Combining Colonoscopy With Fecal Immunochemical Test Can Improve Current Familial Colorectal Cancer Colonoscopy Surveillance: A Modelling Study
Gastroenterology, vol. 168, pp. 136–149
Abstract
BACKGROUND & AIMS: The authors assessed whether familial colorectal cancer (FCRC) surveillance in individuals without hereditary CRC can be optimized METHODS: The Adenoma and Serrated Pathway to Colorectal Cancer (ASCCA)-FCRC model simulates CRC development in individuals with a family history of CRC at 2-fold and 4-fold increased CRC risk compared with the general population. The authors simulated a strategy without surveillance, the current Dutch guideline (5-yearly colonoscopy between ages 45 and 75 years), and the following 3 sets of alternative strategies: colonoscopy surveillance, surveillance combining colonoscopy and fecal immunochemical testing (FIT), and FIT-based surveillance. Each set included a range of strategies differing in age range and test interval. The optimal strategy was defined as the strategy with highest quality-adjusted life-years (QALYs) satisfying all of the following criteria: in the (near-)efficiency area of the cost-effectiveness frontier and compared with current surveillance; noninferior effectiveness; no substantial increase in colonoscopy burden; and not more expensive. RESULTS: The optimal strategy was 10-yearly colonoscopy with 2-yearly FIT between colonoscopies from ages 40 to 80 years for both 2-fold and 4-fold increased CRC risk. At 2-fold risk, this strategy prevented 0.8 more CRC deaths, gained 15.8 more QALYs at 731 fewer colonoscopies, and saved €98,000 over the lifetime of 1000 individuals compared with current surveillance. At 4-fold risk, figures were 2.1 more CRC deaths prevented, 37.0 more QALYs gained at 567 fewer colonoscopies, and €127,000 lower costs. Current surveillance was not (near-)efficient. CONCLUSIONS: FIT could play an important role in FCRC surveillance. Surveillance with 10-yearly colonoscopy and 2-yearly FIT between colonoscopies from ages 40 to 80 years increased QALYs and reduced colonoscopy burden and costs compared with current FCRC surveillance.
Authors 11
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Amsterdam Public Health · Amsterdam University Medical Centers · Vrije Universiteit Amsterdam
Affiliation as printed
Decision Modeling Center, Department of Epidemiology and Data Science, Amsterdam University Medical Centers, Vrije Universiteit, Amsterdam Public Health, Amsterdam, The Netherlands. Electronic address: f.vanwifferen@amsterdamumc.nl
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Amsterdam Public Health · Amsterdam University Medical Centers · Vrije Universiteit Amsterdam
Affiliation as printed
Decision Modeling Center, Department of Epidemiology and Data Science, Amsterdam University Medical Centers, Vrije Universiteit, Amsterdam Public Health, Amsterdam, The Netherlands
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Monique Esther van Leerdam Aachen
Leiden University · Leiden University Medical Center · The Netherlands Cancer Institute
Affiliation as printed
Department of Gastrointestinal Oncology, Netherlands Cancer Institute-Antoni van Leeuwenhoek, Amsterdam, The Netherlands; Department of Gastroenterology and Hepatology, Leiden University Medical Centre, Leiden, The Netherlands
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Affiliation as printed
Department of Gastroenterology and Hepatology, Rijnstate Hospital, Arnhem, The Netherlands
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Amsterdam University Medical Centers · University of Amsterdam
Affiliation as printed
Department of Gastroenterology and Hepatology, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, The Netherlands
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Leiden University · Leiden University Medical Center
Affiliation as printed
Department of Gastroenterology and Hepatology, Leiden University Medical Centre, Leiden, The Netherlands
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Affiliation as printed
Department of Public Health, Erasmus Medical Center, University Medical Center, Rotterdam, The Netherlands
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The University of Sydney · Cancer Council NSW
Affiliation as printed
The Daffodil Centre, The University of Sydney, a joint venture with Cancer Council New South Wales, New South Wales, Sydney, Australia
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The Netherlands Cancer Institute
Affiliation as printed
Department of Pathology, Netherlands Cancer Institute, Amsterdam, The Netherlands
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Radboud University Medical Center
Affiliation as printed
Department of Gastroenterology, Radboud University Medical Center, Nijmegen, The Netherlands
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Amsterdam Public Health · Amsterdam University Medical Centers · Vrije Universiteit Amsterdam
Affiliation as printed
Decision Modeling Center, Department of Epidemiology and Data Science, Amsterdam University Medical Centers, Vrije Universiteit, Amsterdam Public Health, Amsterdam, The Netherlands
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