Evidence map›Paper›PMID 40700416›Full record

ArticlePloS one2025

Spatial insights into colorectal cancer risk factors and priority areas for screening in the United Kingdom based on data from the UK Biobank.

Mei Yang, Vagheesh M Narasimhan, Franklin Benjamin Zhan

Abstract read
In one paragraph

Article in PloS one, 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

3 authors.

Mei YangDepartment of Health Informatics & Information Management, Texas State University, Round Rock, Texas, United States of America.
Vagheesh M NarasimhanDepartment of Integrative Biology, The University of Texas at Austin, Austin, Texas, United States of America.ORCID https://orcid.org/0000-0001-8651-8844
Franklin Benjamin ZhanDepartment of Geography and Environmental Studies, Texas State University, San Marcos, Texas, United States of America.ORCID https://orcid.org/0000-0003-1974-976X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Geography and geospatial data science hold the potential to make unique contributions to the reduction of the burden of cancer on society. Here we use colorectal cancer (CRC) as an example to show how spatial insights into CRC risk factors and priority areas for screening may be obtained to achieve geographically targeted screening. We obtained data from the UK Biobank and divided the participants into the older (50<=age < 70) and young (age < 50) adult groups. The data consists of 2,080 CRC cases and 8,062 controls. We used a case-control study and geographically weighted logistic regression (GWLR) to explore spatial variations in risk levels of significant factors at a fine geographic resolution. Analysis results reveal that, among all significant risk factors, polygenic risk score (PRS) is the most important risk factor for both age groups. Findings suggest that the top priority screening areas for older adults, using PRS as the sole risk factor, are between Sheffield, Birmingham, Cardiff, Bristol, and west of Greater London. For young adults, the top priority areas are between the south of Glasgow and Edinburgh and northwest of Greater London. Furthermore, the approach used in this study holds promise for developing more effective targeted cancer screening.

Indexed as

Colorectal NeoplasmsEarly Detection of CancerAdultAgedBiological Specimen BanksCase-Control StudiesFemaleHumansMaleMass ScreeningMiddle AgedRisk FactorsUK BiobankUnited Kingdom

Identifiers

PMID40700416
PMCPMC12286335

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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.