Evidence map›Paper›PMID 28122165›Full record

SynthesisJournal of diabetes investigation2017

Association between particulate matter 2.5 and diabetes mellitus: A meta-analysis of cohort studies.

Dian He, Shaowen Wu, Haiping Zhao, Hongyan Qiu, Yang Fu, Xingming Li, Yan He

Abstract readMeta-Analysis
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in Journal of diabetes investigation, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 64 papers, 9 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
64citing papers in PubMed, 9 pooled it
–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

64 citing papers in PubMed, 9 syntheses or guidelines pooled it.

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  4. Association between exposure to ambient air pollution and semen quality in adults: a meta-analysis.Environmental science and pollution research international · 2022
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4 more citing papers are in PubMed but not listed here.

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

7 authors.

Dian HeDepartment of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China.
Shaowen WuBeijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing, China.
Haiping ZhaoDepartment of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China.
Hongyan QiuDepartment of Epidemiology and Health Statistics, School of Public Health, Ningxia Medical University, Yinchuan, China.
Yang FuDepartment of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China.
Xingming LiSchool of Health Administration and Education, Capital Medical University, Beijing, China.
Yan HeDepartment of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

AIMS/

introductionThe present meta-analysis was carried out to assess the association between exposure to the level of atmospheric particulate matter 2.5 (PM2.5; fine particulate matter with aerodynamic diameter less than 2.5 μm) and type 2 diabetes mellitus or gestational diabetes mellitus (GDM). MATERIALS AND

methodsWe searched the Medline, EMBASE, Cochrane and Web of Science databases to obtain articles according to the responding literature search strategies. Among a total of 279 identified articles, 55 were reviewed in depth, of which 10 articles (11 cohort studies) satisfied the inclusion criteria. Only cohort studies that disclosed the association between PM2.5 and type 2 diabetes mellitus or GDM were included in this article. A fixed-effects model was selected if P > 0.1 and I

resultsThe positive associations between PM2.5 and the incidence of type 2 diabetes mellitus were found in the long-term exposure period (relative risk 1.25, 95% confidence interval 1.10-1.43), which showed that with every 10-μg/m

conclusionsLong-term exposure to PM2.5 would be more likely to lead to developing type 2 diabetes mellitus, but more studies would be required to confirm the association between PM2.5 and GDM. It might be a wise to take effective measures to reduce PM2.5 exposure in vulnerable populations, especially for pregnant women.

Indexed as

Cohort StudiesDiabetes, GestationalDiabetes Mellitus, Type 2Environmental ExposureFemaleHumansMaleParticulate MatterPregnancyParticulate MatterDiabetes mellitusMeta-analysisParticulate matter 2.5

Identifiers

PMID28122165
PMCPMC5583950

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.