Evidence map›Paper›PMID 39752162›Full record

ArticleJAMA network open2025

Social Risks and Nonadherence to Recommended Cancer Screening Among US Adults.

Ami E Sedani, Scarlett L Gomez, Wayne R Lawrence, Justin X Moore, Heather M Brandt, Charles R Rogers

Abstract read
In one paragraph

Article in JAMA network open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 1 pooled it
–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

30 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  11. Breast cancer prevention in patients with gBRCA-mutated ovarian cancer.Journal of cancer research and clinical oncology · 2026
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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

6 authors.

Ami E SedaniDepartment of Epidemiology, School of Public Health, University of Texas Health Sciences Center at Houston, Dallas.
Scarlett L GomezDepartment of Epidemiology and Biostatistics, University of California, San Francisco.
Wayne R LawrenceDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland.
Justin X MooreCenter for Health Equity Transformation, Markey Cancer Center, University of Kentucky College of Medicine, Lexington.
Heather M BrandtEpidemiology & Cancer Control, St Jude Children's Research Hospital, Memphis, Tennessee.
Charles R RogersMen's Health Inequities Research Lab, Milwaukee, Wisconsin.

Funding

Developing a Barbershop-Based Trial on Masculinity Barriers to Care and Colorectal Cancer Screening Uptake among African-American Men using a MixedMethods ApproachK01CA234319 · NCI · UNIVERSITY OF UTAH · PI ROGERS, CHARLES R. · 2018 to 2022
$878k
Geographic and Racial Disparities in Mammography Screening and Barriers to Receiving CareK01MD015304 · NIMHD · UNIVERSITY OF KENTUCKY · PI MOORE, JUSTIN XAVIER · 2020 to 2024
$646k
NCI NIH HHS K01 CA234319NIMHD NIH HHS K01 MD015304
6 · The paper itself

Abstract

Importance: Research indicates that social drivers of health are associated with cancer screening adherence, although the exact magnitude of these associations remains unclear. Objective: To investigate the associations between individual-level social risks and nonadherence to guideline-recommended cancer screenings. Design, Setting, and Participants: This cross-sectional study used 2022 Behavioral Risk Factor Surveillance System data from 39 US states and Washington, DC. Analyses for each specific cancer screening subsample were limited to screening-eligible participants according to the latest US Preventive Services Task Force (USPSTF) guidelines. Data were analyzed from February 22 to June 5, 2024. Exposures: Ten social risk items, including life satisfaction, social and emotional support, social isolation, employment stability, food security (2 questions), housing security, utility security, transportation access, and mental well-being. Main Outcomes and Measures: Up-to-date status (adherence) was assessed using USPSTF definitions. Adjusted risk ratios (ARRs) and 95% CIs were estimated using modified Poisson regression with robust variance estimator. Results: A total of 147 922 individuals, representing a weighted sample of 78 784 149 US adults, were included in the analysis (65.8% women; mean [SD] age, 56.1 [13.3] years). The subsamples included 119 113 individuals eligible for colorectal cancer screening (CRCS), 7398 eligible for lung cancer screening (LCS), 56 585 eligible for cervical cancer screening (CCS), and 54 506 eligible for breast cancer screening (BCS). Findings revealed slight differences in effect size magnitude and in some cases direction; therefore results were stratified by sex, although precision was reduced for LCS. For the social contextual variables, life dissatisfaction was associated with nonadherence for CCS (ARR, 1.08; 95% CI, 1.01-1.16) and BCS (ARR, 1.22; 95% CI, 1.15-1.29). Lack of support was associated with nonadherence in CRCS in men and women and BCS, as was feeling isolated in CRCS in women and BCS. An association with feeling mentally distressed was seen in BCS. Under economic stability, food insecurity was associated with increased risk of nonadherence in CRCS in both men and women, CCS, and BCS; the direction of effect sizes for LCS were the same, but were not statistically significant. Under built environment, transportation insecurity was associated with nonadherence in CRCS in women and BCS, and cost barriers to health care access were associated with increased risk of nonadherence in CRCS for both men and women, LCS in women, and BCS, with the greatest risk and with reduced precision seen in LCS in women (ARR, 1.54; 95% CI, 1.01-2.33). Conclusions and Relevance: In this cross-sectional study of adults eligible for cancer screening, findings revealed notable variations in screening patterns by both screening type and sex. Given that these risks may not always align with patient-centered social needs, further research focusing on specific target populations is essential before effective interventions can be implemented.

Indexed as

Behavioral Risk Factor Surveillance SystemEarly Detection of CancerAdultAgedCross-Sectional StudiesFemaleHumansMaleMiddle AgedNeoplasmsPatient ComplianceUnited StatesYoung Adult

Identifiers

PMID39752162
PMCPMC11699527

What OpenQuestion holds

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LicenceCC BY
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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.