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Comput Math Methods Med ; 2019: 2476565, 2019.
Article in English | MEDLINE | ID: mdl-30915155

ABSTRACT

INTRODUCTION: Colorectal cancer (CRC), if not detected early, can be costly and detrimental to one's health. Colonoscopy can identify CRC early as well as prevent the disease. The benefit of screening colonoscopy has been established, but the optimal frequency of follow-up colonoscopy is unknown and may vary based on findings from colonoscopy screening and patient age. METHODS: A partially observed Markov process (POMP) was used to simulate the effects of follow-up colonoscopy on the development of CRC. The POMP uses adenoma and CRC growth models to calculate the probability of a patient having colorectal adenomas and CRC. Then, based on mortality, quality of life, and the costs associated with diagnosis, treatment, and surveillance of colorectal cancer, the overall costs and increase in quality-adjusted life years (QALYs) are calculated for follow-up colonoscopy scenarios. RESULTS: At the $100,000/QALY gained threshold, only one follow-up colonoscopy is cost-effective only after screening at age 50 years. The optimal follow-up is 8.5 years, which gives 84.0 QALYs gained/10,000 persons. No follow-up colonoscopy was cost-effective at the $50,000 and $75,000/QALY gained thresholds. The intervals were insensitive to the findings at screening colonoscopy. CONCLUSION: Follow-up colonoscopy is cost-effective following screening at age 50 years but not if screening occurs later. Following screening at age 50 years, the optimal follow-up interval is close to the currently recommended 10 years for an average risk screening but does not vary by colonoscopy result.


Subject(s)
Adenoma/diagnostic imaging , Colonic Neoplasms/diagnostic imaging , Colonoscopy/methods , Cost-Benefit Analysis , Early Detection of Cancer/methods , Adenoma/economics , Adenoma/mortality , Age Factors , Aged , Algorithms , Colonic Neoplasms/economics , Colonic Neoplasms/mortality , Colonoscopy/economics , Computer Simulation , Early Detection of Cancer/economics , Female , Follow-Up Studies , Health Care Costs , Humans , Male , Markov Chains , Medical Informatics/methods , Middle Aged , Probability , Quality of Life , Quality-Adjusted Life Years , Reproducibility of Results , SEER Program , Sensitivity and Specificity , United States
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