Evidence map›Paper›PMID 23922856›Full record

SynthesisPloS one2013

Passive smoking and risk of type 2 diabetes: a meta-analysis of prospective cohort studies.

Ying Wang, Jie Ji, Yu-jian Liu, Xuan Deng, Qi-qiang He

Open access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 11 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 11 pooled it
6.3field-weighted citation impact, top 3% of its field
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

36 citing papers in PubMed, 11 syntheses or guidelines pooled it, 71 citations in OpenAlex.

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  9. A Meta-Analysis of Maternal Smoking during Pregnancy and Autism Spectrum Disorder Risk in Offspring.International journal of environmental research and public health · 2015
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  11. Serum cotinine levels and diabetes mellitus in never smokers.Journal of diabetes and its complications
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  13. Risk of progression from pre-diabetes to type 2 diabetes in a large UK adult cohort.Diabetic medicine : a journal of the British Diabetic Association · 2023
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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

5 authors at 1 institution in 1 country.

Ying WangSchool of Public Health, Wuhan University, Wuhan, PR China.
Jie Ji
Yu-jian Liu
Xuan Deng
Qi-qiang He
Wuhan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUNDS/

objectiveThe prevalence of diabetes is increasing rapidly all over the world. However, studies on passive smoking and type 2 diabetes have not been systematically assessed. Therefore, we conducted a meta-analysis to explore whether an association exists between passive smoking and risk of type 2 diabetes.

methodsWe searched PubMed, EMBASE, Cochrane library and Web of Science up to April 9(th), 2013, to identify prospective cohort studies that assessed passive smoking and risk of type 2 diabetes. The fixed-effect model was used to calculate the overall relative risk (RR).

result4 prospective cohort studies were included for analysis, with a total of 112,351 participants involved. The pooled RR was 1.28 (95% confidence interval (CI) 1.14 to 1.44) comparing those who were exposed to passive smoking with those who were not. Subgroup, sensitivity analysis and publication bias test suggested the overall result of this analysis was robust.

conclusionsPassive smoking is associated with a significantly increased risk of type 2 diabetes. Further well-designed studies are warranted to confirm this association.

Indexed as

Diabetes Mellitus, Type 2HumansMaleProspective StudiesPublication BiasPubMedRisk FactorsTobacco Smoke PollutionTobacco Smoke Pollution

Identifiers

PMID23922856
PMCPMC3724674
OpenAlexW2127246236

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.