Evidence map›Paper›PMID 36449499›Full record

ArticlePloS one2022

A network meta-analysis of 12,116 individuals from randomized controlled trials in the treatment of depression after acute coronary syndrome.

Grace En Hui Lim, Ansel Tang, Yip Han Chin, Jie Ning Yong, Darren Tan, Phoebe Tay, Yu Yi Chan, Denzel Ming Wei Lim, Jun Wei Yeo, Kai En Chan and 8 more

Open access · goldAbstract readNetwork Meta-Analysis
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.1field-weighted citation impact, top 20% 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

2 citing papers in PubMed, 7 citations in OpenAlex.

  1. Review
  2. 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

18 authors at 4 institutions in 1 country.

Grace En Hui LimLee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore.
Ansel TangYong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
Yip Han ChinYong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.ORCID 0000-0002-8417-5996
Jie Ning YongYong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
Darren TanYong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
Phoebe TayYong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
Yu Yi ChanYong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
Denzel Ming Wei LimYong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
Jun Wei YeoYong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
Kai En ChanYong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
Kamala DeviAlice Lee Centre for Nursing Studies, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
Colin Eng Choon OngDepartment of Emergency Medicine, Ng Teng Fong General Hospital, Singapore, Singapore.
Roger S Y FooYong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
Huay-Cheem TanYong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
Mark Y ChanYong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
Roger HoDepartment of Psychological Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
Poay Huan LohYong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
Nicholas W S ChewDepartment of Cardiology, National University Heart Centre, National University Hospital, Singapore, Singapore.
National University of Singapore · SGNanyang Technological University · SGNational University Heart Centre Singapore · SGNg Teng Fong General Hospital · SG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPost-acute coronary syndrome (ACS) depression is a common but not well understood complication experienced by ACS patients. Research on the effectiveness of various therapies remains limited. Hence, we sought to conduct a network meta-analysis to assess the efficacy of different interventions for post-ACS depression in improving patient outcomes. METHODS AND

findingsThree electronic databases were searched for randomised controlled trials describing different depression treatment modalities in post-ACS patients. Each article was screened based on inclusion criteria and relevant data were extracted. A bivariate analysis and a network meta-analysis was performed using risk ratios (RR) and standardized mean differences (SMD) for binary and continuous outcomes, respectively. A total of 30 articles were included in our analysis. Compared to standard care, psychosocial therapy was associated with the greatest reduction in depression scores (SMD:-1.21, 95% CI: -1.81 to -0.61, p<0.001), followed by cognitive behavioural therapy (CBT) (SMD: -0.75, 95% CI: -0.99 to -0.52, p<0.001), antidepressants (SMD: -0.73, 95% CI: -1.14 to -0.31, p<0.001), and lastly, combination therapy (SMD: -0.15, 95% CI: -0.28 to -0.03, p = 0.016). No treatment modalities was found to be more effective in reducing depression scores when compared to one another. Additional analysis showed that these treatment modalities did not have significant impact on the overall mortality, cardiac mortality and recurrent myocardial infarction.

conclusionThis network meta-analysis found that the treatment effect of the various psychological modalities on depression severity were similar. Future trials on psychological interventions assessing clinical outcomes and improvement in adherence to ACS-specific interventions are needed.

Indexed as

Acute Coronary SyndromeCombined Modality TherapyDepressionHumansRandomized Controlled Trials as Topic

Identifiers

PMID36449499
PMCPMC9710843
OpenAlexW4310434289

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.