Evidence map›Paper›PMID 26746432›Full record

ArticleMedical decision making : an international journal of the Society for Medical Decision Making2016

Validation of Models Used to Inform Colorectal Cancer Screening Guidelines: Accuracy and Implications.

Carolyn M Rutter, Amy B Knudsen, Tracey L Marsh, V Paul Doria-Rose, Eric Johnson, Chester Pabiniak, Karen M Kuntz, Marjolein van Ballegooijen, Ann G Zauber, Iris Lansdorp-Vogelaar

Abstract readValidation Study
In one paragraph

Article in Medical decision making : an international journal of the Society for Medical Decision Making, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing 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

38 citing papers in PubMed.

  1. Validation of Colorectal Cancer Models on Long-term Outcomes from a Randomized Controlled Trial.Medical decision making : an international journal of the Society for Medical Decision Making · 2020
    Trial
  2. Modeling in Colorectal Cancer Screening: Assessing External and Predictive Validity of MISCAN-Colon Microsimulation Model Using NORCCAP Trial Results.Medical decision making : an international journal of the Society for Medical Decision Making · 2018
    Trial
  3. Trial
  4. Article
  5. Article
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  7. Benefits, Harms, and Burden of Colorectal Cancer Screening Among Childhood Cancer Survivors Previously Treated With Abdominopelvic Radiation.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2026
    Article
  8. Article
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  11. Calibration and Validation of the Colorectal Cancer and Adenoma Incidence and Mortality (CRC-AIM) Microsimulation Model Using Deep Neural Networks.Medical decision making : an international journal of the Society for Medical Decision Making · 2023
    Article
  12. Review
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  18. Harms and Benefits of Cancer Screening.Recent results in cancer research. Fortschritte der Krebsforschung. Progres dans les recherches sur le cancer · 2021
    Article
  19. Article
  20. 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

10 authors.

Carolyn M RutterRAND Corporation, Santa Monica, CA, USA (CMR)
Amy B KnudsenInstitute for Technology Assessment, Massachusetts General Hospital, Boston, MA, USA (ABK)
Tracey L MarshDepartment of Biostatistics, University of Washington, Seattle, WA, USA (TLM)
V Paul Doria-RoseNational Cancer Institute, Health Systems & Intervention Research Branch, Bethesda, MD, USA (VPD)
Eric JohnsonGroup Health Research Institute, Seattle, WA, USA (EJ, CP)
Chester PabiniakGroup Health Research Institute, Seattle, WA, USA (EJ, CP)
Karen M KuntzDepartment of Health Policy and Management, School of Public Health, University of Minnesota, Minneapolis, MN, USA (KMK)
Marjolein van BallegooijenDepartment of Public Health, Erasmus MC, Rotterdam, Netherlands (MVB, IL)
Ann G ZauberDepartment of Epidemiology and Biostatistics, Memorial Sloan-Kettering Cancer Center, New York, NY, USA (AGZ)
Iris Lansdorp-VogelaarDepartment of Public Health, Erasmus MC, Rotterdam, Netherlands (MVB, IL)

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Hongbiao Carl Lekaye · 1985 to 2026
$347.4M
Comparative Modeling of Colorectal Cancer: Informing Health Policies and Prioritizing Future ResearchU01CA199335 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI KUNTZ, KAREN M, LANSDORP-VOGELAAR, IRIS · 2015 to 2019
$5.5M
Modeling Effective Health Policies for Colorectal CancerU01CA152959 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI KUNTZ, KAREN M, LANSDORP-VOGELAAR, IRIS · 2010 to 2014
$5.4M
NCI NIH HHS P30 CA008748NCI NIH HHS U01 CA152959NCI NIH HHS U01 CA199335
6 · The paper itself

Abstract

backgroundMicrosimulation models synthesize evidence about disease processes and interventions, providing a method for predicting long-term benefits and harms of prevention, screening, and treatment strategies. Because models often require assumptions about unobservable processes, assessing a model's predictive accuracy is important.

methodsWe validated 3 colorectal cancer (CRC) microsimulation models against outcomes from the United Kingdom Flexible Sigmoidoscopy Screening (UKFSS) Trial, a randomized controlled trial that examined the effectiveness of one-time flexible sigmoidoscopy screening to reduce CRC mortality. The models incorporate different assumptions about the time from adenoma initiation to development of preclinical and symptomatic CRC. Analyses compare model predictions to study estimates across a range of outcomes to provide insight into the accuracy of model assumptions.

resultsAll 3 models accurately predicted the relative reduction in CRC mortality 10 years after screening (predicted hazard ratios, with 95% percentile intervals: 0.56 [0.44, 0.71], 0.63 [0.51, 0.75], 0.68 [0.53, 0.83]; estimated with 95% confidence interval: 0.56 [0.45, 0.69]). Two models with longer average preclinical duration accurately predicted the relative reduction in 10-year CRC incidence. Two models with longer mean sojourn time accurately predicted the number of screen-detected cancers. All 3 models predicted too many proximal adenomas among patients referred to colonoscopy.

conclusionModel accuracy can only be established through external validation. Analyses such as these are therefore essential for any decision model. Results supported the assumptions that the average time from adenoma initiation to development of preclinical cancer is long (up to 25 years), and mean sojourn time is close to 4 years, suggesting the window for early detection and intervention by screening is relatively long. Variation in dwell time remains uncertain and could have important clinical and policy implications.

Indexed as

Informed ConsentModels, TheoreticalPractice Guidelines as TopicColorectal NeoplasmsHumansMass ScreeningUnited Kingdomcolorectal cancerdiscrete event simulationgastroenterologypreventive medicinesimulation methods

Identifiers

PMID26746432
PMCPMC5009464

What OpenQuestion holds

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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.