10 | NA | NA | |
Famularo (2019)22 | Italy | Multicenter | 2005–2015 | PSM | HR for HCC | 75 | 92 | 92 | 92/8 | 96/4 | 35 | 41 | |
Jiang (2019)23 | China | Registry | 2004–2015 | NR | HR for HCC | 65 | 956 | 1,392 | NA | NA | NA | NA | |
Kaibori (2019)24 | Japan | Registry | 2000–2007 | NR | HR for HCC | 75 | 2,020 | 10,567 | 92/8 | 90/10 | 38 | NA | |
Okamura (2018)25 | Japan | Single | 2002–2014 | PSM | HR for HCC | 75 | 72 | 72 | 99/1 | 99/1 | NA | NA | |
Chen (2018)26 | China | Single | 2010–2016 | NR | HR for HCC | 65 | 256 | 886 | 91/9 | 82/18 | NA | 84 | |
Goh (2018)27 | Singapore | Single | 2007–2016 | PSM | LMH for HCC | 70 | 40 | 94 | NA | NA | 30 | 25 | |
Hsu (2018)28 | Taiwan | Single | 2003–2014 | NR | HR for large HCC (>5 cm) | 70 | 79 | 178 | 92/8 | 89/11 | 86 | 90 | |
Wang (2018)29 | China | Single | 2011–2016 | NR | HR for HCC | 70 | 48 | 97 | NA | NA | NA | NA | |
Yu (2018)30 | China | Single | 2003–2013 | NR | HR for HCC | 70 | 23 | 58 | 83/17 | 91/9 | 47 | 37 | |
Santambrogio (2017)31 | Italy | Single | 1998–2015 | NR | HR for HCC | 75 | 53 | 115 | 100/0 | 100/0 | NA | NA | |
Bauschke (2016)32 | Germay | Single | 1995–2014 | NR | HR for HCC | 70 | 63 | 81 | 87/13 | 77/23 | NA | NA | |
Cucchetti (2016)33 | Italy | Single | 1997–2013 | NR | HR for HCC with LC | 70 | 229 | 690 | NA | NA | NA | NA | |
Harimoto (2016)34 | Japan | Single | 2004–2013 | NR | HR for HCC | 70 | 139 | 157 | 94/6 | 96/4 | 40 | 40 | |
Kim (2015)35 | Korea | Single | 2006–2010 | NR | HR for HCC | 70 | 60 | 219 | NA | NA | 49 | 49 | |
Kishida (2015)36 | Japan | Single | 2005–2010 | NR | HR for HCC | 75 | 22 | 82 | 91/9 | 99/1 | 35 | 30 | |
Motoyama (2015)37 | Japan | Single | 1990–2013 | NR | HR for HCC | 75 | 113 | 499 | 95/5 | 94/6 | 33 | 30 | |
Nozawa (2015)38 | Japan | Single | 2000–2010 | NR | HR for HCC | 70 | 192 | 239 | 86/14 | 85/15 | NA | 30 | |
Sato (2015)39 | Japan | Single | 2000–2010 | NR | HR for HCC | 75 | 34 | 195 | 74/26 | 83/17 | 49 | 54 | |
Faber (2014)40 | Germany | Single | 2000–2010 | NR | HR for HCC with LC | 70 | 63 | 78 | NA | NA | 50 | 50 | |
Liu (2014)41 | Taiwan | Single | 2002–2013 | PSM | HR for HCC | 75 | 118 | 118 | 93/7 | 93/7 | NA | NA | |
Mori (2014)42 | Japan | Single | 2000–2012 | NR | HR for HCC with PHT | 70 | 64 | 131 | 78/22 | 71/29 | 41 | 33 | |
Ueno (2014)43 | Japan | Single | 2001–2010 | NR | HR for HCC | 75 | 66 | 186 | 91/9 | 91/9 | 50 | 40 | |
Wang (2014)44 | China | Single | 2007–2012 | NR | HR for HBV related HCC | 65 | 207 | 1,336 | NA | NA | NA | NA | |
Wang (2014)45 | China | Single | 2007–2012 | Paired matched | Major hepatectomy for HCC with LC | 70 | 56 | 152 | 86/14 | 80/20 | 75 | 89 | |
Hirokawa (2013)46 | Japan | Single | 2000–2011 | NR | HR for HCC | 70 | 100 | 120 | 88/12 | 82/18 | 35 | 30 | |
Ide (2013)47 | Japan | Single | 2000–2010 | NR | HR for HCC | 75 | 64 | 192 | 89/11 | 88/12 | 49 | 49 | |
Murillo (2013)48 | Spain | Single | 2000–2011 | NR | HR for HCC | 70 | 22 | 14 | NA | NA | 38 | 47 | |
Nishikawa (2013)49 | Japan | Single | 2004–2012 | NR | HR for HCC | 75 | 92 | 206 | 98/2 | 96/4 | 46 | 48 | |
Taniai (2013)50 | Japan | Single | 1990–2010 | NR | HR for HCC | 75 | 63 | 353 | 89/11 | 75/24/1 | NA | NA | |
Lee (2012)51 | Korea | Single | 2000–2010 | NR | HR for HCC | 70 | 61 | 90 | NA | NA | 45 | 43 | |
Nanashima (2011)52 | Japan | Single | 1994–2009 | NR | HR for HCC | 70 | 69 | 119 | 93/7 | 89/11 | NA | NA | |
Portolani (2011)53 | Italy | Single | 1992–2009 | NR | HR for HCC | 70 | 175 | 276 | 92/8 | 93/7 | 48 | 49 | |
Mirici-Cappa (2010)54 | Italy | Multicenter | 1987–2004 | PSM | HR for HCC | 70 | 32 | 32 | 93/7 | 82/13 | 34 | 41 | |
Tan (2021)17* | Singapore | Single | 2000–2018 | NR | HR for HCC | 80 | 50 | 1,042 | 92/8 | 94/6 | 80 | NA | |
Sanyal (2020)55 | England | Single | 2005–2015 | NR | HR for HCC | 80 | 19 | 181 | NA | NA | NA | NA | |
Shimada (2020)19† | Japan | Single | 2000–2017 | NR | HR for HCC | 80 | 49 | 757 | NA | NA | 64 | NA | |
Inoue (2019)56 | Japan | Single | 2001–2017 | PSM | HR for HCC | 80 | 45 | 485 | 100/0 | 93/7 | 41 | 32 | |
Lee (2019)57 | Taiwan | Single | 1986–2015 | NR | HR for HCC | 80 | 77 | 3,309 | 96/4 | 96/4 | 59 | 42 | |
Wu (2019)58 | Taiwan | Single | 1992–2016 | NR | HR for HCC | 85 | 31 | 1,858 | 87/10/3 | 87/11/2 | 56 | 65 | |
Chen (2018)26† | China | Single | 2010–2016 | NR | HR for HCC | 80 | 32 | 1,110 | 94/6 | 84/16 | 69 | NA | |
Hamaoka (2017)59 | Japan | Single | 2004–2013 | NR | HR for HCC | 80 | 60 | 565 | 93/7 | 93/7 | 33 | 27 | |
Nozawa (2015)38‡ | Japan | Single | 2000–2010 | NR | HR for HCC | 80 | 20 | 411 | 95/5 | 85/15 | 41 | NA | |
Katsuta (2014)60§ | Japan | Single | 2000–2012 | NR | HR for HCC | 80 | 29 | 457 | 83/17 | 91/9 | NA | NA | |
Tsujita (2012)61 | Japan | Multicenter | 1995–2008 | NR | HR for HCC | 80 | 23 | 385 | NA | NA | NA | NA | |
Yamada (2012)62 | Japan | Multicenter | 1992–2009 | NR | HR for HCC | 80 | 11 | 267 | 82/18 | 92/8 | 52 | 48 | |
Nanashima (2011)52∥ | Japan | Single | 1994–2009 | NR | HR for HCC | 80 | 12 | 167 | 100/0 | 90/10 | NA | NA |
NR, not reported; PSM, propensity score matching; HR, hepatic resection; HCC, hepatocellular carcinoma; LC, liver cirrhosis; LMH, laparoscopic minor hepatectomy; PHT, portal hypertension; HBV, hepatitis B virus; NA, not applicable.
Definition of elderly: *<70/70–79/≥80 yr; †<65/65–79/≥80; ‡<70/70–80/≥81 yr; §<50/50–79/≥80; ∥<50/50–69/70–79/≥80 yr.
Meta-Analysis on Overall Survival: Elderly versus Non-Elderly
Variable | Univariate analysis | Multivariate analysis | |||||
---|---|---|---|---|---|---|---|
No. of studies | Random, IV HR (95% CI) | I2, % | No. of studies | Random, IV HR (95% CI) | I2, % | ||
Overall mortality | 32 | 1.18 (1.09–1.27) | 67 | 4 | 1.26 (0.92–1.74) | 71 | |
Using data | NA | ||||||
Calculated data | 23 | 1.13 (1.04–1.22) | 52 | NA | |||
Reported data | 9 | 1.26 (1.07–1.49) | 79 | NA | |||
Age cutoff | |||||||
65–70 yr | 18 | 1.09 (1.00–1.19) | 66 | 1 | 1.08 (0.49–2.36) | NA | |
75 yr | 14 | 1.29 (1.17–1.42) | 23 | 2 | 1.39 (0.69–2.81) | 89 | |
Publication year | |||||||
2016–2022 | 20 | 1.19 (1.08–1.31) | 70 | 4 | 1.26 (0.92–1.74) | 71 | |
2010–2015 | 13 | 1.19 (1.02–1.40) | 61 | 0 | - | - | |
Country | |||||||
Asia | 26 | 1.15 (1.07–1.24) | 65 | 2 | 1.23 (0.90–1.69) | 0 | |
Non-Asia | 6 | 1.46 (0.96–2.20) | 77 | 2 | 1.39 (0.69–2.81) | 89 | |
MINORS score | |||||||
Over median value (20) | 15 | 1.32 (1.15–1.50) | 70 | 2 | 1.39 (0.69–2.81) | 89 | |
Under median value (20) | 17 | 1.10 (0.99–1.22) | 67 | 2 | 1.23 (0.90–1.69) | 0 |
IV HR, inverse variance hazard ratio; CI, confidence interval; NA, not applicable; MINORS, methodological index for non-randomized studies.
Meta-Analysis on Disease-Free Survival: Elderly versus Non-Elderly
Variable | Univariate analysis | ||
---|---|---|---|
No. of studies | Random, IV HR (95% CI) | I2, % | |
Overall estimate | 21 | 1.03 (0.99–1.08) | 0 |
Using data | |||
Calculated data | 15 | 1.04 (0.96–1.13) | 17 |
Reported data | 6 | 1.03 (0.97–1.10) | 0 |
Age cutoff | |||
65–70 yr | 10 | 1.05 (0.97–1.14) | 0 |
75 yr | 11 | 1.02 (0.96–1.08) | 0 |
Publication year | |||
2016–2022 | 13 | 1.04 (0.99–1.09) | 0 |
2010–2015 | 8 | 1.17 (0.92–1.49) | 34 |
Country | |||
Asia | 18 | 1.02 (0.98–1.07) | 0 |
Non-Asia | 3 | 1.43 (1.02–2.01) | 0 |
MINORS score | |||
Over median value (20) | 10 | 1.06 (0.91–1.24) | 33 |
Under median value (20) | 11 | 1.04 (0.99–1.10) | 0 |
IV HR, inverse variance hazard ratio; CI, confidence interval; MINORS, methodological index for non-randomized studies.
Postoperative Mortality: Elderly versus Non-Elderly, Super Elderly versus Non-Super Elderly
Outcome variable | No. of studies | Elderly | Non-elderly | Random, M-H pooled OR | 95% CI | I2, % | |||
---|---|---|---|---|---|---|---|---|---|
No. of participants | Events | No. of participants | Events | ||||||
Elderly vs non-elderly | |||||||||
Overall mortality rate | 14 | 1,813 | 734 | 4,525 | 2,057 | 1.07 | 0.87–1.31 | 51 | |
30-Day mortality rate | 10 | 1,740 | 24 | 5,921 | 58 | 2.13 | 1.28–3.54 | 0 | |
90-Day mortality rate | 13 | 1,738 | 47 | 5,841 | 115 | 1.65 | 1.09–2.49 | 8 | |
In-hospital mortality rate | 10 | 1,055 | 31 | 3,175 | 47 | 1.78 | 1.03–3.09 | 14 | |
Hepatic failure-related mortality rate | 11 | 1,463 | 28 | 2,976 | 45 | 1.28 | 0.76–2.16 | 0 | |
Super elderly vs non-super elderly | |||||||||
Overall mortality rate | 4 | 137 | 39 | 2,304 | 929 | 0.91 | 0.33–2.50 | 75 | |
30-Day mortality rate | 6 | 287 | 6 | 6,954 | 92 | 2.27 | 0.99–5.18 | 0 | |
90-Day mortality rate | 4 | 149 | 3 | 3,828 | 55 | 2.05 | 0.76–5.57 | 0 | |
In-hospital mortality rate | 5 | 143 | 6 | 4,548 | 102 | 2.51 | 1.16–5.45 | 0 | |
Hepatic failure-related mortality rate | 0 | - | - | - | - |
M-H, Mantel-Haenszel; OR, odds ratio; CI, confidence interval.
Postoperative Complications: Elderly versus Non-Elderly, Super Elderly versus Non-Super Elderly
Outcome variable | No. of studies | Elderly | Non-elderly | Random, M-H pooled OR | 95% CI | I2, % | |||
---|---|---|---|---|---|---|---|---|---|
No. of participants | Events | No. of participants | Events | ||||||
Elderly vs non-elderly | |||||||||
Overall postoperative complications | 26 | 2,943 | 1,184 | 8,629 | 2,762 | 1.44 | 1.22–1.69 | 51 | |
Major postoperative complications | 24 | 2,476 | 411 | 8,360 | 1,041 | 1.30 | 1.11–1.53 | 26 | |
Postoperative hepatic failure | 13 | 1,154 | 33 | 3,914 | 100 | 1.20 | 0.79–1.82 | 0 | |
Super elderly vs non-super elderly | |||||||||
Overall postoperative complications | 9 | 359 | 171 | 9,457 | 2,940 | 2.02 | 1.35–3.02 | 65 | |
Major postoperative complications | 7 | 197 | 28 | 3,516 | 328 | 1.25 | 0.66–2.39 | 47 | |
Postoperative hepatic failure | 8 | 197 | 5 | 5,147 | 83 | 2.25 | 0.96–5.27 | 0 |
M-H, Mantel-Haenszel; OR, odds ratio; CI, confidence interval.