ArticleBMJ open2015
Diagnostic accuracy of the Edinburgh Postnatal Depression Scale (EPDS) for detecting major depression in pregnant and postnatal women: protocol for a systematic review and individual patient data meta-analyses.
Article in BMJ open, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 7 of them syntheses that pooled 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.
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.
Who cites it
25 citing papers in PubMed, 7 syntheses or guidelines pooled it.
- An empirical comparison of statistical methods for multiple cut-off diagnostic test accuracy meta-analysis of the Edinburgh postnatal depression scale (EPDS) depression screening tool using published results vs individual participant data.BMC medical research methodology · 2024Pooled it
- Individual participant data meta-analysis to compare EPDS accuracy to detect major depression with and without the self-harm item.Scientific reports · 2023Pooled it
- Selective cutoff reporting in studies of the accuracy of the Patient Health Questionnaire-9 and Edinburgh Postnatal Depression Scale: Comparison of results based on published cutoffs versus all cutoffs using individual participant data meta-analysis.International journal of methods in psychiatric research · 2021Pooled it
- Depression prevalence based on the Edinburgh Postnatal Depression Scale compared to Structured Clinical Interview for DSM DIsorders classification: Systematic review and individual participant data meta-analysis.International journal of methods in psychiatric research · 2021Pooled it
- Overestimation of Postpartum Depression Prevalence Based on a 5-item Version of the EPDS: Systematic Review and Individual Participant Data Meta-analysis.Canadian journal of psychiatry. Revue canadienne de psychiatrie · 2020Pooled it
- Accuracy of the Edinburgh Postnatal Depression Scale (EPDS) for screening to detect major depression among pregnant and postpartum women: systematic review and meta-analysis of individual participant data.BMJ (Clinical research ed.) · 2020Pooled it
- Comparison of major depression diagnostic classification probability using the SCID, CIDI, and MINI diagnostic interviews among women in pregnancy or postpartum: An individual participant data meta-analysis.International journal of methods in psychiatric research · 2019Pooled it
- Progesterone and Postpartum Smoking Relapse: A Pilot Double-Blind Placebo-Controlled Randomized Trial.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2016Trial
- Magnitude of antenatal depression and associated factors among pregnant women attending antenatal care at public health facilities in Chelia Ditrict, West Shoa Zone, Oromia, Ethiopia.Reproductive health · 2026Article
- Psychosocial experiences of pregnant and postpartum women living with HIV in Ibadan, Oyo State.BMC public health · 2025Article
- Is there a correlation between prepartum anaemia and an increased likelihood of developing postpartum depression? A prospective observational study.Archives of gynecology and obstetrics · 2024Observational
- Modeling the relationship between maternal health and infant behavioral characteristics based on machine learning.PloS one · 2024Article
- Association of Postpartum Depression with Maternal Serum Magnesium Levels, Infant Growth, and Neurodevelopmental Indices.International journal of preventive medicine · 2024Article
- Patterns of attentional bias in antenatal depression: an eye-tracking study.Frontiers in behavioral neuroscience · 2023Article
- Implementation of a pilot electronic parent support tool in and after neonatal intensive care unit discharge.Journal of perinatology : official journal of the California Perinatal Association · 2022Article
- Children Exposed to IPV: Impact of Multiple Father Figures.Maternal and child health journal · 2021Article
- Article
- Probability of Major Depression Classification Based on the SCID, CIDI, and MINI Diagnostic Interviews: A Synthesis of Three Individual Participant Data Meta-Analyses.Psychotherapy and psychosomatics · 2021Article
- Perinatal mental health: a review of progress and challenges.World psychiatry : official journal of the World Psychiatric Association (WPA) · 2020Article
- Screening of postpartum depression among new mothers in Istanbul: a psychometric evaluation of the Turkish Edinburgh Postnatal Depression Scale.BMC research notes · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
19 authors.
Funding
Abstract
introductionStudies of the diagnostic accuracy of depression screening tools often used data-driven methods to select optimal cut-offs. Typically, these studies report results from a small range of cut-off points around whatever cut-off score is identified as most accurate. When published data are combined in meta-analyses, estimates of accuracy for different cut-off points may be based on data from different studies, rather than data from all studies for each cut-off point. Thus, traditional meta-analyses may exaggerate accuracy estimates. Individual patient data (IPD) meta-analyses synthesise data from all studies for each cut-off score to obtain accuracy estimates. The 10-item Edinburgh Postnatal Depression Scale (EPDS) is commonly recommended for depression screening in the perinatal period. The primary objective of this IPD meta-analysis is to determine the diagnostic accuracy of the EPDS to detect major depression among women during pregnancy and in the postpartum period across all potentially relevant cut-off scores, accounting for patient factors that may influence accuracy (age, pregnancy vs postpartum). METHODS AND ANALYSIS: Data sources will include Medline, Medline In-Process & Other Non-Indexed Citations, PsycINFO, and Web of Science. Studies that include a diagnosis of major depression based on a validated structured or semistructured clinical interview administered within 2 weeks of (before or after) the administration of the EPDS will be included. Risk of bias will be assessed with the Quality Assessment of Diagnostic Accuracy Studies-2 tool. Bivariate random-effects meta-analysis will be conducted for the full range of plausible cut-off values. Analyses will evaluate data from pregnancy and the postpartum period separately, as well as combining data from all women in a single model. ETHICS AND DISSEMINATION: This study does not require ethics approval. Dissemination will include journal articles and presentations to policymakers, healthcare providers and researchers. SYSTEMATIC REVIEW REGISTRATION: PROSPERO 2015:CRD42015024785.
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Registered trials
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