Evidence map›Paper›PMID 42058142›Full record

ArticlePublic health in practice (Oxford, England)2026

Survey on changes in colorectal cancer screening participation at Minamisoma city after the Great East Japan earthquake using clustering analysis.

Hiroki Yoshimura, Hiroaki Saito, Michio Murakami, Akihiko Ozaki, Yoshitaka Nishikawa, Toyoaki Sawano, Saori Nonaka, Sho Fujioka, Yuki Shimada, Chika Yamamoto and 3 more

Abstract read
In one paragraph

Article in Public health in practice (Oxford, England), 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

13 authors.

Hiroki YoshimuraDepartment of Radiation Health Management, Fukushima Medical University School of Medicine, Fukushima, Japan.
Hiroaki SaitoDepartment of Radiation Health Management, Fukushima Medical University School of Medicine, Fukushima, Japan.
Michio MurakamiDepartment of Health Risk Communication, Fukushima Medical University School of Medicine, Fukushima, Japan.
Akihiko OzakiResearch Center for Community Health, Minamisoma Municipal General Hospital, Minamisoma, Japan.
Yoshitaka NishikawaDepartment of Health Informatics, Kyoto University School of Public Health, Kyoto City, Japan.
Toyoaki SawanoDepartment of Radiation Health Management, Fukushima Medical University School of Medicine, Fukushima, Japan.
Saori NonakaDepartment of Radiation Health Management, Fukushima Medical University School of Medicine, Fukushima, Japan.
Sho FujiokaTsubasa Homecare Clinic, Hanyu, Japan.
Yuki ShimadaDepartment of Radiation Health Management, Fukushima Medical University School of Medicine, Fukushima, Japan.
Chika YamamotoDepartment of Radiation Health Management, Fukushima Medical University School of Medicine, Fukushima, Japan.
Tianchen ZhaoDepartment of Radiation Health Management, Fukushima Medical University School of Medicine, Fukushima, Japan.
Tomoyoshi OikawaDepartment of Neurosurgery, Minamisoma Municipal General Hospital, Minamisoma City, Fukushima, Japan.
Masaharu TsubokuraDepartment of Radiation Health Management, Fukushima Medical University School of Medicine, Fukushima, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: Participation in colorectal cancer (CRC) screening is important. However, detailed analyses of pre- and post-disaster screening participation is lacking. We classified a population in terms of CRC screening participation pattern before and after the Great East Japan Earthquake and identified factors that are important in classifying people into such groups. Study design: Retrospective observational study. Methods: We analyzed 21 578 people who were consistently registered in the basic resident register of Minamisoma between 2009 and 2018, using non-hierarchical clustering with the k-means method. After clustering analysis, we identified the factors that distinguish groups with different post-disaster participation changes by classes with high and low pre-disaster participation rates using LightGBM. Results: Transition in screening participation rate was divided into four classes. Classes 1 and 2 had high pre-disaster participation; Class 1 recovered after a decline, while Class 2 stayed low, mainly among those still evacuated. The factors separating the two groups were age, sex, and evacuation status. Class 3 and 4 had low pre-disaster rates; Class 3 increased participation post-disaster, especially among individuals under 53 years old. The factors separating the two groups were age and sex. Conclusions: Our analysis revealed that CRC screening participation declined among evacuees who had previously participated in screening but increased among older individuals who had not participated before the disaster. Post-disaster screening strategies should be tailored to these groups.

Indexed as

Cancer screeningColorectal cancerDisaster public healthGreat East Japan earthquakeNon-hierarchical clustering

Identifiers

PMID42058142
PMCPMC13121412

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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 OpenQuestion graph.