Evidence map›Paper›PMID 40696574›Full record

Observational studyMedicine2025

Conventional screening measure does not accurately capture screening status in a minority of patients with colorectal cancer.

Taylor M McCready, Shinjini Nandi, Yingzhi Qian, Shawn Wen, Simona C Kwon, Ann G Zauber, Jason A Dominitz, Scott E Sherman, Peter S Liang

Abstract readObservational Study
In one paragraph

Observational study in Medicine, 2025. 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

9 authors.

Taylor M McCreadyDepartment of Population Health, NYU Grossman School of Medicine, New York, NY.ORCID 0000-0002-7576-1707
Shinjini NandiDepartment of Mathematical Sciences, Montana State University, Bozeman, MT.
Yingzhi QianDepartment of Population Health, NYU Grossman School of Medicine, New York, NY.
Shawn WenDepartment of Medicine, NYU Grossman School of Medicine, New York, NY.
Simona C KwonDepartment of Population Health, NYU Grossman School of Medicine, New York, NY.
Ann G ZauberDepartment of Epidemiology & Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY.
Jason A DominitzNational Gastroenterology and Hepatology Program, Veterans Health Administration, Washington, DC.
Scott E ShermanDepartment of Population Health, NYU Grossman School of Medicine, New York, NY.
Peter S LiangDepartment of Population Health, NYU Grossman School of Medicine, New York, NY.ORCID 0000-0002-4160-421

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Hongbiao Carl Lekaye · 1985 to 2026
$347.4M
NCI NIH HHS P30 CA008748
6 · The paper itself

Abstract

Colorectal cancer (CRC) screening uptake in the Veterans Health Administration (VA) has been reported to be higher than the US general population, but CRC remains a prevalent cancer within the VA system. To examine CRC predictors and the extent to which the conventional definition of up-to-date screening applies to the population, we conducted a case-control study using VA data from 2012 to 2018. We classified patients into 5 categories: up-to-date or not up-to-date average-risk patients aged 50 to 75 (Categories 1 and 2), up-to-date or not up-to-date average-risk patients aged <50 or >75 (Categories 3 and 4), and high-risk patients (Category 5). Each CRC case was matched by age, sex, and facility with 4 controls. We performed multivariable conditional logistic regression, adjusting for race and ethnicity, diabetes, obesity, and alcohol use. Among 3714 CRC cases identified, Category 4 (odds ratio [OR] 1.40, 95% CI 1.11-1.78) and Category 5 (OR 6.23, 95% CI 5.06-7.66) patients had a higher risk of CRC compared to Category 1 patients. Compared with White patients, Black patients had a higher risk (OR 1.54, 95% CI 1.37-1.73). Diabetes (OR 1.65, 95% CI 1.51-1.81) and alcohol use disorder (OR 1.53, 95% CI 1.35-1.73) were also associated with CRC. Most CRC cases occurred in individuals aged 50 to 75, but 12.5% occurred in persons who were outside of this age range or had high-risk personal or family history. The conventional measure of CRC screening, focused on average-risk individuals aged 50 to 75, does not reflect screening status in an important minority of CRC patients.

Indexed as

Colorectal NeoplasmsEarly Detection of CancerMass ScreeningAgedCase-Control StudiesFemaleHumansMaleMiddle AgedRisk FactorsUnited StatesUnited States Department of Veterans Affairscolorectal cancerscreeningVeteran

Identifiers

PMID40696574
PMCPMC12282814

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.