Evidence map›Paper›PMID 42582145›Full record

ArticleFrontiers in oncology2026

County-level social, preventive care, and behavioral correlates of colorectal cancer mortality in the United States: a nationwide ecological analysis.

Kaide Xia, Li Luo, Chengdu Fan, Hexuan Zhang, Xiuju Yang, Chaohuang Lin

Abstract read
In one paragraph

Article in Frontiers in oncology, 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

6 authors.

Kaide Xia *Laboratory of Molecular Genetic Diagnostics, Guiyang Maternal and Child Health Care Hospital, Guiyang Children's Hospital, Guiyang, China.
Li Luo *Department of Clinical Laboratory, The Second People's Hospital of Guiyang, Guiyang, China.
Chengdu FanDepartment of Anesthesiology, The Affiliated Cancer Hospital of Guizhou Medical University, Guiyang, China.
Hexuan ZhangLaboratory of Molecular Genetic Diagnostics, Guiyang Maternal and Child Health Care Hospital, Guiyang Children's Hospital, Guiyang, China.
Xiuju YangLaboratory of Molecular Genetic Diagnostics, Guiyang Maternal and Child Health Care Hospital, Guiyang Children's Hospital, Guiyang, China.
Chaohuang LinDepartment of Gastrointestinal Surgery, The Affiliated Cancer Hospital of Guizhou Medical University, Guiyang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Geographic disparities in colorectal cancer (CRC) outcomes remain substantial across U.S. counties. Associations of social conditions, preventive care, behavioral risk environments, and rurality with CRC mortality remain incompletely characterized in analyses addressing state-level clustering and spatial dependence. Methods: We linked CDC PLACES, American Community Survey, United States Cancer Statistics, and 2023 National Center for Health Statistics rurality data in a nationwide county-level ecological study. Outcomes were age-adjusted CRC mortality and all-cancer mortality during 2019-2023 and CRC incidence during 2018-2022. Population-weighted core-adjusted linear models evaluated each exposure separately, adjusting for the county proportion aged ≥65 years, nonmetropolitan status where applicable, and state fixed effects. Standard errors were clustered by state using CR2 estimation with Satterthwaite degrees of freedom. Results: The ACS-complete dataset included 3,142 counties; 3,134 remained after linkage to the 2023 NCHS rurality classification. Final fixed samples included 2,126 counties for CRC mortality, 3,005 for all-cancer mortality, and 2,628 for CRC incidence. In core-adjusted CRC mortality models, greater broadband deprivation (β = 1.82, 95% CI 1.44 to 2.20), higher current smoking prevalence (β =2.08, 95% CI 1.74 to 2.42), and nonmetropolitan status (β=2.73, 95% CI 2.35 to 3.11) were associated with higher mortality. Higher CRC screening uptake (β = -1.64, 95% CI -1.97 to -1.31) and recent dental visit prevalence (β = -1.84, 95% CI -2.27 to -1.40) were associated with lower mortality. Key associations were directionally consistent in log-rate and matched spatial error model sensitivity analyses, with similar patterns for all-cancer mortality and CRC incidence. Conclusions: CRC mortality was associated with adverse social and behavioral profiles, lower preventive care engagement, and nonmetropolitan residence. Overlap across CRC mortality, all-cancer mortality, and CRC incidence suggests that these indicators may reflect broader geographic cancer disadvantage rather than CRC-specific mechanisms. Integrated structural, preventive care, behavioral, and rural health strategies may help reduce county-level disparities in CRC outcomes.

Indexed as

broadband accesscancer mortalitycolorectal cancergeographic disparitiessocial determinants of health

Identifiers

PMID42582145
PMCPMC13457059

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.