Evidence map›Paper›PMID 38327655›Full record

ArticleAJPM focus2024

Correlates of U.S. Adults Aged 50-75 Years Having Had a Colorectal Cancer Screening Test.

Aisha T Langford, Katerina Andreadis, Katrina R Ellis, Nancy Buderer

Abstract read
In one paragraph

Article in AJPM focus, 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. Article
  3. 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

4 authors.

Aisha T LangfordDepartment of Family Medicine and Public Health Sciences, School of Medicine, Wayne State University, Detroit, Michigan.
Katerina AndreadisDepartment of Population Health, NYU Langone Health, New York, New York.
Katrina R EllisSchool of Social Work, University of Michigan, Ann Arbor, Michigan.
Nancy BudererNancy Buderer Consulting, LLC, Oak Harbor, Ohio.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Colorectal cancer is a leading cause of cancer death in the U.S. Until 2021, the U.S. Preventive Services Task Force recommended colorectal cancer screening for all adults aged 50-75 years. Using a nationally representative sample, we explored the associations between having colorectal cancer screening and key sociodemographic and health-related factors among U.S. adults aged 50-75 years. Methods: We analyzed self-reported data from the National Cancer Institute's Health Information National Trends Survey 5 (Cycle 4) collected from February to June 2020. A multivariable weighted logistic regression model was conducted using all of the factors that were univariably significant with Results: Complete data were available for 1,649 respondents: 1,384 (81.2% weighted) had a colorectal cancer screening test, and 265 (18.8% weighted) did not. Multivariably, the odds of having had a colorectal cancer screening test increased with age (OR=1.07) and were higher for participants who identified as Black/African American than for White participants (OR=2.4), participants who had a family member who ever had cancer (OR=1.7), participants who believed that being overweight and obese influences development of cancer a lot than those who believed not at all (OR=2.0), and participants who had friends or family to talk with about health (OR=2.3). Conclusions: Age, race, family history, weight-related beliefs about the causes of cancer, and having someone to talk with about health were associated with having colorectal cancer screening test.

Indexed as

coloncolorectal cancerrisk reductionScreening

Identifiers

PMID38327655
PMCPMC10847606

What OpenQuestion holds

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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.