Evidence map›Paper›PMID 42657326›Full record

ArticleGastro hep advances2026

Integrated Genetic Risk Stratification Identifies High Adenoma Detection Rates at Colonoscopy in a Real-World US Health System.

Mitchelle V Zolotarevsky, Keon Karimabady, Raza Muhammad, Annabelle Ashworth, Ashley Mulford, Zhuqing Shi, Huy Tran, Jun Wei, S Lilly Zheng, Brian T Helfand and 4 more

Abstract read
In one paragraph

Article in Gastro hep advances, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

14 authors.

Mitchelle V ZolotarevskyDepartment of Medicine, Endeavor Health, Evanston, Illinois.
Keon KarimabadyDepartment of Medicine, Endeavor Health, Evanston, Illinois.
Raza MuhammadDepartment of Medicine, Endeavor Health, Evanston, Illinois.
Annabelle AshworthProgram for Genomic Translational Research, Endeavor Health, Evanston, Illinois.
Ashley MulfordGenomic Health Initiative, Endeavor Health, Evanston, Illinois.
Zhuqing ShiProgram for Genomic Translational Research, Endeavor Health, Evanston, Illinois.
Huy TranProgram for Genomic Translational Research, Endeavor Health, Evanston, Illinois.
Jun WeiProgram for Genomic Translational Research, Endeavor Health, Evanston, Illinois.
S Lilly ZhengProgram for Genomic Translational Research, Endeavor Health, Evanston, Illinois.
Brian T HelfandBiological Sciences Division, University of Chicago Pritzker School of Medicine, Chicago, Illinois.
Alan R SandersBiological Sciences Division, University of Chicago Pritzker School of Medicine, Chicago, Illinois.
Andrew RossDepartment of Medicine, Endeavor Health, Evanston, Illinois.
Blake JonesDepartment of Medicine, Endeavor Health, Evanston, Illinois.
Jianfeng XuBiological Sciences Division, University of Chicago Pritzker School of Medicine, Chicago, Illinois.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Aims: Colonoscopy prevents colorectal cancer through detection and removal of precursor adenomas but remains a resource-intensive for population screening. Inherited genetic risk may improve yield of adenoma detection and prioritization of colonoscopy in higher risk individuals supporting a shift toward genetically informed screening paradigm. Methods: We conducted a retrospective chart review of 800 adults from a US health-system biobank who underwent colonoscopy between 2010 and 2025, with investigators blinded to genetic risk status. Participants were randomly sampled across 4 predefined genetic risk categories (Low, Intermediate, High, Very High; 200 in each group) using an externally developed and validated genetic probability model (genomic probability of colorectal cancer risk) incorporating polygenic risk scores, family history, and Lynch syndrome pathogenic variants. After applying exclusion criteria, 608 patients were included into the study. The primary outcome was adenoma detection rate (ADR). Multivariable logistic regression adjusted for age, sex, body mass index, genetic ancestry, colonoscopy indication, and year of colonoscopy. Model discrimination was assessed using the area under the receiver operating characteristic curve (AUC). Results: Overall ADR was 43.59% and increased from 26.27% (Low), 41.38% (Intermediate), and 54.08% (High) to 68.35% (Very High), Conclusion: Integrated genetic risk stratification was strongly associated with adenoma detection and substantially enriched colonoscopy yield. These findings support incorporating genetic risk to prioritize colonoscopy resources more efficiently.

Indexed as

ColonoscopyColorectal CancerFamily History (FH)Lynch Syndrome (LS)Polygenic Score (PGS)

Identifiers

PMID42657326
PMCPMC13508632

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.