2019
DOI: 10.1093/jncics/pkz086
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Cost-Effectiveness of Risk-Stratified Colorectal Cancer Screening Based on Polygenic Risk: Current Status and Future Potential

Abstract: Background Although uniform colonoscopy screening reduces colorectal cancer (CRC) mortality, risk-based screening may be more efficient. We investigated whether CRC screening based on polygenic risk is a cost-effective alternative to current uniform screening, and if not, under what conditions it would be. Methods The MISCAN-Colon model was used to simulate a hypothetical cohort of US 40-year-olds. Uniform screening was model… Show more

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Cited by 42 publications
(65 citation statements)
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“…Firstly, instead of repeating the screening tests every 3 or 5 years, the single largest cost in our proposed program is a one-off test for each participant and possibly to assess genetic risk for many other diseases. 49,50,51 Secondly, the PRS would determine a high-risk subpopulation who require regular follow-up, thereby reducing the population who require ongoing repeat screening costs. This would logically reduce the screening cost when compared with repeated IOP measurements, visual field tests and clinical examinations by trained personnel every few years.…”
Section: Discussionmentioning
confidence: 99%
“…Firstly, instead of repeating the screening tests every 3 or 5 years, the single largest cost in our proposed program is a one-off test for each participant and possibly to assess genetic risk for many other diseases. 49,50,51 Secondly, the PRS would determine a high-risk subpopulation who require regular follow-up, thereby reducing the population who require ongoing repeat screening costs. This would logically reduce the screening cost when compared with repeated IOP measurements, visual field tests and clinical examinations by trained personnel every few years.…”
Section: Discussionmentioning
confidence: 99%
“…This study explores the acceptability and feasibility of genomic testing for CRC risk within primary care, but there are of course other aspects of implementation, cost-effectiveness, and model selection that remain unanswered. Several cost-effectiveness analyses have shown that a risk-stratified CRC screening could be cost-effective with slight improvement in predictiveness of the genomic model, slight reduction in cost of the genomic test, or slight increase in subsequent screening adherence [21], and that it can reduce harms of a screening programme [47]. As the evidence for the predictiveness and cost-effectiveness of genomic risk prediction models for common conditions builds, as it rapidly continues to do, implementation studies must keep up.…”
Section: Discussionmentioning
confidence: 99%
“…Uptake of population iFOBT screening in Australia is only 41% [19], and it has been shown that endorsement by GPs could help increase screening rates [20]. A cost-effectiveness study of genomic testing to guide screening showed that increasing adherence to screening recommendations by 5% would make the genomic test cost-effective [21]. In this context, the use of a genomic test within primary care to guide the type and timing of CRC screening could improve the efficiency of population screening, by ensuring the right type of screening is recommended according to an individual’s risk and increasing adherence to those recommendations.…”
Section: Introductionmentioning
confidence: 99%
“…Naber et al (50) optimized screening intervals for cost-efficiency and found that screening based on stratification with a baseline model with AUC of 0.6 would become cost-effective with PRS prices below 141 US dollars. Here, we have adapted their screening recommendations to a PRS model from Huyghe et al adapted and locally revalidated for individual (11).…”
Section: Discussionmentioning
confidence: 99%
“…Equivalent values for women are somewhat lower: 10.2% (9.33% -11.1%) and 1.6% (1.41% -2.6%). • Coloscopies every 10 years, ages 50 Next, we estimated the proportion of individuals with relative risks to an average individual in the Estonian population. We estimated that relative risks as more than 3.1, compared to an individual with median population PRS, in around 0.3% of females, between 1.6 and 3.1 in 11.9%, between 1.4 and 1.6 in 10.3%, between 0.9 and 1.4 in 37.7%, between 0.7 and 0.9 in 20.8%, between 0.6 and 0.7 in 9.4% and below 0.6 in 9.5%.…”
Section: Absolute Risk Estimationmentioning
confidence: 99%