Evidence map›Paper›PMID 25935635›Full record

ArticleGastroenterology2015

An Accurate Cancer Incidence in Barrett's Esophagus: A Best Estimate Using Published Data and Modeling.

Sonja Kroep, Iris Lansdorp-Vogelaar, Joel H Rubenstein, Harry J de Koning, Reinier Meester, John M Inadomi, Marjolein van Ballegooijen

Abstract read
In one paragraph

Article in Gastroenterology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 2 pooled it
–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

22 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Guideline
  2. Pooled it
  3. Article
  4. 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
  5. Article
  6. High rate of missed Barrett's esophagus when screening with forceps biopsies.Esophagus : official journal of the Japan Esophageal Society · 2023
    Article
  7. Article
  8. Article
  9. Review
  10. Review
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Review
  17. Article
  18. Article
  19. Article
  20. Barretts's carcinogenesis.Pathology international · 2019
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Sonja KroepDepartment of Public Health, Erasmus Medical Center University, Rotterdam, The Netherlands. Electronic address: s.kroep@erasmusmc.nl.
Iris Lansdorp-VogelaarDepartment of Public Health, Erasmus Medical Center University, Rotterdam, The Netherlands.
Joel H RubensteinDivision of Gastroenterology, University of Michigan, Ann Arbor, Michigan.
Harry J de KoningDepartment of Public Health, Erasmus Medical Center University, Rotterdam, The Netherlands.
Reinier MeesterDepartment of Public Health, Erasmus Medical Center University, Rotterdam, The Netherlands.
John M InadomiDivision of Gastroenterology, Department of Medicine, University of Washington, Seattle, Washington.
Marjolein van BallegooijenDepartment of Public Health, Erasmus Medical Center University, Rotterdam, The Netherlands.

Funding

Controlling Esophageal Cancer in the US.: A Colloraborative Modeling ProjectU01CA152926 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI HUR, CHIN, INADOMI, JOHN MATTHEW · 2010 to 2014
$3.9M
Improving Gastrointestinal Disease Outcomes in Vulnerable PopulationsK24DK080941 · NIDDK · UNIVERSITY OF WASHINGTON · PI INADOMI, JOHN MATTHEW · 2008 to 2019
$1.8M
NCI NIH HHS U01 CA152926NIDDK NIH HHS K24 DK080941
6 · The paper itself

Abstract

BACKGROUND &

aimsPublished estimates for the rate of progression from Barrett's esophagus (BE) to esophageal adenocarcinoma (EAC) vary. We used simulation modeling to reconcile published data and more accurately estimate the incidence of EAC among people with BE.

methodsWe calibrated the ERASMUS/UW model (a collaboration between Erasmus Medical Center, Rotterdam, the Netherlands and the University of Washington, Seattle) for EAC to match the 0.18% annual rate of progression from population-based studies. This model was then used to simulate the design of prospective studies, introducing more endoscopic surveillance. We used the model to predict rates of progression for both types of studies and for different periods of follow-up, and compared the predicted rates with published data.

resultsFor the first 5 years of follow-up, the model reproduced the 0.19% mean annual rate of progression observed in population-based studies; the same disease model predicted a 0.36% annual rate of progression in studies with a prospective design (0.41% reported in published articles). After 20 years, these rates each increased to 0.63% to 0.65% annually, corresponding with a 9.1% to 9.5% cumulative cancer incidence. Between these periods, the difference between the progression rates of both study designs decreased from 91% to 5%.

conclusionsIn the first 5 years after diagnosis, the rate of progression from BE to EAC is likely to more closely approximate the lower estimates reported from population-based studies than the higher estimates reported from prospective studies in which EAC is detected by surveillance. Clinicians should use this information to explain to patients their short-term and long-term risks if no action is taken, and then discuss the risks and benefits of surveillance.

Indexed as

Computer SimulationModels, TheoreticalAdenocarcinomaBarrett EsophagusDisease ProgressionEsophageal NeoplasmsFalse Positive ReactionsHumansIncidencePredictive Value of TestsRisk AssessmentRisk FactorsTime FactorsEarly DetectionEsophageal CancerMicrosimulationPopulation-Based Modeling

Identifiers

PMID25935635
PMCPMC4550489

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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.