Evidence map›Paper›PMID 39186106›Full record

ReviewDer Nervenarzt2025

[Prediction and timely identification of postpartum depression: results of the longitudinal RiPoD study in the context of the literature].

Susanne Nehls, Juergen Dukart, Christian Enzensberger, Elmar Stickeler, Simon B Eickhoff, Natalia Chechko

Abstract readEnglish AbstractReview
In one paragraph

Review in Der Nervenarzt, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. Article
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.

Susanne NehlsKlinik für Psychiatrie, Psychotherapie and Psychosomatik, Uniklinik RWTH Aachen, Deutschland. snehls@ukaachen.de.
Juergen DukartInstitute of Neuroscience and Medicine, Brain & Behavior (INM-7), Forschungszentrum Jülich, Jülich, Deutschland.
Christian EnzensbergerKlinik für Gynäkologie und Geburtshilfe, Uniklinik RWTH Aachen, Aachen, Deutschland.
Elmar StickelerKlinik für Gynäkologie und Geburtshilfe, Uniklinik RWTH Aachen, Aachen, Deutschland.
Simon B EickhoffInstitute of Neuroscience and Medicine, Brain & Behavior (INM-7), Forschungszentrum Jülich, Jülich, Deutschland.
Natalia ChechkoKlinik für Psychiatrie, Psychotherapie and Psychosomatik, Uniklinik RWTH Aachen, Deutschland. nchechko@ukaachen.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The first 4-6 weeks after childbirth are defined as the onset time for postpartum depression (PPD). Despite this known time frame there are significant gaps in the identification and treatment of PPD. The risk for postpartum depression (RiPoD) study investigated specific risk factors and predictors of postpartum psychological adjustment processes and the results are presented within the framework of a state of the art review of research. The dynamic neuroplastic changes in the maternal brain during pregnancy and the postpartum period appear to be closely linked to peripartum hormone fluctuations, which jointly influence the development of postpartum mood disorders. Hormonal risk factors such as baby blues and premenstrual syndrome have been found to have a bearing on PPD. The combination of these two factors predicts the risk of PPD with 83% sensitivity within the first week postpartum. Follow-up digital monitoring of symptom development in the first 6 weeks postpartum has enabled an accurate identification of women with PPD. Understanding the interaction between hormone fluctuations, neuroplasticity and psychiatric disorders should be an important target for future research. Early identification and diagnosis of PPD can be easily integrated into the clinical routine and everyday life.

Indexed as

Depression, PostpartumAdultEarly DiagnosisEvidence-Based MedicineFemaleHumansLongitudinal StudiesPregnancyPrognosisRisk FactorsBrain imagingDepressionLongitudinalPostpartumPrediction

Identifiers

PMID39186106
PMCPMC11876219

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.