Evidence map›Paper›PMID 25779597›Full record

ArticleGut2016

Gastric adenocarcinoma screening and prevention in the era of new biomarker and endoscopic technologies: a cost-effectiveness analysis.

Jennifer M Yeh, Chin Hur, Zachary Ward, Deborah Schrag, Sue J Goldie

Open access · greenAbstract read
In one paragraph

Article in Gut, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
53citing papers in PubMed, 4 pooled it
9.1field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

53 citing papers in PubMed, 4 syntheses or guidelines pooled it, 101 citations in OpenAlex.

  1. Pooled it
  2. Guideline
  3. Simulation Models in Gastric Cancer Screening: A Systematic ReviewAsian Pacific journal of cancer prevention : APJCP · 2018
    Pooled it
  4. Pooled it
  5. Review
  6. The Cost-Effectiveness of Gastric Cancer Screening and Surveillance Among Average-Risk and Risk-Stratified Populations.Clinical gastroenterology and hepatology : the official clinical practice journal of the American Gastroenterological Association · 2026
    Article
  7. Article
  8. Article
  9. Article
  10. Journal of the National Cancer Center · 2024
    Review
  11. Review
  12. Review
  13. Racial disparities of gastric cancer in the USA: an overview of epidemiology, global screening guidelines, and targeted screening in a heterogeneous population.Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association · 2024
    Review
  14. Review
  15. Risk Prediction Models for Gastric Cancer: A Scoping Review.Journal of multidisciplinary healthcare · 2024
    Article
  16. Article
  17. Article
  18. Review
  19. Review
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 1 country.

Jennifer M YehCenter for Health Decision Science, Harvard T. H. Chan School of Public Health, Boston, Massachusetts, USA.
Chin HurMassachusetts General Hospital Institute for Technology Assessment, Boston, Massachusetts, USA.
Zachary WardCenter for Health Decision Science, Harvard T. H. Chan School of Public Health, Boston, Massachusetts, USA.
Deborah SchragDana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts, USA.
Sue J GoldieCenter for Health Decision Science, Harvard T. H. Chan School of Public Health, Boston, Massachusetts, USA.
Dana-Farber Cancer Institute · USMassachusetts General Hospital · US

Funding

Gastric Cancer Prevention: Evaluating U.S. Risk Factor Trends and New TechnologyK07CA143044 · NCI · HARVARD SCHOOL OF PUBLIC HEALTH · PI YEH, JENNIFER M. · 2010 to 2014
$751k
NCI NIH HHS K07 CA143044NCI NIH HHS K07CA143044
6 · The paper itself

Abstract

objectiveTo estimate the cost-effectiveness of noncardia gastric adenocarcinoma (NCGA) screening strategies based on new biomarker and endoscopic technologies.

designUsing an intestinal-type NCGA microsimulation model, we evaluated the following one-time screening strategies for US men: (1) serum pepsinogen to detect gastric atrophy (with endoscopic follow-up of positive screen results), (2) endoscopic screening to detect dysplasia and asymptomatic cancer (with endoscopic mucosal resection (EMR) treatment for detected lesions) and (3) Helicobacter pylori screening and treatment. Screening performance, treatment effectiveness, cancer and cost data were based on published literature and databases. Subgroups included current, former and never smokers. Outcomes included lifetime cancer risk and incremental cost-effectiveness ratios (ICERs), expressed as cost per quality-adjusted-life-year (QALY) gained.

resultsScreening the general population at age 50 years reduced the lifetime intestinal-type NCGA risk (0.24%) by 26.4% with serum pepsinogen screening, 21.2% with endoscopy and EMR and 0.2% with H. pylori screening/treatment. Targeting current smokers reduced the lifetime risk (0.35%) by 30.8%, 25.5%, and 0.1%, respectively. For all subgroups, serum pepsinogen screening was more effective and more cost-effective than all other strategies, although its ICER varied from $76,000/QALY (current smokers) to $105,400/QALY (general population). Results were sensitive to H. pylori prevalence, screen age and serum pepsinogen test sensitivity. Probabilistic sensitivity analysis found that at a $100,000/QALY willingness-to-pay threshold, the probability that serum pepsinogen screening was preferred was 0.97 for current smokers.

conclusionsAlthough not warranted for the general population, targeting high-risk smokers for serum pepsinogen screening may be a cost-effective strategy to reduce intestinal-type NCGA mortality.

Indexed as

AdenocarcinomaAdultBiomarkers, TumorCost-Benefit AnalysisGastroscopyHelicobacter InfectionsHelicobacter pyloriHumansIncidenceMaleMass ScreeningMiddle AgedPepsinogen AQuality-Adjusted Life YearsSmokingStomach NeoplasmsBiomarkers, TumorPepsinogen ACOST-EFFECTIVENESSDECISION ANALYSISGASTRIC CANCERHELICOBACTER PYLORISCREENING

Identifiers

PMID25779597
PMCPMC4573370
OpenAlexW1989737381

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.