Evidence map›Paper›PMID 25058491›Full record

SynthesisPloS one2014

A meta-analysis of parental smoking and the risk of childhood brain tumors.

Yi Huang, Jianrong Huang, Huan Lan, GuanYan Zhao, ChunZhen Huang

Open access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 4 pooled it
1.9field-weighted citation impact, top 14% 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

12 citing papers in PubMed, 4 syntheses or guidelines pooled it, 25 citations in OpenAlex.

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  7. Epidemiology beyond its limits.Science advances · 2022
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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.

Yi HuangDepartment of Neurosurgery, Guangxi Minzu Hospital, Nanning, Guangxi Province, China.
Jianrong HuangDepartment of Neurosurgery, Guangxi Minzu Hospital, Nanning, Guangxi Province, China.
Huan LanDepartment of Neurosurgery, Guangxi Minzu Hospital, Nanning, Guangxi Province, China.
GuanYan ZhaoDepartment of Neurosurgery, Guangxi Minzu Hospital, Nanning, Guangxi Province, China.
ChunZhen HuangDepartment of Neurosurgery, Guangxi Minzu Hospital, Nanning, Guangxi Province, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivePrevious studies regarding the association between parental smoking and the risk of childhood brain tumors (CBT) have reported inconsistent results. We performed a meta-analysis to summarize evidence on this association and to quantify the potential dose-response relationship.

methodsA systematic literature search was conducted in the Medline and Embase databases. The summary relative risks (RRs) with 95% confidence intervals (CIs) were calculated. Dose-response meta-analysis was also performed for studies that reported categorical risk estimates for a series of smoking exposure levels.

resultsA total of 17 studies fulfilled the inclusion criteria. In the meta-analyses, the summary RRs (95% CIs) of CBT for maternal smoking during pregnancy, paternal smoking during pregnancy, maternal smoking before pregnancy, and paternal smoking before pregnancy were 0.96 (0.86-1.07), 1.09 (0.97-1.22), 0.93 (0.85-1.00), and 1.09 (1.00-1.20), respectively. Dose-response meta-analysis also showed no significant association between parental smoking and the risk of CBT.

conclusionsFindings from our meta-analysis indicate that parental smoking may not be associated with a risk of CBT.

Indexed as

Brain NeoplasmsChildFemaleHumansMaleMaternal ExposurePaternal ExposurePregnancyPrenatal Exposure Delayed EffectsRiskSmoking

Identifiers

PMID25058491
PMCPMC4109951
OpenAlexW1987748753

What OpenQuestion holds

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LicenceCC BY
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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.