Literature DB >> 33078673

Validation of Colorectal Cancer Models on Long-term Outcomes from a Randomized Controlled Trial.

Maria DeYoreo1, Iris Lansdorp-Vogelaar2, Amy B Knudsen3, Karen M Kuntz4, Ann G Zauber5, Carolyn M Rutter1.   

Abstract

Microsimulation models are often used to predict long-term outcomes and guide policy decisions regarding cancer screening. The United Kingdom Flexible Sigmoidoscopy Screening (UKFSS) Trial examines a one-time intervention of flexible sigmoidoscopy that was implemented before a colorectal cancer (CRC) screening program was established. Long-term study outcomes, now a full 17 y following randomization, have been published. We use the outcomes from this trial to validate 3 microsimulation models for CRC to long-term study outcomes. We find that 2 of 3 models accurately predict the relative effect of screening (the hazard ratios) on CRC-specific incidence 17 y after screening. We find that all 3 models yield predictions of the relative effect of screening on CRC incidence and mortality (i.e., the hazard ratios) that are reasonably close to the UKFSS results. Two of the 3 models accurately predict the relative reduction in CRC incidence 17 y after screening. One model accurately predicted the absolute incidence and mortality rates in the screened group. The models differ in their estimates related to adenoma detection at screening. Although high-quality screening results help to inform models, trials are expensive, last many years, and can be complicated by ethical issues and technological changes across the duration of the trial. Thus, well-calibrated and validated models are necessary to predict outcomes for which data are not available. The results from this validation demonstrate the utility of models in predicting long-term outcomes and in collaborative modeling to account for uncertainty.

Entities:  

Keywords:  colorectal cancer; colorectal cancer screening; microsimulation model; model validation

Mesh:

Year:  2020        PMID: 33078673      PMCID: PMC7665984          DOI: 10.1177/0272989X20961095

Source DB:  PubMed          Journal:  Med Decis Making        ISSN: 0272-989X            Impact factor:   2.583


  17 in total

1.  The MISCAN-COLON simulation model for the evaluation of colorectal cancer screening.

Authors:  F Loeve; R Boer; G J van Oortmarssen; M van Ballegooijen; J D Habbema
Journal:  Comput Biomed Res       Date:  1999-02

2.  Once-only flexible sigmoidoscopy screening in prevention of colorectal cancer: a multicentre randomised controlled trial.

Authors:  Wendy S Atkin; Rob Edwards; Ines Kralj-Hans; Kate Wooldrage; Andrew R Hart; John M A Northover; D Max Parkin; Jane Wardle; Stephen W Duffy; Jack Cuzick
Journal:  Lancet       Date:  2010-04-27       Impact factor: 79.321

3.  Time trend analysis of primary tumor resection for stage IV colorectal cancer: less surgery, improved survival.

Authors:  Chung-Yuan Hu; Christina E Bailey; Y Nancy You; John M Skibber; Miguel A Rodriguez-Bigas; Barry W Feig; George J Chang
Journal:  JAMA Surg       Date:  2015-03-01       Impact factor: 14.766

4.  Estimation of Benefits, Burden, and Harms of Colorectal Cancer Screening Strategies: Modeling Study for the US Preventive Services Task Force.

Authors:  Amy B Knudsen; Ann G Zauber; Carolyn M Rutter; Steffie K Naber; V Paul Doria-Rose; Chester Pabiniak; Colden Johanson; Sara E Fischer; Iris Lansdorp-Vogelaar; Karen M Kuntz
Journal:  JAMA       Date:  2016-06-21       Impact factor: 56.272

Review 5.  Screening for Colorectal Cancer: Updated Evidence Report and Systematic Review for the US Preventive Services Task Force.

Authors:  Jennifer S Lin; Margaret A Piper; Leslie A Perdue; Carolyn M Rutter; Elizabeth M Webber; Elizabeth O'Connor; Ning Smith; Evelyn P Whitlock
Journal:  JAMA       Date:  2016-06-21       Impact factor: 56.272

6.  Evaluating test strategies for colorectal cancer screening: a decision analysis for the U.S. Preventive Services Task Force.

Authors:  Ann G Zauber; Iris Lansdorp-Vogelaar; Amy B Knudsen; Janneke Wilschut; Marjolein van Ballegooijen; Karen M Kuntz
Journal:  Ann Intern Med       Date:  2008-10-06       Impact factor: 25.391

7.  Limitations of basing screening policies on screening trials: The US Preventive Services Task Force and Prostate Cancer Screening.

Authors:  Ruth Etzioni; Roman Gulati; Matt R Cooperberg; David M Penson; Noel S Weiss; Ian M Thompson
Journal:  Med Care       Date:  2013-04       Impact factor: 2.983

8.  Should colorectal cancer screening be considered in elderly persons without previous screening? A cost-effectiveness analysis.

Authors:  Frank van Hees; J Dik F Habbema; Reinier G Meester; Iris Lansdorp-Vogelaar; Marjolein van Ballegooijen; Ann G Zauber
Journal:  Ann Intern Med       Date:  2014-06-03       Impact factor: 25.391

9.  Single flexible sigmoidoscopy screening to prevent colorectal cancer: baseline findings of a UK multicentre randomised trial.

Authors:  W S Atkin; C F Cook; J Cuzick; R Edwards; J M A Northover; J Wardle
Journal:  Lancet       Date:  2002-04-13       Impact factor: 79.321

10.  Trends in Overall Survival and Treatment Patterns in Two Large Population-Based Cohorts of Patients with Breast and Colorectal Cancer.

Authors:  Doris van Abbema; Pauline Vissers; Judith de Vos-Geelen; Valery Lemmens; Maryska Janssen-Heijnen; Vivianne Tjan-Heijnen
Journal:  Cancers (Basel)       Date:  2019-08-23       Impact factor: 6.639

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  2 in total

1.  Too Good to Be True? Evaluation of Colonoscopy Sensitivity Assumptions Used in Policy Models.

Authors:  Carolyn M Rutter; Pedro Nascimento de Lima; Jeffrey K Lee; Jonathan Ozik
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2022-04-01       Impact factor: 4.090

2.  An Evolutionary Algorithm to Personalize Stool-Based Colorectal Cancer Screening.

Authors:  Luuk A van Duuren; Jonathan Ozik; Remy Spliet; Nicholson T Collier; Iris Lansdorp-Vogelaar; Reinier G S Meester
Journal:  Front Physiol       Date:  2022-01-26       Impact factor: 4.755

  2 in total

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