2021
DOI: 10.1002/ijc.33437
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Effects of screening for colorectal cancer: Development, documentation and validation of a multistate Markov model

Abstract: Simulation models are a powerful tool to overcome gaps of evidence needed to inform medical decision‐making. Here, we present development and application of COSIMO, a Markov‐based Colorectal Cancer (CRC) Multi‐state Simulation Model to simulate effects of CRC screening, along with a thorough assessment of the model's ability to reproduce real‐life outcomes. Firstly, we provide a comprehensive documentation of COSIMO’s development, structure and assumptions. Secondly, to assess the model's external validity, we… Show more

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Cited by 18 publications
(28 citation statements)
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“…Specific strengths and limitations of COSIMO have been described previously ( 9 , 13 ). Briefly, a major strength of our model is the use of input parameters derived specifically from the German general population using the world's largest screening colonoscopy registry.…”
Section: Discussionmentioning
confidence: 99%
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“…Specific strengths and limitations of COSIMO have been described previously ( 9 , 13 ). Briefly, a major strength of our model is the use of input parameters derived specifically from the German general population using the world's largest screening colonoscopy registry.…”
Section: Discussionmentioning
confidence: 99%
“…Briefly, a major strength of our model is the use of input parameters derived specifically from the German general population using the world's largest screening colonoscopy registry. Furthermore, the model was subjected to a thorough assessment of its external validity and was found to adequately predict colorectal neoplasm prevalences and incidences in a German population, with estimated patterns of the effect of screening colonoscopy resembling those seen in the registry data and real-world studies ( 13 ). Major limitations concern model simplifying assumptions and uncertainties related to input parameters where evidence was limited, for instance regarding transition rates for age groups 50–54 years and 80+ years, true screening test performance characteristics in Germany, and potential differences between sexes in this respect.…”
Section: Discussionmentioning
confidence: 99%
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“…Differences in risk reduction estimates likely result from two factors. First, COSIMO was developed for the German screening-eligible population, 14 thereby reflecting correspondingly higher absolute lifetime CRC risks than, for instance, in the US population. 29,30 Higher absolute risks may imply greater benefits of screening, which is also mirrored in the larger absolute numbers of LYG in our study compared to modeling for the US population.…”
Section: Findings In Contextmentioning
confidence: 99%
“…For this study, we used the previously developed and validated Markov-based Co lorectal Cancer Multistate Si mulation Mo del (COSIMO) to simulate effects of screening for CRC in a hypothetical German population [8]. Briefly, COSIMO simulates the natural history of CRC based on the process of precursor lesions developing into preclinical and then clinical cancer in a hypothetical population for a predefined number of years.…”
Section: Methodsmentioning
confidence: 99%