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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 |
All papers submitted to Gut and Liver are reviewed by the editorial team before being sent out for an external peer review to rule out papers that have low priority, insufficient originality, scientific flaws, or the absence of a message of importance to the readers of the Journal. A decision about these papers will usually be made within two or three weeks.
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Yi-Chia Lee*,†, Tsung-Hsien Chiang*,‡,§, Jyh-Ming Liou*,†, Hsiu-Hsi Chen†, Ming-Shiang Wu*, and David Y Graham¶
*Department of Internal Medicine, National Taiwan University College of Medicine, Taipei, Taiwan
†Institute of Epidemiology and Preventive Medicine, National Taiwan University College of Public Health, Taipei, Taiwan
‡Graduate Institute of Clinical Medicine, National Taiwan University College of Medicine, Taipei, Taiwan
§Department of Integrated Diagnostics and Therapeutics, National Taiwan University Hospital, Taipei, Taiwan
¶Department of Medicine, Michael E. DeBakey VA Medical Center, and Baylor College of Medicine, Houston, TX, USA
Correspondence to: Ming-Shiang Wu, Department of Internal Medicine, National Taiwan University Hospital, No. 7, Chung-Shan South Road, Taipei 10002, Taiwan, Tel: +886-2-23123456, Fax: +886-2-23412775, E-mail: mingshiang@ntu.edu.tw
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 2016;10(1):12-26. https://doi.org/10.5009/gnl15091
Published online January 15, 2016, Published date January 31, 2016
Copyright © Gut and Liver.
Although the age-adjusted incidence of gastric cancer is declining, the absolute number of new cases of gastric cancer is increasing due to population growth and aging. An effective strategy is needed to prevent this deadly cancer. Among the available strategies, screen-and-treat for
Keywords: Population screening,
Gastric cancer is the fifth most common cancer in the world, with the majority of cases arising in East Asia.1 The age-adjusted incidence of gastric cancer has steadily declined, not only because of improvements in sanitation and hygiene, but also because the eradication of
The traditional approach for prevention of gastric cancer is one of secondary prevention and emphasizes the use of endoscopy to identify early cancer and provide curative treatment.4 In 2005, the Nobel Prize in Physiology or Medicine was awarded jointly to Barry Marshall and Robin Warren for their discovery of the
To summarize, the major question currently is no longer whether we should eradicate
In Taiwan, programmatic gastric cancer prevention was started in 2004 for a high-risk population on an offshore island (i.e., Matsu Island Gastric Cancer Prevention Program; Trial registration number: NCT00155389) utilizing the strategy of mass eradication of
Despite the importance of
When a population harbors a high disease burden, asymptomatic members of the population are likely to be aware of the disease and thus may participate in screening. In populations with a high disease burden, the positive predictive value (PPV) of the test will also be high. On a global scale, the IARC has predicted that the annual number of new cases of gastric cancer is expected to increase or remain at a constant level by 2030 (Table 1).7 This prediction is consistent with the experience in Taiwan, where gastric cancer is the seventh most common cancer and the sixth most deadly cancer. Every year in Taiwan, there are around 3,800 new cases with an incidence of approximate 17 per 100,000 person-years; approximately 2,300 persons die from gastric cancer each year.13 Although the age-standardized incidence of gastric cancer is declining, the absolute numbers of incident cases are stationary or even slightly increased; by contrast, the incidence of colorectal cancer is rapidly increasing. Following the nationwide screening program launched in 2004, its case-fatality rate (ratio of mortality/incidence) is 0.35, which is much lower than that of gastric cancer (0.59), reflecting the urgent need to prevent gastric cancer in Taiwan.
Understanding the natural history of a particular type of cancer is crucial in the design of an effective intervention. As shown in Fig. 1A, the natural course of a cancer can be separated into three phases: (1) the carcinogenic phase (i.e., increased cancer risk due to carcinogen exposure); (2) the PCDP (i.e., early-stage, presymptomatic cancer); and (3) the clinical phase (i.e., advanced-stage, symptomatic cancer). Cancers at the PCDP are the targets of screening, although not every type of cancer is amenable to detection by screening. The longer the PCDP (i.e., the time between cancer onset and clinical symptoms), the longer the lead time (i.e., the time between cancer detection and clinical symptoms); when a diagnosis is made by screening, prolonged survival (or cure) may be possible. The PCDPs of various cancers have been estimated in the work of Bray
The mean PCDP of gastric cancer is relatively short, about 1.4 years,14 which may explain why a 1- to 2-year screening interval is generally recommended for endoscopic surveillance in high risk groups. In fact, upper endoscopy is not an ideal mass-screening tool for gastric cancer as it is expensive, labor-intensive, and not without risk. In addition, the results are subject to interoperator variation so interval cancers18 (i.e., symptomatic cancer diagnosed during the interscreening interval) are not infrequent. By contrast, colorectal cancer, which has a PCDP of approximate 3 years, is suitable for biennial screening with the noninvasive fecal immunochemical testing, which also has the advantage of a high yield with positive tests.19
A number of cancers (Fig. 1B) have well-established risk factors such that elimination of, or protection from, these factors can prevent cancer development. Population-based vaccination against viruses that causes cervical cancer20 or liver cancer21 has been shown to be effective in reducing the subsequent cancer risk. In contrast,
The decision to eradicate
Reliable tests are available to diagnose
During screening, the PPV of a screening test is the key process indicator to support the effectiveness of a program.38 In a screen-and-treat strategy, the PPV is dependent on both the performance of
In a population with a
Highly effective antibiotic regimens are available for most populations. The success of antimicrobial therapy for a bacterial infection depends largely on the presence of susceptibility to the antibiotic or antibiotics and the adherence of the patients to the therapy. With a multiple-drug therapy, one only needs to know the antibiotic-resistance pattern and the eradication rates for each subgroup in relation to the antibiotics (e.g., susceptible to all, resistant to one antibiotic, etc).43 With these data, one can create a reliable model to estimate the treatment outcome with combination of a proton pump inhibitor, amoxicillin, clarithromycin, and metronidazole. The on-line calculator available at https://hp-therapy.biomed.org.tw/.44 In brief, for a regimen using amoxicillin, clarithromycin, and metronidazole, the treatment outcome can be predicted based on the summarized eradication rates according to the percentages of strains dual sensitive, single resistant, and dual resistant to clarithromycin and metronidazole, assuming that the amoxicillin resistance is a rare event, which can be summarized as:45 (% success with all-susceptible strains)×(proportion with all-susceptible infections)+(% success with clarithromycin-susceptible strains)×(proportion with clarithromycin-susceptible infections)+(% success with metronidazole-susceptible strains)×(proportion with metronidazole-susceptible infections)+(% success with dual resistant strains)×(proportion with dual resistant strains).
Based on this model, the reported outcomes of the two-antibiotic and three-antibiotic regimens can be predicted by the prevalence of antibiotic resistance in a given population (Table 3);44–58 the predicted values are indeed comparable to the observed ones. The results showed that triple therapy for 14 days may provide an incremental efficacy of about 8% as compared with 7 days’ regimen, while four-drug regimens for 14 days can provide an incremental efficacy of about 7% as compared with 14-day triple therapy.
An effective program will require effective therapies. For most populations, it is possible to identify two alternatives that are highly effective when given empirically. Patients can then be assigned to therapy using a checklist to identify those likely to fail (e.g., use of both clarithromycin and metronidazole in the past). As a general rule, the 14-day therapy provides the highest treatment success.45 The local patterns of antibiotic resistance in the general population should be collected before the implementation of a mass eradication program. In addition, special treatment centers would be needed to offer the susceptibility-based therapy for difficult-to-cure cases. In Taiwan, the regimens to be considered for most patients are triple therapy, concomitant therapy, and sequential therapy all for 14 days. Treatment failures and penicillin allergic patients would receive levofloxacin-based therapy, bismuth quadruple therapy, or susceptibility-based therapy. The considerations for primary therapy include cost, effectiveness, and side effects. Concomitant therapy will always be equal or superior to sequential therapy but has higher cost. Sequential therapy is also more complicated but this can be eliminated by prepackaged drugs.
After standardization of screening tests and antibiotic treatments, the next step is to design an organized program for implementation. The term “organized” indicates that in a screening program, it is essential to let everyone have an equal opportunity to participate and to ensure that if a screening test result is abnormal, each subject can receive correct, standardized diagnostic testing and treatment.59 The process may include protocols to define and invite the target populations, to refer those who tested positive to receive standard treatment, to audit the quality of screening, and to assess patient adherence to treatment and side effects related to treatment.
When the decision has been made to start eradication, the considerations may include whether to originally target the entire population, to target high risk populations, or to prevent new cases.
However, in the real-world setting, an ideal design may be constrained by limitations in the framework for the delivery of screening tests or the system for providing treatment. For example, in Matsu Island,10 the residents had a high prevalence of
A cancer-screening program can easily fail without adequate participation. The relationship of adherence and effectiveness of a program can be expressed as follows:
Effectiveness of a program=efficacy of antibiotic treatment×adherence
Lower adherence will result in lower effectiveness of the screening program in preventing gastric cancer even when the intervention is highly efficacious. In both programs in Taiwan, potential participants were contacted either by telephone or with a pamphlet sent by mail, inviting them to participate in screening. Furthermore, as is the case with most cancer prevention programs, advertising and educational materials are helpful (an example available at http://epaper.ntuh.gov.tw/health/201208/special_1_1.html). Such materials may improve participation by illustrating the purpose of screening and describing the follow-up diagnostics when screening tests show positive results.
To ensure the quality of an organized screening program, it is mandatory to check whether the guidelines are being followed and that the results of the screening program are being regularly reported and evaluated. To reach this goal, a series of consensus meetings should be held to develop the treatment guidelines. Educational programs should be provided to both primary care physicians and first-line healthcare workers before implementation. After implementation, standardized quality indicators should be audited periodically to ensure the quality of screening.38 In the first round in the Chunghua program,11 among 3,621 tested subjects, the return rate of fecal samples was 95.4%, the positivity rate of SAT was 36.2%, and the referral rate for antibiotic treatment of those who tested positive was approximate 70%. The eradication rate of first-line therapy was approximate 88%. Among the 643 subjects also undergoing upper endoscopy, the PPV of SAT positivity (i.e., number with lesions/total number of diagnostic endoscopies) for gastrointestinal tract lesions was 31.9% and the detection rate was 5.9% (i.e., number with lesions/tested population). These indicator variables were periodically checked for outliers among the 26 townships.
The optimal regimen for treating the asymptomatic population within the community remains unclear. Previous studies evaluating the efficacy of
In the two prevention programs in Taiwan, first-line triple therapies consistently showed an eradication rate of approximate 88%, given the antibiotic-resistance rates of approximately 1%, 8.2%, 3.8%, 21.6%, and 0.3% for amoxicillin, clarithromycin, levofloxacin, metronidazole, and tetracycline, respectively.7 In many areas that results might be considered sufficient for treatment of the population. However, in Taiwan a retest-and-retreat practice was utilized to improve the overall eradication and minimize the possible spread of antibiotic-resistant strains.7,10,42 The second-line treatment, utilized a levofloxacin-containing triple therapy for 10 days that provides an approximately 80% eradication rate resulting in an overall eradication rate of approximately 98% after two courses of treatments. For those who did not respond to the two courses of treatment (2/100), a tailored rescue regimen was designed on the basis of drug susceptibility testing.60 For a country-wide test-and-treat strategy, it would be important to examine the cost effectiveness of regimens with a higher initial yield such as concomitant therapy for initial therapy and 14-day levofloxacin triple therapy for treatment failures provided that 100% eradication was shown to be a cost effective goal.
In addition to antibiotic resistance of
The reinfection rate of
In order to ensure continuous support from policy-makers/stakeholders, evaluation of outcomes is necessary. In such an evaluation, the goals should be clearly defined, and data gathering and analysis should be performed in a timely manner. The outcomes may be categorized into the short-term end-points (e.g., surrogate outcome with premalignant gastric lesions), long-term end-points (e.g., gastric cancer incidence and mortality rate), cost-effectiveness analysis, and potential adverse effects.
In Matsu Island, the screening program applied a quasi-experimental, before-and-after study design, designating the whole population of Taiwan as an external comparator group.10 The main outcome measure was the impact of mass eradication on the changes of premalignant gastric lesions and gastric cancer, which was obtained by comparing data from the pre- and posteradication program eras in the same population. The results showed that the effectiveness of reducing the incidence of gastric atrophy and peptic ulcer was significant at 77.2% and 67.4%, respectively; the reduction in incidence of gastric cancer was 25% although it was not statistically significant. To date, there are four rounds of mass eradication implemented in this population in 2004, 2008, 2012, and 2014, and the prevalence of
In Changhua County, following the design of Matsu Gastric Cancer Prevention program, a pilot study was implemented in 2012. Among 7,463 participants during a 2-year period, the positivity rate of SAT was 34.4% with a referral rate of approximate 75%. Among the referrals, antibiotic treatment was prescribed to 99%, and five gastric cancers were found.7 Using the pilot study as a model, a randomized controlled study was launched in 2014 with inclusion of 10,000 subjects per year in each arm, and primary end-points of incident gastric cancer and death.
Not every proposed strategy can be realized at the population level, even though there is incontrovertible evidence to support the effectiveness of the strategy. The greatest impediment to widespread implementation is the fact that the proposed strategy may be costly, thus reducing its competitiveness with other health priorities. To address this problem, it requires cost-effectiveness analyses (CEA).62
In the CEA, the first step is to create a model to simulate the natural history of the disease in the absence of screening, in which the parameters are generated from empirical studies of the specific population. The second step is to compare the natural course model (i.e., null hypothesis) with active screening (i.e., alternative hypothesis); taken together, these models constitute a decision model. Third, by inputting both the effectiveness and cost data into the decision model, the ratio of change in cost to the change in effect can be calculated (i.e., the incremental cost-effectiveness ratio [ICER]) between different strategies. We can also make a projection of the long-term outcome (i.e., Markov model) without the requirements of a large sample size and long-term follow-up, and without ethical issues that may hinder the performance of an RCT. Fourth, by specifying distributions for all relevant parameters, the uncertainty in this model can be presented as an acceptability curve, which can provide the probability of each intervention being cost-effective according to different levels of the maximal willingness to pay (WTP) for a specific outcome. The final step involves varying the input of a parameter in the model by a given amount and examining whether the model’s results will change (i.e., the sensitivity analysis). From the public health perspective, a one-size-fits-all intervention may not be optimal, and the purpose of a sensitivity analysis is to inspect whether a fine-adjustment of strategy is needed to make the screening program work well on the population level, which is, in fact, composed of diverse subpopulations.
In Taiwan, the CEA has been adopted in the evaluation of costs in curing
With regards to the prevention of gastric cancer, cost-effectiveness of the screen-and-treat strategy has been evaluated on a global scale (Table 4).63–72 When compared with no screen, this strategy was generally considered to be cost-effective, and there was a trend towards recommending a younger age for initiation of screening. Among the various subpopulations to be considered are those at risk of transmission to children (an elimination of transmission subgroup), those with nonatrophic gastritis (almost complete prevention of gastric cancer subgroup), and those with atrophic gastritis (a reduction in gastric cancer subgroup). Each may require a different strategy.
It deserves mention that all studies may have underestimated the relative cost-effectiveness of mass eradication because the benefit of reducing dyspepsia and peptic ulcers and transmission was not take into consideration.73 In Taiwan, the economic evaluation has been performed for the high-risk population residing on Matsu Island, comparing the screen-and-treat for
Some studies have suggested that the widespread eradication of
In Taiwan, the prevalence of endoscopic esophagitis was found to increase following mass eradication in Matsu Island population, an area where atrophic gastritis is highly prevalent.10 The presumed mechanism may be related to the regeneration of gastric glands after the elimination of
After the mass eradication program, proper allocation of endoscopic resources is an important issue. The purpose of endoscopic screening is to find gastric cancer during the PCDP when curative treatment may be possible; however, although
To evaluate the effect of
It is likely that most studies will be stopped prematurely as they were based on the concept that it was necessary to prove that
Awareness that gastric cancer is an infection-associated disease has been increasing worldwide, and gastric cancer, once a dreaded disease for which endoscopy provided the only hope of early detection, is gradually becoming a preventable disease through a short-course antibiotic treatment. In the past 30 years, compelling progress in the development of non-invasive tests to identify active infection, the ability to culture
GCA, gastric cancer; s/p, status post.
Predicted Burden of Gastric Cancer, 2012–2030
Year | Demographic effect | Demographic effect with −2.0% APC |
---|---|---|
2012 | 0.95 | 0.95 |
2015 | 1.03 | 0.97 |
2020 | 1.17 | 1.00 |
2025 | 1.34 | 1.03 |
2030 | 1.52 | 1.06 |
Benefit of
Benefit of | Evidence level |
---|---|
Gastric cancer | Ic |
Peptic ulcer disease | Ia |
MALT lymphoma | 1a |
Functional dyspepsia | Ia |
Atrophic gastritis | 1a |
Vitamin B12 deficiency | 3b |
Iron deficiency anemia | 1a |
Idiopathic thrombocytopenic purpura | 1b |
Estimation of the Efficacy of Triple Therapy and Sequential Therapy in the First-Line Treatment of
Author (year), area | Regimen, day | Prevalence of clarithromycin resistance | Prevalence of metronidazole resistance | Observed efficacy | Expected efficacy |
---|---|---|---|---|---|
Zullo | Triple therapy, 7 | 4.4 (6/137) | 27 (37/137) | 77 | 88 |
Sequential therapy, 10 | 6.7 (9/135) | 26.7 (36/135) | 95 | 89.1 | |
Sequential therapy, 14 | - | - | - | 93.4 | |
Romano | Triple therapy, 7 | 12.5 (8/75) | 22.5 (16/75) | 79.4 | 84.8 |
Sequential therapy, 10 | - | - | - | 87.9 | |
Sequential therapy, 14 | - | - | - | 91.7 | |
Vaira | Triple therapy, 10 | 18.8 (21/112) | 19.6 (22/112) | 79 | 82.3 |
Sequential therapy, 10 | 7.3 (9/123) | 28.5 (35/123) | 93 | 88.6 | |
Sequential therapy, 14 | - | - | - | 93.1 | |
Demir | Triple therapy, 14 | 64.3 (36/56) | - | 42.9 | 65.2 |
Triple therapy, 14 | 35.7 (20/58) | - | 79.3 | 76 | |
Sequential therapy, 10 | - | - | - | 80.7 | |
Sequential therapy, 14 | - | - | - | 83.4 | |
Romano | Triple therapy, 14 | - | - | - | 81.3 |
Sequential therapy, 10 | 21.8 (12/55) | 25.5 (14/55) | 82.8 | 84.7 | |
Sequential therapy, 14 | - | - | - | 88.2 | |
Wu | Triple therapy, 14 | - | - | - | 87.5 |
Sequential therapy, 10 | 6.6 (11/167) | 33.5 (56/167) | 93.1 | 88 | |
Sequential therapy, 14 | - | - | - | 93 | |
Sirimontaporn | Triple therapy, 14 | - | - | - | 87.2 |
Sequential therapy, 10 | 6.1 (7/114) | - | 92.2 | 89.6 | |
Sequential therapy, 14 | - | - | - | 93.8 | |
Yakoob | Triple therapy, 14 | 33.3 (30/92) | 48 (44/92) | 67 | 77.7 |
Sequential therapy, 10 | - | - | - | 78.8 | |
Sequential therapy, 14 | - | - | - | 82.9 | |
Hsu | Triple therapy, 14 | - | - | - | 87.7 |
Sequential therapy, 10 | - | - | - | 87.9 | |
Sequential therapy, 14 | 6.1 (4/66) | 34.8 (23/66) | 93.9 | 93.1 | |
Malfertheiner | Triple therapy, 7 | 19.1 (25/131) | 31.3 (41/131) | 70 | 82.6 |
Sequential therapy, 10 | - | - | - | 84.7 | |
Sequential therapy, 14 | - | - | - | 88.9 | |
Mahachai | Triple therapy, 14 | - | - | - | 85.3 |
Sequential therapy, 10 | 11.3 (17/151) | - | 94 | 88 | |
Sequential therapy, 14 | - | - | - | 92 | |
Liou | Triple therapy, 14 | 11.5 (21/183) | 26.2 (48/183) | 87.1 | 85.9 |
Sequential therapy, 10 | 9.4 (18/192) | 24.0 (46/192) | 90.5 | 88.6 | |
Sequential therapy, 14 | 9.4 (16/177) | 22.0 (39/177) | 94.4 | 92.6 | |
Molina-Infante | Hybrid therapy, 14 | 23.5 (16/68) | 33.8 (23/68) | 92 | 88.2 |
Concomitant therapy, 14 | 23.5 (16/68) | 33.8 (23/68) | 96.1 | 88.2 |
Cost-Effectiveness Analyses to Estimate the Applicability of Screen-and-Treat for
Author (year) | Location | Study design | Strategy | ICER for strategy 2 vs 1, (cost per life year saved or QALY) | Starting age for screening, yr |
---|---|---|---|---|---|
Parsonnet | US | Literature review | (1) No screen or (2) the serology test | $25,000 USD | 50–70 |
Fendrick | US | Literature review | (1) No screen, (2) the serology test, or (3) test, treat, re-test, and/or re-treat | $6,264 USD $11,313 USD | 40 |
Harris | US, abroad | Literature review | (1) No screen, (2) the serology test for all | $23,900 USD $25,100 USD | 50 |
Mason | UK | Randomized control trial (n=2,329) | (1) No screen or (2) 13C-UBT | £14,200 | 40–49 |
Roderick | UK | Literature review | (1) Opportunistic | £5,866 | 40 |
Wang | China | Literature review | (1) No screen or (2) the serology test | ¥1,374 | 30–40 |
Lee | Taiwan | Prospective cohort study (n=5,000) | (1) No screen, (2) 13C-UBT, or (3) the pepsinogen test | $17,044 USD | 30 |
Xie | Singapore Chinese population | Literature review | (1) No screening, (2) the serology test screening, or (3) the 13C-UBT | $25,881 USD QALY $53,602 USD QALY | 40 |
Xie | Canadian male | Literature review | (1) No screening, (2) the serology test, (3) the SAT, or (4) the 13C-UBT | $33,000 USD QALY $29,800 USD QALY $50,400 USD QALY | 35 |
Yeh | China | Literature review | (1) No screening or (2) the serology test | $1,340 USD | 20 |
Gut Liver 2016; 10(1): 12-26
Published online January 31, 2016 https://doi.org/10.5009/gnl15091
Copyright © Gut and Liver.
Yi-Chia Lee*,†, Tsung-Hsien Chiang*,‡,§, Jyh-Ming Liou*,†, Hsiu-Hsi Chen†, Ming-Shiang Wu*, and David Y Graham¶
*Department of Internal Medicine, National Taiwan University College of Medicine, Taipei, Taiwan
†Institute of Epidemiology and Preventive Medicine, National Taiwan University College of Public Health, Taipei, Taiwan
‡Graduate Institute of Clinical Medicine, National Taiwan University College of Medicine, Taipei, Taiwan
§Department of Integrated Diagnostics and Therapeutics, National Taiwan University Hospital, Taipei, Taiwan
¶Department of Medicine, Michael E. DeBakey VA Medical Center, and Baylor College of Medicine, Houston, TX, USA
Correspondence to: Ming-Shiang Wu, Department of Internal Medicine, National Taiwan University Hospital, No. 7, Chung-Shan South Road, Taipei 10002, Taiwan, Tel: +886-2-23123456, Fax: +886-2-23412775, E-mail: mingshiang@ntu.edu.tw
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.
Although the age-adjusted incidence of gastric cancer is declining, the absolute number of new cases of gastric cancer is increasing due to population growth and aging. An effective strategy is needed to prevent this deadly cancer. Among the available strategies, screen-and-treat for
Keywords: Population screening,
Gastric cancer is the fifth most common cancer in the world, with the majority of cases arising in East Asia.1 The age-adjusted incidence of gastric cancer has steadily declined, not only because of improvements in sanitation and hygiene, but also because the eradication of
The traditional approach for prevention of gastric cancer is one of secondary prevention and emphasizes the use of endoscopy to identify early cancer and provide curative treatment.4 In 2005, the Nobel Prize in Physiology or Medicine was awarded jointly to Barry Marshall and Robin Warren for their discovery of the
To summarize, the major question currently is no longer whether we should eradicate
In Taiwan, programmatic gastric cancer prevention was started in 2004 for a high-risk population on an offshore island (i.e., Matsu Island Gastric Cancer Prevention Program; Trial registration number: NCT00155389) utilizing the strategy of mass eradication of
Despite the importance of
When a population harbors a high disease burden, asymptomatic members of the population are likely to be aware of the disease and thus may participate in screening. In populations with a high disease burden, the positive predictive value (PPV) of the test will also be high. On a global scale, the IARC has predicted that the annual number of new cases of gastric cancer is expected to increase or remain at a constant level by 2030 (Table 1).7 This prediction is consistent with the experience in Taiwan, where gastric cancer is the seventh most common cancer and the sixth most deadly cancer. Every year in Taiwan, there are around 3,800 new cases with an incidence of approximate 17 per 100,000 person-years; approximately 2,300 persons die from gastric cancer each year.13 Although the age-standardized incidence of gastric cancer is declining, the absolute numbers of incident cases are stationary or even slightly increased; by contrast, the incidence of colorectal cancer is rapidly increasing. Following the nationwide screening program launched in 2004, its case-fatality rate (ratio of mortality/incidence) is 0.35, which is much lower than that of gastric cancer (0.59), reflecting the urgent need to prevent gastric cancer in Taiwan.
Understanding the natural history of a particular type of cancer is crucial in the design of an effective intervention. As shown in Fig. 1A, the natural course of a cancer can be separated into three phases: (1) the carcinogenic phase (i.e., increased cancer risk due to carcinogen exposure); (2) the PCDP (i.e., early-stage, presymptomatic cancer); and (3) the clinical phase (i.e., advanced-stage, symptomatic cancer). Cancers at the PCDP are the targets of screening, although not every type of cancer is amenable to detection by screening. The longer the PCDP (i.e., the time between cancer onset and clinical symptoms), the longer the lead time (i.e., the time between cancer detection and clinical symptoms); when a diagnosis is made by screening, prolonged survival (or cure) may be possible. The PCDPs of various cancers have been estimated in the work of Bray
The mean PCDP of gastric cancer is relatively short, about 1.4 years,14 which may explain why a 1- to 2-year screening interval is generally recommended for endoscopic surveillance in high risk groups. In fact, upper endoscopy is not an ideal mass-screening tool for gastric cancer as it is expensive, labor-intensive, and not without risk. In addition, the results are subject to interoperator variation so interval cancers18 (i.e., symptomatic cancer diagnosed during the interscreening interval) are not infrequent. By contrast, colorectal cancer, which has a PCDP of approximate 3 years, is suitable for biennial screening with the noninvasive fecal immunochemical testing, which also has the advantage of a high yield with positive tests.19
A number of cancers (Fig. 1B) have well-established risk factors such that elimination of, or protection from, these factors can prevent cancer development. Population-based vaccination against viruses that causes cervical cancer20 or liver cancer21 has been shown to be effective in reducing the subsequent cancer risk. In contrast,
The decision to eradicate
Reliable tests are available to diagnose
During screening, the PPV of a screening test is the key process indicator to support the effectiveness of a program.38 In a screen-and-treat strategy, the PPV is dependent on both the performance of
In a population with a
Highly effective antibiotic regimens are available for most populations. The success of antimicrobial therapy for a bacterial infection depends largely on the presence of susceptibility to the antibiotic or antibiotics and the adherence of the patients to the therapy. With a multiple-drug therapy, one only needs to know the antibiotic-resistance pattern and the eradication rates for each subgroup in relation to the antibiotics (e.g., susceptible to all, resistant to one antibiotic, etc).43 With these data, one can create a reliable model to estimate the treatment outcome with combination of a proton pump inhibitor, amoxicillin, clarithromycin, and metronidazole. The on-line calculator available at https://hp-therapy.biomed.org.tw/.44 In brief, for a regimen using amoxicillin, clarithromycin, and metronidazole, the treatment outcome can be predicted based on the summarized eradication rates according to the percentages of strains dual sensitive, single resistant, and dual resistant to clarithromycin and metronidazole, assuming that the amoxicillin resistance is a rare event, which can be summarized as:45 (% success with all-susceptible strains)×(proportion with all-susceptible infections)+(% success with clarithromycin-susceptible strains)×(proportion with clarithromycin-susceptible infections)+(% success with metronidazole-susceptible strains)×(proportion with metronidazole-susceptible infections)+(% success with dual resistant strains)×(proportion with dual resistant strains).
Based on this model, the reported outcomes of the two-antibiotic and three-antibiotic regimens can be predicted by the prevalence of antibiotic resistance in a given population (Table 3);44–58 the predicted values are indeed comparable to the observed ones. The results showed that triple therapy for 14 days may provide an incremental efficacy of about 8% as compared with 7 days’ regimen, while four-drug regimens for 14 days can provide an incremental efficacy of about 7% as compared with 14-day triple therapy.
An effective program will require effective therapies. For most populations, it is possible to identify two alternatives that are highly effective when given empirically. Patients can then be assigned to therapy using a checklist to identify those likely to fail (e.g., use of both clarithromycin and metronidazole in the past). As a general rule, the 14-day therapy provides the highest treatment success.45 The local patterns of antibiotic resistance in the general population should be collected before the implementation of a mass eradication program. In addition, special treatment centers would be needed to offer the susceptibility-based therapy for difficult-to-cure cases. In Taiwan, the regimens to be considered for most patients are triple therapy, concomitant therapy, and sequential therapy all for 14 days. Treatment failures and penicillin allergic patients would receive levofloxacin-based therapy, bismuth quadruple therapy, or susceptibility-based therapy. The considerations for primary therapy include cost, effectiveness, and side effects. Concomitant therapy will always be equal or superior to sequential therapy but has higher cost. Sequential therapy is also more complicated but this can be eliminated by prepackaged drugs.
After standardization of screening tests and antibiotic treatments, the next step is to design an organized program for implementation. The term “organized” indicates that in a screening program, it is essential to let everyone have an equal opportunity to participate and to ensure that if a screening test result is abnormal, each subject can receive correct, standardized diagnostic testing and treatment.59 The process may include protocols to define and invite the target populations, to refer those who tested positive to receive standard treatment, to audit the quality of screening, and to assess patient adherence to treatment and side effects related to treatment.
When the decision has been made to start eradication, the considerations may include whether to originally target the entire population, to target high risk populations, or to prevent new cases.
However, in the real-world setting, an ideal design may be constrained by limitations in the framework for the delivery of screening tests or the system for providing treatment. For example, in Matsu Island,10 the residents had a high prevalence of
A cancer-screening program can easily fail without adequate participation. The relationship of adherence and effectiveness of a program can be expressed as follows:
Effectiveness of a program=efficacy of antibiotic treatment×adherence
Lower adherence will result in lower effectiveness of the screening program in preventing gastric cancer even when the intervention is highly efficacious. In both programs in Taiwan, potential participants were contacted either by telephone or with a pamphlet sent by mail, inviting them to participate in screening. Furthermore, as is the case with most cancer prevention programs, advertising and educational materials are helpful (an example available at http://epaper.ntuh.gov.tw/health/201208/special_1_1.html). Such materials may improve participation by illustrating the purpose of screening and describing the follow-up diagnostics when screening tests show positive results.
To ensure the quality of an organized screening program, it is mandatory to check whether the guidelines are being followed and that the results of the screening program are being regularly reported and evaluated. To reach this goal, a series of consensus meetings should be held to develop the treatment guidelines. Educational programs should be provided to both primary care physicians and first-line healthcare workers before implementation. After implementation, standardized quality indicators should be audited periodically to ensure the quality of screening.38 In the first round in the Chunghua program,11 among 3,621 tested subjects, the return rate of fecal samples was 95.4%, the positivity rate of SAT was 36.2%, and the referral rate for antibiotic treatment of those who tested positive was approximate 70%. The eradication rate of first-line therapy was approximate 88%. Among the 643 subjects also undergoing upper endoscopy, the PPV of SAT positivity (i.e., number with lesions/total number of diagnostic endoscopies) for gastrointestinal tract lesions was 31.9% and the detection rate was 5.9% (i.e., number with lesions/tested population). These indicator variables were periodically checked for outliers among the 26 townships.
The optimal regimen for treating the asymptomatic population within the community remains unclear. Previous studies evaluating the efficacy of
In the two prevention programs in Taiwan, first-line triple therapies consistently showed an eradication rate of approximate 88%, given the antibiotic-resistance rates of approximately 1%, 8.2%, 3.8%, 21.6%, and 0.3% for amoxicillin, clarithromycin, levofloxacin, metronidazole, and tetracycline, respectively.7 In many areas that results might be considered sufficient for treatment of the population. However, in Taiwan a retest-and-retreat practice was utilized to improve the overall eradication and minimize the possible spread of antibiotic-resistant strains.7,10,42 The second-line treatment, utilized a levofloxacin-containing triple therapy for 10 days that provides an approximately 80% eradication rate resulting in an overall eradication rate of approximately 98% after two courses of treatments. For those who did not respond to the two courses of treatment (2/100), a tailored rescue regimen was designed on the basis of drug susceptibility testing.60 For a country-wide test-and-treat strategy, it would be important to examine the cost effectiveness of regimens with a higher initial yield such as concomitant therapy for initial therapy and 14-day levofloxacin triple therapy for treatment failures provided that 100% eradication was shown to be a cost effective goal.
In addition to antibiotic resistance of
The reinfection rate of
In order to ensure continuous support from policy-makers/stakeholders, evaluation of outcomes is necessary. In such an evaluation, the goals should be clearly defined, and data gathering and analysis should be performed in a timely manner. The outcomes may be categorized into the short-term end-points (e.g., surrogate outcome with premalignant gastric lesions), long-term end-points (e.g., gastric cancer incidence and mortality rate), cost-effectiveness analysis, and potential adverse effects.
In Matsu Island, the screening program applied a quasi-experimental, before-and-after study design, designating the whole population of Taiwan as an external comparator group.10 The main outcome measure was the impact of mass eradication on the changes of premalignant gastric lesions and gastric cancer, which was obtained by comparing data from the pre- and posteradication program eras in the same population. The results showed that the effectiveness of reducing the incidence of gastric atrophy and peptic ulcer was significant at 77.2% and 67.4%, respectively; the reduction in incidence of gastric cancer was 25% although it was not statistically significant. To date, there are four rounds of mass eradication implemented in this population in 2004, 2008, 2012, and 2014, and the prevalence of
In Changhua County, following the design of Matsu Gastric Cancer Prevention program, a pilot study was implemented in 2012. Among 7,463 participants during a 2-year period, the positivity rate of SAT was 34.4% with a referral rate of approximate 75%. Among the referrals, antibiotic treatment was prescribed to 99%, and five gastric cancers were found.7 Using the pilot study as a model, a randomized controlled study was launched in 2014 with inclusion of 10,000 subjects per year in each arm, and primary end-points of incident gastric cancer and death.
Not every proposed strategy can be realized at the population level, even though there is incontrovertible evidence to support the effectiveness of the strategy. The greatest impediment to widespread implementation is the fact that the proposed strategy may be costly, thus reducing its competitiveness with other health priorities. To address this problem, it requires cost-effectiveness analyses (CEA).62
In the CEA, the first step is to create a model to simulate the natural history of the disease in the absence of screening, in which the parameters are generated from empirical studies of the specific population. The second step is to compare the natural course model (i.e., null hypothesis) with active screening (i.e., alternative hypothesis); taken together, these models constitute a decision model. Third, by inputting both the effectiveness and cost data into the decision model, the ratio of change in cost to the change in effect can be calculated (i.e., the incremental cost-effectiveness ratio [ICER]) between different strategies. We can also make a projection of the long-term outcome (i.e., Markov model) without the requirements of a large sample size and long-term follow-up, and without ethical issues that may hinder the performance of an RCT. Fourth, by specifying distributions for all relevant parameters, the uncertainty in this model can be presented as an acceptability curve, which can provide the probability of each intervention being cost-effective according to different levels of the maximal willingness to pay (WTP) for a specific outcome. The final step involves varying the input of a parameter in the model by a given amount and examining whether the model’s results will change (i.e., the sensitivity analysis). From the public health perspective, a one-size-fits-all intervention may not be optimal, and the purpose of a sensitivity analysis is to inspect whether a fine-adjustment of strategy is needed to make the screening program work well on the population level, which is, in fact, composed of diverse subpopulations.
In Taiwan, the CEA has been adopted in the evaluation of costs in curing
With regards to the prevention of gastric cancer, cost-effectiveness of the screen-and-treat strategy has been evaluated on a global scale (Table 4).63–72 When compared with no screen, this strategy was generally considered to be cost-effective, and there was a trend towards recommending a younger age for initiation of screening. Among the various subpopulations to be considered are those at risk of transmission to children (an elimination of transmission subgroup), those with nonatrophic gastritis (almost complete prevention of gastric cancer subgroup), and those with atrophic gastritis (a reduction in gastric cancer subgroup). Each may require a different strategy.
It deserves mention that all studies may have underestimated the relative cost-effectiveness of mass eradication because the benefit of reducing dyspepsia and peptic ulcers and transmission was not take into consideration.73 In Taiwan, the economic evaluation has been performed for the high-risk population residing on Matsu Island, comparing the screen-and-treat for
Some studies have suggested that the widespread eradication of
In Taiwan, the prevalence of endoscopic esophagitis was found to increase following mass eradication in Matsu Island population, an area where atrophic gastritis is highly prevalent.10 The presumed mechanism may be related to the regeneration of gastric glands after the elimination of
After the mass eradication program, proper allocation of endoscopic resources is an important issue. The purpose of endoscopic screening is to find gastric cancer during the PCDP when curative treatment may be possible; however, although
To evaluate the effect of
It is likely that most studies will be stopped prematurely as they were based on the concept that it was necessary to prove that
Awareness that gastric cancer is an infection-associated disease has been increasing worldwide, and gastric cancer, once a dreaded disease for which endoscopy provided the only hope of early detection, is gradually becoming a preventable disease through a short-course antibiotic treatment. In the past 30 years, compelling progress in the development of non-invasive tests to identify active infection, the ability to culture
GCA, gastric cancer; s/p, status post.
Table 1 Predicted Burden of Gastric Cancer, 2012–2030
Year | Demographic effect | Demographic effect with −2.0% APC |
---|---|---|
2012 | 0.95 | 0.95 |
2015 | 1.03 | 0.97 |
2020 | 1.17 | 1.00 |
2025 | 1.34 | 1.03 |
2030 | 1.52 | 1.06 |
APC, annual percentage change.
Adapted from IARC
Table 2 Benefit of
Benefit of | Evidence level |
---|---|
Gastric cancer | Ic |
Peptic ulcer disease | Ia |
MALT lymphoma | 1a |
Functional dyspepsia | Ia |
Atrophic gastritis | 1a |
Vitamin B12 deficiency | 3b |
Iron deficiency anemia | 1a |
Idiopathic thrombocytopenic purpura | 1b |
The system for evidence levels: 1a: systematic review of randomized controlled trials (RCTs) with homogeneity; 1b: individual RCT with narrow confidence interval; 1c: individual RCT with risk of bias; 2a: systematic review of cohort studies with homogeneity; 2b: individual cohort study; 2c: noncontrolled cohort studies/ecological studies; 3a: systematic review of case-control studies with homogeneity; 3b: individual case-control study; 4: case-series; 5: expert opinion. Adapted from Malfertheiner P,
MALT, mucosa associated lymphoid tissue.
Table 3 Estimation of the Efficacy of Triple Therapy and Sequential Therapy in the First-Line Treatment of
Author (year), area | Regimen, day | Prevalence of clarithromycin resistance | Prevalence of metronidazole resistance | Observed efficacy | Expected efficacy |
---|---|---|---|---|---|
Zullo | Triple therapy, 7 | 4.4 (6/137) | 27 (37/137) | 77 | 88 |
Sequential therapy, 10 | 6.7 (9/135) | 26.7 (36/135) | 95 | 89.1 | |
Sequential therapy, 14 | - | - | - | 93.4 | |
Romano | Triple therapy, 7 | 12.5 (8/75) | 22.5 (16/75) | 79.4 | 84.8 |
Sequential therapy, 10 | - | - | - | 87.9 | |
Sequential therapy, 14 | - | - | - | 91.7 | |
Vaira | Triple therapy, 10 | 18.8 (21/112) | 19.6 (22/112) | 79 | 82.3 |
Sequential therapy, 10 | 7.3 (9/123) | 28.5 (35/123) | 93 | 88.6 | |
Sequential therapy, 14 | - | - | - | 93.1 | |
Demir | Triple therapy, 14 | 64.3 (36/56) | - | 42.9 | 65.2 |
Triple therapy, 14 | 35.7 (20/58) | - | 79.3 | 76 | |
Sequential therapy, 10 | - | - | - | 80.7 | |
Sequential therapy, 14 | - | - | - | 83.4 | |
Romano | Triple therapy, 14 | - | - | - | 81.3 |
Sequential therapy, 10 | 21.8 (12/55) | 25.5 (14/55) | 82.8 | 84.7 | |
Sequential therapy, 14 | - | - | - | 88.2 | |
Wu | Triple therapy, 14 | - | - | - | 87.5 |
Sequential therapy, 10 | 6.6 (11/167) | 33.5 (56/167) | 93.1 | 88 | |
Sequential therapy, 14 | - | - | - | 93 | |
Sirimontaporn | Triple therapy, 14 | - | - | - | 87.2 |
Sequential therapy, 10 | 6.1 (7/114) | - | 92.2 | 89.6 | |
Sequential therapy, 14 | - | - | - | 93.8 | |
Yakoob | Triple therapy, 14 | 33.3 (30/92) | 48 (44/92) | 67 | 77.7 |
Sequential therapy, 10 | - | - | - | 78.8 | |
Sequential therapy, 14 | - | - | - | 82.9 | |
Hsu | Triple therapy, 14 | - | - | - | 87.7 |
Sequential therapy, 10 | - | - | - | 87.9 | |
Sequential therapy, 14 | 6.1 (4/66) | 34.8 (23/66) | 93.9 | 93.1 | |
Malfertheiner | Triple therapy, 7 | 19.1 (25/131) | 31.3 (41/131) | 70 | 82.6 |
Sequential therapy, 10 | - | - | - | 84.7 | |
Sequential therapy, 14 | - | - | - | 88.9 | |
Mahachai | Triple therapy, 14 | - | - | - | 85.3 |
Sequential therapy, 10 | 11.3 (17/151) | - | 94 | 88 | |
Sequential therapy, 14 | - | - | - | 92 | |
Liou | Triple therapy, 14 | 11.5 (21/183) | 26.2 (48/183) | 87.1 | 85.9 |
Sequential therapy, 10 | 9.4 (18/192) | 24.0 (46/192) | 90.5 | 88.6 | |
Sequential therapy, 14 | 9.4 (16/177) | 22.0 (39/177) | 94.4 | 92.6 | |
Molina-Infante | Hybrid therapy, 14 | 23.5 (16/68) | 33.8 (23/68) | 92 | 88.2 |
Concomitant therapy, 14 | 23.5 (16/68) | 33.8 (23/68) | 96.1 | 88.2 |
Data are presented as percentage (number/total number). All efficacy estimates for anti-
Table 4 Cost-Effectiveness Analyses to Estimate the Applicability of Screen-and-Treat for
Author (year) | Location | Study design | Strategy | ICER for strategy 2 vs 1, (cost per life year saved or QALY) | Starting age for screening, yr |
---|---|---|---|---|---|
Parsonnet | US | Literature review | (1) No screen or (2) the serology test | $25,000 USD | 50–70 |
Fendrick | US | Literature review | (1) No screen, (2) the serology test, or (3) test, treat, re-test, and/or re-treat | $6,264 USD | 40 |
Harris | US, abroad | Literature review | (1) No screen, (2) the serology test for all | $23,900 USD | 50 |
Mason | UK | Randomized control trial (n=2,329) | (1) No screen or (2) 13C-UBT | £14,200 | 40–49 |
Roderick | UK | Literature review | (1) Opportunistic | £5,866 | 40 |
Wang | China | Literature review | (1) No screen or (2) the serology test | ¥1,374 | 30–40 |
Lee | Taiwan | Prospective cohort study (n=5,000) | (1) No screen, (2) 13C-UBT, or (3) the pepsinogen test | $17,044 USD | 30 |
Xie | Singapore Chinese population | Literature review | (1) No screening, (2) the serology test screening, or (3) the 13C-UBT | $25,881 USD QALY | 40 |
Xie | Canadian male | Literature review | (1) No screening, (2) the serology test, (3) the SAT, or (4) the 13C-UBT | $33,000 USD QALY | 35 |
Yeh | China | Literature review | (1) No screening or (2) the serology test | $1,340 USD | 20 |
ICER, incremental cost-effectiveness ratio; QALY, quality-adjusted life-year; USD, US dollar; UBT, urea breath test; SAT, stool antigen test.