Evidence map›Paper›PMID 33373101›Full record

SynthesisNursing open2021

Internet-based interventions for postpartum depression: A systematic review and meta-analysis.

Ting-Yu Mu, Yu-Hong Li, Ri-Xiang Xu, Jun Chen, Ya-Ya Wang, Cui-Zhen Shen

Erratum issuedOpen access · goldAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Nursing open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 26 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 6 pooled it
5.2field-weighted citation impact, top 4% 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

26 citing papers in PubMed, 6 syntheses or guidelines pooled it, 57 citations in OpenAlex.

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  11. Using YouTube Comments Data to Explore Postpartum Depression in Social Media: An Infodemiology Study.International journal of environmental research and public health · 2024
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 4 institutions in 1 country.

Ting-Yu MuSchool of Nursing, Zhejiang Chinese Medical University, Hangzhou, China.ORCID 0000-0001-6348-9833
Yu-Hong LiNursing College, Anhui Medical University, Hefei, China.
Ri-Xiang XuSchool of Pharmacy, Hangzhou Medical College, Hangzhou, China.
Jun ChenSir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Ya-Ya WangSir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Cui-Zhen ShenSchool of Nursing, Zhejiang Chinese Medical University, Hangzhou, China.
Sir Run Run Shaw Hospital · CNZhejiang Chinese Medical University · CNAnhui Medical University · CNHangzhou Medical College · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimTo determine the efficacy of Internet-based interventions in decreasing the prevalence of postpartum depression in perinatal women.

designThis review was conducted according to the standards outlined in the Preferred Reporting Items for Systematic Reviews and Meta-Analyses statement.

methodsWe performed a systematic meta-analysis of randomized controlled trials on the efficacy of Internet-based interventions for postpartum depression. Studies (2008-2018) were identified through a search conducted on PubMed, EMBASE and the Cochrane Library. Risk ratios or weighted mean differences with 95% confidence intervals were calculated using a fixed-effects model or a random-effects model. Stata software 11.0 was used to perform the meta-analysis.

resultsMost of the seven eligible studies were randomized controlled trials. The random-effects model indicated that Internet-based interventions significantly improved postpartum depression (d = 0.642, N = 7). Attrition rates ranged from 4.5%-86.9% and from 0%-87.1% for the intervention and control groups, respectively.

Indexed as

Depression, PostpartumInternet-Based InterventionFemaleHumansParturitionPregnancydepressioninternetliterature reviewnursingperinatalpostpartumpregnancysystematic review and meta-analysis

Identifiers

PMID33373101
PMCPMC8046152
OpenAlexW3116561146

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.