Evidence map›Paper›PMID 32025627›Full record

ArticleJNCI cancer spectrum2020

Cost-Effectiveness of Risk-Stratified Colorectal Cancer Screening Based on Polygenic Risk: Current Status and Future Potential.

Steffie K Naber, Suman Kundu, Karen M Kuntz, W David Dotson, Marc S Williams, Ann G Zauber, Ned Calonge, Doris T Zallen, Theodore G Ganiats, Elizabeth M Webber and 5 more

Abstract read
In one paragraph

Article in JNCI cancer spectrum, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed, 6 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

39 citing papers in PubMed, 6 syntheses or guidelines pooled it.

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  5. 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
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  19. Risk-Stratified Screening for Colorectal Cancer Using Genetic and Environmental Risk Factors: A Cost-Effectiveness Analysis Based on Real-World Data.Clinical gastroenterology and hepatology : the official clinical practice journal of the American Gastroenterological Association · 2023
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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

15 authors.

Steffie K NaberSee the Notes section for the full list of authors' affiliations.ORCID 0000-0001-8357-1738
Suman KunduSee the Notes section for the full list of authors' affiliations.
Karen M KuntzSee the Notes section for the full list of authors' affiliations.
W David DotsonSee the Notes section for the full list of authors' affiliations.ORCID 0000-0002-9606-6594
Marc S WilliamsSee the Notes section for the full list of authors' affiliations.ORCID 0000-0001-6165-8701
Ann G ZauberSee the Notes section for the full list of authors' affiliations.
Ned CalongeSee the Notes section for the full list of authors' affiliations.
Doris T ZallenSee the Notes section for the full list of authors' affiliations.
Theodore G GaniatsSee the Notes section for the full list of authors' affiliations.
Elizabeth M WebberSee the Notes section for the full list of authors' affiliations.
Katrina A B GoddardSee the Notes section for the full list of authors' affiliations.
Nora B HenriksonSee the Notes section for the full list of authors' affiliations.
Marjolein van BallegooijenSee the Notes section for the full list of authors' affiliations.
A Cecile J W JanssensSee the Notes section for the full list of authors' affiliations.
Iris Lansdorp-VogelaarSee the Notes section for the full list of authors' affiliations.

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Hongbiao Carl Lekaye · 1985 to 2026
$347.4M
Modeling Effective Health Policies for Colorectal CancerU01CA152959 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI KUNTZ, KAREN M, LANSDORP-VOGELAAR, IRIS · 2010 to 2014
$5.4M
NCI NIH HHS P30 CA008748NCI NIH HHS U01 CA152959
6 · The paper itself

Abstract

backgroundAlthough 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.

methodsThe MISCAN-Colon model was used to simulate a hypothetical cohort of US 40-year-olds. Uniform screening was modeled as colonoscopy screening at ages 50, 60, and 70 years. For risk-stratified screening, individuals underwent polygenic testing with current and potential future discriminatory performance (area under the receiver-operating curve [AUC] of 0.60 and 0.65-0.80, respectively). Polygenic testing results were used to create risk groups, for which colonoscopy screening was optimized by varying the start age (40-60 years), end age (70-85 years), and interval (1-20 years).

resultsWith current discriminatory performance, optimal screening ranged from once-only colonoscopy at age 60 years for the lowest-risk group to six colonoscopies at ages 40-80 years for the highest-risk group. While maintaining the same health benefits, risk-stratified screening increased costs by $59 per person. Risk-stratified screening could become cost-effective if the AUC value would increase beyond 0.65, the price per polygenic test would drop to less than $141, or risk-stratified screening would lead to a 5% increase in screening participation.

conclusionsCurrently, CRC screening based on polygenic risk is unlikely to be cost-effective compared with uniform screening. This is expected to change with a greater than 0.05 increase in AUC value, a greater than 30% reduction in polygenic testing costs, or a greater than 5% increase in adherence with screening.

Identifiers

PMID32025627
PMCPMC6988584

What OpenQuestion holds

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Registered trials

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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.