Evidence map›Paper›PMID 35086502›Full record

SynthesisBMC psychiatry2022

Risk factors of perinatal depression in women: a systematic review and meta-analysis.

Kai Yang, Jing Wu, Xiangdong Chen

Open access · goldAbstract readMeta-AnalysisSystematic Review
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in BMC psychiatry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 80 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
80citing papers in PubMed, 7 pooled it
24.3field-weighted citation impact, top 1% 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

80 citing papers in PubMed, 7 syntheses or guidelines pooled it, 136 citations in OpenAlex.

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20 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

3 authors at 2 institutions in 1 country.

Kai YangDepartment of Anesthesiology, Union Hospital, Tongji Medical College Huazhong University of Science and Technology, Wuhan, 430022, China.
Jing WuDepartment of Anesthesiology, Union Hospital, Tongji Medical College Huazhong University of Science and Technology, Wuhan, 430022, China.
Xiangdong ChenDepartment of Anesthesiology, Union Hospital, Tongji Medical College Huazhong University of Science and Technology, Wuhan, 430022, China. xdchen@hust.edu.cn.
Huazhong University of Science and Technology · CNUnion Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPerinatal depression in women is associated with high morbidity and mortality, and has attracted increasing attention. The investigation of risk factors of perinatal depression in women may contribute to the early identification of depressed or depression-prone women in clinical practice. MATERIAL AND

methodsA computerized systematic literature search was made in Cochrane Library, PubMed, Web of Science, and EMBASE from January 2009 to October 2021. All included articles were published in English, which evaluated factors influencing perinatal depression in women. Based on the recommendations of the Cochrane Collaboration protocols, Review Manager 5.3 was used as a statistical platform.

resultsThirty-one studies with an overall sample size of 79,043 women were included in the review. Educational level (P = 0.0001, odds ratio [OR]: 1.40, 95% CI: [1.18,1.67]), economic status of families (P = 0.0001, OR: 1.69, 95%CI: [1.29,2.22]), history of mental illness (P < 0.00001, OR: 0.29, 95% CI: [0.18, 0.47]), domestic violence (P < 0.00001, OR: 0.24, 95% CI: [0.17,0.34]), perinatal smoking or drinking (P = 0.005, OR: 0.63; 95% CI [0.45, 0.87]; P = 0.008, OR: 0.43, 95% CI, [0.23 to 0.80]; respectively), and multiparity(P = 0.0003, OR: 0.74, 95% CI: [0.63, 0.87]) were correlated with perinatal depression in women. The stability of our pooled results was verified by sensitivity analysis and publication bias was not observed based on funnel plot results.

conclusionLower educational level, poor economic status of families, history of mental illness, domestic violence, perinatal smoking or drinking, and multiparity serve as risk factors of perinatal depression in women.

Indexed as

Depressive DisorderDomestic ViolenceDepressionFemaleHumansParturitionPregnancyRisk FactorsMeta-analysisPerinatal CarePerinatal depressionRisk factors

Identifiers

PMID35086502
PMCPMC8793194
OpenAlexW4210815185

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.