Evidence map›Paper›PMID 31748260›Full record

ArticleCancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology2020

Cost-Effectiveness of Personalized Screening for Colorectal Cancer Based on Polygenic Risk and Family History.

Dayna R Cenin, Steffie K Naber, Anne C de Weerdt, Mark A Jenkins, David B Preen, Hooi C Ee, Peter C O'Leary, Iris Lansdorp-Vogelaar

Abstract readComparative Study
In one paragraph

Article in Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 3 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

20 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
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  3. Can polygenic risk scores contribute to cost-effective cancer screening? A systematic review.Genetics in medicine : official journal of the American College of Medical Genetics · 2022
    Pooled it
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  14. Risk Stratification in Cost-Effectiveness Analyses of Cancer Screening: Intervention Eligibility, Strategy Choice, and Optimality.Medical decision making : an international journal of the Society for Medical Decision Making · 2022
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  20. Behavioural Challenges Associated With Risk-Adapted Cancer Screening.Cancer control : journal of the Moffitt Cancer Center
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Dayna R CeninErasmus MC, University Medical Center Rotterdam, Department of Public Health, Rotterdam, the Netherlands. d.cenin@erasmusmc.nl.ORCID 0000-0003-2598-7035
Steffie K NaberErasmus MC, University Medical Center Rotterdam, Department of Public Health, Rotterdam, the Netherlands.ORCID 0000-0001-8357-1738
Anne C de WeerdtErasmus MC, University Medical Center Rotterdam, Department of Public Health, Rotterdam, the Netherlands.
Mark A JenkinsCentre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Victoria, Australia.
David B PreenCentre for Health Services Research, School of Population and Global Health, The University of Western Australia, Perth, Western Australia, Australia.
Hooi C EeDepartment of Gastroenterology, Sir Charles Gairdner Hospital, Perth, Western Australia, Australia.
Peter C O'LearyHealth Systems and Health Economics, School of Public Health, Faculty of Health Sciences, Curtin University, Perth, Western Australia, Australia.ORCID 0000-0001-9375-0801
Iris Lansdorp-VogelaarErasmus MC, University Medical Center Rotterdam, Department of Public Health, Rotterdam, the Netherlands.

Funding

Comparative Modeling of Colorectal Cancer: Informing Health Policies and Prioritizing Future ResearchU01CA199335 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI KUNTZ, KAREN M, LANSDORP-VOGELAAR, IRIS · 2015 to 2019
$5.5M
NCI NIH HHS U01 CA199335
6 · The paper itself

Abstract

backgroundThere is growing evidence for personalizing colorectal cancer screening based on risk factors. We compared the cost-effectiveness of personalized colorectal cancer screening based on polygenic risk and family history to uniform screening.

methodsUsing the MISCAN-Colon model, we simulated a cohort of 100 million 40-year-olds, offering them uniform or personalized screening. Individuals were categorized based on polygenic risk and family history of colorectal cancer. We varied screening strategies by start age, interval and test and estimated costs, and quality-adjusted life years (QALY). In our analysis, we (i) assessed the cost-effectiveness of uniform screening; (ii) developed personalized screening scenarios based on optimal screening strategies by risk group; and (iii) compared the cost-effectiveness of both.

resultsAt a willingness-to-pay threshold of $50,000/QALY, the optimal uniform screening scenario was annual fecal immunochemical testing (FIT) from ages 50 to 74 years, whereas for personalized screening the optimal screening scenario consisted of annual and biennial FIT screening except for those at highest risk who were offered 5-yearly colonoscopy from age 50 years. Although these scenarios gained the same number of QALYs (17,887), personalized screening was not cost-effective, costing an additional $428,953 due to costs associated with determining risk (assumed to be $240 per person). Personalized screening was cost-effective when these costs were less than ∼$48.

conclusionsUniform colorectal cancer screening currently appears more cost-effective than personalized screening based on polygenic risk and family history. However, cost-effectiveness is highly dependent on the cost of determining risk. IMPACT: Personalized screening could become increasingly viable as costs for determining risk decrease.

Indexed as

AdultAgedAged, 80 and overAustraliaColonoscopyColorectal NeoplasmsComputer SimulationCost-Benefit AnalysisEarly Detection of CancerFemaleGenetic Predisposition to DiseaseGenetic TestingHealth Care CostsHumansMaleMass Screening

Identifiers

PMID31748260
PMCPMC7159991

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.