Evidence map›Paper›PMID 34211407›Full record

ReviewFrontiers in psychiatry2021

Postpartum Depression: Current Status and Possible Identification Using Biomarkers.

Yi Yu, Hong-Feng Liang, Jing Chen, Zhi-Bin Li, Yu-Shuai Han, Jia-Xi Chen, Ji-Cheng Li

Abstract readReview
In one paragraph

Review in Frontiers in psychiatry, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 2 pooled it
–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

35 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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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

7 authors.

Yi YuCentral Laboratory, Yangjiang People's Hospital, Yangjiang, China.
Hong-Feng LiangCentral Laboratory, Yangjiang People's Hospital, Yangjiang, China.
Jing ChenCentral Laboratory, Yangjiang People's Hospital, Yangjiang, China.
Zhi-Bin LiCentral Laboratory, Yangjiang People's Hospital, Yangjiang, China.
Yu-Shuai HanCentral Laboratory, Yangjiang People's Hospital, Yangjiang, China.
Jia-Xi ChenCentral Laboratory, Yangjiang People's Hospital, Yangjiang, China.
Ji-Cheng LiCentral Laboratory, Yangjiang People's Hospital, Yangjiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Postpartum depression (PPD) is a serious health issue that can affect about 15% of the female population within after giving birth. It often conveys significant negative consequences to the offsprings. The symptoms and risk factors are somewhat similar to those found in non-postpartum depression. The main difference resides in the fact that PPD is triggered by postpartum specific factors, including especially biological changes in the hormone levels. Patients are usually diagnosed using a questionnaire onsite or in a clinic. Treatment of PPD often involves psychotherapy and antidepressant medications. In recent years, there have been more researches on the identification of biological markers for PPD. In this review, we will focus on the current research status of PPD, with an emphasis on the recent progress made on the identification of PPD biomarkers.

Indexed as

biological markersbiomarkersmulti-omicspostnatal depressionpostpartum depression

Identifiers

PMID34211407
PMCPMC8240635

What Socratic 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 Socratic graph.