Evidence map›Paper›PMID 35976654›Full record

SynthesisJAMA psychiatry2022

Family History of Psychiatric Disorders as a Risk Factor for Maternal Postpartum Depression: A Systematic Review and Meta-analysis.

Mette-Marie Zacher Kjeldsen, Alessio Bricca, Xiaoqin Liu, Vibe G Frokjaer, Kathrine Bang Madsen, Trine Munk-Olsen

Open access · greenAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in JAMA psychiatry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 3 pooled it
6.6field-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

30 citing papers in PubMed, 3 syntheses or guidelines pooled it, 40 citations in OpenAlex.

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  13. Mental Health After Childbirth in Women with Previous Bariatric Surgery: The SPOtMom Pilot Study.Experimental and clinical endocrinology & diabetes : official journal, German Society of Endocrinology [and] German Diabetes Association · 2025
    Observational
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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

6 authors at 4 institutions in 1 country.

Mette-Marie Zacher KjeldsenNational Centre for Register-based Research, Aarhus University, Aarhus, Denmark.
Alessio BriccaResearch Unit for Musculoskeletal Function and Physiotherapy, Department of Sports Science and Clinical Biomechanics, University of Southern Denmark, Odense, Denmark.
Xiaoqin LiuNational Centre for Register-based Research, Aarhus University, Aarhus, Denmark.
Vibe G FrokjaerNeurobiology Research Unit, Copenhagen University Hospital-Rigshospitalet, Copenhagen, Denmark.
Kathrine Bang MadsenNational Centre for Register-based Research, Aarhus University, Aarhus, Denmark.
Trine Munk-OlsenNational Centre for Register-based Research, Aarhus University, Aarhus, Denmark.
Aarhus University · DKMental Health Services · DKRingsted Sygehus · DKUniversity of Southern Denmark · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: Current evidence on the association between family history of psychiatric disorders and postpartum depression is inconsistent; family studies have identified familial risk of postpartum depression, whereas systematic reviews and umbrella reviews, compiling all risk factors for postpartum depression, often have not. Objective: To investigate the association between family history of psychiatric disorders and risk of developing postpartum depression within 12 months post partum. Data Sources: Literature searches were conducted in PubMed, Embase, and PsycINFO in September 2021 and updated in March 2022, accompanied by citation and reference search. Study Selection: Studies eligible for inclusion comprised peer-reviewed cohort and case-control studies reporting an odds ratio (OR) or sufficient data to calculate one for the association between family history of any psychiatric disorder and postpartum depression. Study selection was made by 2 independent reviewers: title and abstract screening followed by full-text screening. Data Extraction and Synthesis: Reporting was performed using the MOOSE checklist. Two reviewers independently extracted predefined information and assessed included studies for risk of bias using the Newcastle-Ottawa Scale. Data were pooled in a meta-analysis using a random-effects model. Heterogeneity was investigated with meta-regression, subgroup, and sensitivity analyses. Publication bias was investigated using a funnel plot, and GRADE (Grading of Recommendations Assessment, Development, and Evaluation) was used to evaluate the overall certainty of the findings. Main Outcomes and Measures: The primary outcome was the pooled association between family history of psychiatric disorders and postpartum depression. Results: A total of 26 studies were included, containing information on 100 877 women. Meta-analysis showed an increased OR of developing postpartum depression when mothers had a family history of psychiatric disorders (OR, 2.08; 95% CI, 1.67-2.59; I2 = 57.14%) corresponding to a risk ratio of 1.79 (95% CI, 1.52-2.09), assuming a 15% postpartum depression prevalence in the general population. Subgroup, sensitivity, and meta-regression analyses were in line with the primary analysis. The overall certainty of evidence was deemed as moderate according to GRADE. Conclusions and Relevance: In this study, there was moderate certainty of evidence for an almost 2-fold higher risk of developing postpartum depression among mothers who have a family history of any psychiatric disorder compared with mothers without.

Indexed as

Depression, PostpartumCase-Control StudiesFemaleHumansMothersRisk Factors

Identifiers

PMID35976654
PMCPMC9386615
OpenAlexW4294308710

What OpenQuestion holds

Textmetadata
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.