Evidence map›Paper›PMID 41587864›Full record

ArticleBMJ open2026

Association between rurality and mortality from major diseases in Japan: an ecological study.

Makoto Kaneko, Takaaki Ikeda

Abstract read
In one paragraph

Article in BMJ open, 2026. 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

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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.

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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

2 authors.

Makoto KanekoDepartment of Health Data Science, Yokohama City University, Yokohama, Kanagawa, Japan kanekom@yokohama-cu.ac.jp.ORCID http://orcid.org/0000-0002-4581-8274
Takaaki IkedaDepartment of Health Policy Science, Yamagata University, Yamagata, Japan.ORCID http://orcid.org/0000-0003-4325-4492

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThis study aimed to examine rural-urban disparities in healthcare outcomes in Japan using the Rurality Index for Japan (RIJ). It evaluated the association between rurality and mortality from five major diseases prioritised by the Japanese government, accounting for socioeconomic and demographic factors.

designAn ecological study using publicly available data at municipal and administrative district levels.

settingAll municipalities and administrative districts within government-designated cities in Japan.

participantsA total of 1897 municipalities and administrative districts were analysed, excluding areas with zero population. The total number of the population was approximately 126 million. EXPOSURE: Rurality was measured using RIJ. PRIMARY OUTCOME MEASURES: Standardised mortality ratios (SMRs) were used for acute myocardial infarction (AMI), cerebrovascular diseases (stroke and haemorrhage), cancer and suicide. The standardised claim ratio (SCR) for diabetes outpatient care served as a proxy measure due to the unavailability of mortality data.

resultsGreater rurality, as quantified by RIJ, was associated with higher SMRs for cerebrovascular diseases and male suicide. A dose-response relationship was observed among SMRs for cerebrovascular disease and male suicide, whereas AMI mortality was higher in rural areas but lacked a strict dose-dependent trend. No significant association was found between rurality and cancer mortality or diabetes in outpatient SCR. Additionally, RIJ was positively correlated with the proportion of older adults (Spearman's ρ=0.67) and the Arial Deprivation Index (ρ=0.55).

conclusionThese findings highlight the need for targeted rural health policies that improve access to emergency care and mental health services.

Indexed as

Cerebrovascular DisordersHealthcare DisparitiesMyocardial InfarctionNeoplasmsRural PopulationSuicideAgedDiabetes MellitusFemaleHumansJapanMaleMiddle AgedSocioeconomic Disparities in HealthSocioeconomic FactorsStrokeHealth EquityHealth Services AccessibilityMortalityPUBLIC HEALTHQuality in health care

Identifiers

PMID41587864
PMCPMC12853552

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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.