Evidence map›Paper›PMID 39733276›Full record

ArticleClinical and translational gastroenterology2024

Evaluating the Use of Environmental and Polygenic Risk Scores to Inform Colorectal Cancer Risk-Based Surveillance Intervals.

Rebecca Landy, Hormuzd A Katki, Wen-Yi Huang, Difei Wang, Minta Thomas, Flora Qu, Neal D Freedman, Erikka Loftfield, Jianxin Shi, Ulrike Peters and 3 more

Abstract read
In one paragraph

Article in Clinical and translational gastroenterology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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

1 citing paper in PubMed.

  1. Review
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

13 authors.

Rebecca LandyDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, USA.
Hormuzd A KatkiDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, USA.
Wen-Yi HuangDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, USA.
Difei WangDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, USA.
Minta ThomasPublic Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA.
Flora QuPublic Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA.
Neal D FreedmanDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, USA.
Erikka LoftfieldDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, USA.
Jianxin ShiDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, USA.
Ulrike PetersPublic Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA.
Li HsuPublic Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA.
Robert E SchoenDepartments of Medicine and Epidemiology, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA .
Sonja I BerndtDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, USA.

Funding

Division of Cancer Epidemiology and Genetics, National Cancer Institute
6 · The paper itself

Abstract

introductionUnited States Multi-Society Task Force colonoscopy surveillance intervals are based solely on adenoma characteristics, without accounting for other risk factors. We investigated whether a risk model including demographic, environmental, and genetic risk factors could individualize surveillance intervals under an "equal management of equal risks" framework.

methodsUsing 14,069 individuals from the Prostate, Lung, Colorectal, and Ovarian Cancer Screening Trial who had a diagnostic colonoscopy following an abnormal flexible sigmoidoscopy, we modeled the risk of colorectal cancer, considering the diagnostic colonoscopy finding, baseline risk factors (e.g., age and sex), 19 lifestyle and environmental risk factors, and a polygenic risk score for colorectal cancer. Ten-year absolute cancer risks for each diagnostic colonoscopy finding (advanced adenomas [N = 2,446], ≥3 non-advanced adenomas [N = 483], 1-2 non-advanced adenomas [N = 4,400], and no adenoma [N = 7,183]) were used as implicit risk thresholds for recommended surveillance intervals.

resultsThe area under the curve for the model including colonoscopy findings, baseline characteristics, and polygenic risk score was 0.658. Applying the equal management of equal risks framework, 28.2% of individuals with no adenoma and 42.7% of those with 1-2 non-advanced adenomas would be considered high risk and assigned a significantly shorter surveillance interval than currently recommended. Among individuals who developed cancer within 10 years, 52.4% with no adenoma and 48.3% with 1-2 non-advanced adenomas would have been considered high risk and assigned a shorter surveillance interval. DISCUSSION: Using a personalized risk-based model has the potential to identify individuals with no adenoma or 1-2 non-advanced adenomas, who are higher risk and may benefit from shorter surveillance intervals.

Indexed as

AdenomaColonoscopyColorectal NeoplasmsEarly Detection of CancerAgedFemaleGenetic Risk ScoreHumansMaleMiddle AgedRisk AssessmentRisk FactorsSigmoidoscopyTime FactorsUnited States

Identifiers

PMID39733276
PMCPMC11671055

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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.