Evidence map›Paper›PMID 20208996›Full record

ArticlePloS one2010

Development, calibration, and validation of a U.S. white male population-based simulation model of esophageal adenocarcinoma.

Chin Hur, Tristan J Hayeck, Jennifer M Yeh, Ethan M Richards, Ethan B Richards, Stuart J Spechler, G Scott Gazelle, Chung Yin Kong

Erratum issuedAbstract read
In one paragraph

Article in PloS one, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
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

14 citing papers in PubMed.

  1. A Scoping Review on Calibration Methods for Cancer Simulation Models.Medical decision making : an international journal of the Society for Medical Decision Making · 2025
    Article
  2. Review
  3. High rate of missed Barrett's esophagus when screening with forceps biopsies.Esophagus : official journal of the Japan Esophageal Society · 2023
    Article
  4. Utility and Cost-Effectiveness of a Nonendoscopic Approach to Barrett's Esophagus Surveillance After Endoscopic Therapy.Clinical gastroenterology and hepatology : the official clinical practice journal of the American Gastroenterological Association · 2022
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Exploring the recent trend in esophageal adenocarcinoma incidence and mortality using comparative simulation modeling.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2014
    Article
  11. Article
  12. Article
  13. The impact of obesity on the rise in esophageal adenocarcinoma incidence: estimates from a disease simulation model.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2011
    Article
  14. The prevalence of Barrett's esophagus in the US: estimates from a simulation model confirmed by SEER data.Diseases of the esophagus : official journal of the International Society for Diseases of the Esophagus · 2010
    Article
4 · The record

Corrections and comments

  • Erratum issued
    Richards, Ethan B [corrected to Richards, Ethan M]
5 · Who and what money

Authors and funding

8 authors.

Chin HurMassachusetts General Hospital Institute for Technology Assessment, Boston, Massachusetts, United States of America. chur@mgh-ita.org
Tristan J Hayeck
Jennifer M Yeh
Ethan M Richards
Ethan B Richards
Stuart J Spechler
G Scott Gazelle
Chung Yin Kong

Funding

Applications of Multi-Criteria Optimization (AMCO) to Cancer Simulation ModelingK25CA133141 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI KONG, CHUNG YIN · 2009 to 2013
$844k
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
The Prevention of Esophageal AdenocarcinomaK07CA107060 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI HUR, CHIN · 2005 to 2009
$701k
NCI NIH HHS CA107060NCI NIH HHS CA133141NCI NIH HHS K07 CA107060NCI NIH HHS K07 CA143044NCI NIH HHS K25 CA133141
6 · The paper itself

Abstract

backgroundThe incidence of esophageal adenocarcinoma (EAC) has risen rapidly in the U.S. and western world. The aim of the study was to begin the investigation of this rapid rise by developing, calibrating, and validating a mathematical disease simulation model of EAC using available epidemiologic data.

methodsThe model represents the natural history of EAC, including the essential biologic health states from normal mucosa to detected cancer. Progression rates between health states were estimated via calibration, which identified distinct parameter sets producing model outputs that fit epidemiologic data; specifically, the prevalence of pre-cancerous lesions and EAC cancer incidence from the published literature and Surveillance, Epidemiology, and End Results (SEER) data. As an illustrative example of a clinical and policy application, the calibrated and validated model retrospectively analyzed the potential benefit of an aspirin chemoprevention program.

resultsModel outcomes approximated calibration targets; results of the model's fit and validation are presented. Approximately 7,000 cases of EAC could have been prevented over a 30-year period if all white males started aspirin chemoprevention at age 40 in 1965.

conclusionsThe model serves as the foundation for future analyses to determine a cost-effective screening and management strategy to prevent EAC morbidity and mortality.

Indexed as

AdenocarcinomaAdultAlgorithmsAnticarcinogenic AgentsAspirinCalibrationCost-Benefit AnalysisDisease ProgressionEsophageal NeoplasmsHumansMaleMarkov ChainsModels, TheoreticalUnited StatesWhite PeopleAnticarcinogenic AgentsAspirin

Identifiers

PMID20208996
PMCPMC2830429

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.