Evidence map›Paper›PMID 41795928›Full record

SynthesisEnvironmental health and preventive medicine2026

Exposure to particulate matters and risk of diabetes-related mortality: a systematic review and meta-analysis.

Weifang Yang, Jing Li

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in Environmental health and preventive medicine, 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

2 authors.

Weifang YangDepartment of Endocrinology, Qingdao Municipal Hospital.
Jing LiDepartment of Cadre Health Care, Qingdao Municipal Hospital.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEpidemiological evidence increasingly implicates ambient particulate matter (PM) as a contributor to diabetes progression and premature mortality; however, the strength and consistency of these associations remain uncertain. This systematic review and meta-analysis quantified the relationship between exposure to major PM fractions-particularly PM

methodsFollowing PRISMA and MOOSE guidelines, five databases were searched through September 30, 2025. Eligible observational studies assessed long- or short-term exposure to ambient PM and reported quantitative estimates for diabetes-associated deaths. Effect sizes were pooled using random-effects models and expressed as relative risk (RR) per 10 µg/m

resultsThirty-six studies (41 datasets) were included. Pooled analysis showed a significant positive association between PM

conclusionsBoth fine (PM

Indexed as

Air PollutantsDiabetes MellitusEnvironmental ExposureParticulate MatterHumansAir PollutantsParticulate MatterDiabetes-related mortalityMeta-analysisParticulate matterPM10PM2.5

Identifiers

PMID41795928
PMCPMC12981974

What OpenQuestion holds

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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.