Evidence map›Paper›PMID 39254429›Full record

ArticleCancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology2024

Recalibrating the Genetics and Epidemiology of Colorectal Cancer Consortium Environmental Risk Score for Use in US Veterans.

April R Williams, Thomas S Redding, Brian A Sullivan, Robin N Baidya, Belinda Ear, Kelly Cho, Kerry L Ivey, Christina D Williams, Jason A Dominitz, David Lieberman and 2 more

Abstract read
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, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. The Cancer Epidemiology Descriptive Cohort Database: A Tool to Support Population-Based Interdisciplinary Research.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2016
    Article
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

12 authors.

April R WilliamsU.S. Department of Veterans Affairs Million Veteran Program Coordinating Center, Boston, Massachusetts.ORCID 0000-0002-9061-334X
Thomas S ReddingCooperative Studies Program Epidemiology Center-Durham, Durham VA Health Care System, Durham, North Carolina.ORCID 0009-0000-0173-2789
Brian A SullivanCooperative Studies Program Epidemiology Center-Durham, Durham VA Health Care System, Durham, North Carolina.ORCID 0000-0002-7098-6261
Robin N BaidyaNational Oncology Program, U.S. Department of Veterans Affairs, Washington, District of Columbia.ORCID 0000-0003-4068-9300
Belinda EarCooperative Studies Program Epidemiology Center-Durham, Durham VA Health Care System, Durham, North Carolina.ORCID 0000-0002-6324-768X
Kelly ChoMassachusetts Veterans Epidemiology and Research Information Center (MAVERIC) and the VA Million Veteran Program, Boston VA Healthcare System, Boston, Massachusetts.ORCID 0000-0003-1727-7076
Kerry L IveyMassachusetts Veterans Epidemiology and Research Information Center (MAVERIC) and the VA Million Veteran Program, Boston VA Healthcare System, Boston, Massachusetts.ORCID 0000-0001-9855-2599
Christina D WilliamsCooperative Studies Program Epidemiology Center-Durham, Durham VA Health Care System, Durham, North Carolina.ORCID 0000-0002-6925-3482
Jason A DominitzNational Gastroenterology and Hepatology Program, Veterans Health Administration Washington, Washington, District of Columbia.ORCID 0000-0002-8070-7086
David LiebermanVA Portland Health Care System, Portland, Oregon.ORCID 0000-0002-1073-5401
Elizabeth R HauserCooperative Studies Program Epidemiology Center-Durham, Durham VA Health Care System, Durham, North Carolina.ORCID 0000-0003-0367-9189
VA Million Veteran Program

Funding

Building Data Science Tools for Genetic Models of Colorectal Cancer Progression and RiskI01BX005718 · VA · DURHAM VA MEDICAL CENTER · PI Elizabeth R Hauser · 2023 to 2026
–
BLRD VA I01 BX005718BLRD VA IK2 BX006452
6 · The paper itself

Abstract

backgroundRisk for colorectal cancer may accumulate through multiple environmental factors. Understanding their effects, along with genetics, age, and family history, could allow improvements in clinical decisions for screening protocols. We aimed to extend the previous work by recalibrating an environmental risk score (e-Score) for colorectal cancer among a sample of US veteran participants of the Million Veteran Program.

methodsDemographic, lifestyle, and colorectal cancer data from 2011 to 2022 were abstracted from survey responses and health records of 227,504 male Million Veteran Program participants. Weighting for each environmental factor's effect size was recalculated using Veterans Affairs training data to create a recalibrated e-Score. This recalibrated score was compared with the original weighted e-Score in a validation sample of 113,752 (n cases = 590). Nested multiple logistic regression models tested associations between quintiles for recalibrated and original e-Scores. Likelihood ratio tests were used to compare model performance.

resultsAge (P < 0.0001), education (P < 0.0001), diabetes (P < 0.0001), physical activity (P < 0.0001), smoking (P < 0.0001), NSAID use (P < 0.0001), calcium (P = 0.015), folate (P = 0.020), and fruit consumption (P = 0.019) were significantly different between colorectal cancer case and control groups. In the validation sample, the recalibrated e-Score model significantly improved the base model performance (P < 0.001), but the original e-Score model did not (P = 0.07). The recalibrated e-Score model quintile 5 was associated with significantly higher odds for colorectal cancer compared with quintile 1 (Q5 vs. Q1: 1.79; 95% CI, 1.38-2.33).

conclusionsMultiple environmental factors and the recalibrated e-Score quintiles were significantly associated with colorectal cancer cases. IMPACT: A recalibrated, veteran-specific e-Score could be used to help personalize colorectal cancer screening and prevention strategies.

Indexed as

Colorectal NeoplasmsVeteransAgedFemaleHumansMaleMiddle AgedRisk AssessmentRisk FactorsUnited States

Identifiers

PMID39254429
PMCPMC11528197

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.