Evidence map›Paper›PMID 42478229›Full record

SynthesisPsychological medicine2026

Ranking psychological interventions for post-stroke depression: A systematic review and network meta-analysis.

Xuerong Cao, Rong Chen, Yingying Qu, Yating Ban, Qi Zhang

Abstract readNetwork Meta-AnalysisSystematic Review
In one paragraph

Synthesis in Psychological medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Xuerong CaoSchool of Nursing, https://ror.org/0064kty71Sun Yat-sen University, Guangzhou, China.
Rong ChenDeyang People's Hospital, Deyang, China.
Yingying QuDepartment of Neurology, https://ror.org/01px77p81Sun Yat-Sen Memorial Hospital, Guangzhou, China.
Yating BanSchool of Nursing, https://ror.org/0064kty71Sun Yat-sen University, Guangzhou, China.
Qi ZhangSchool of Nursing, https://ror.org/0064kty71Sun Yat-sen University, Guangzhou, China.ORCID 0000-0002-2685-7681

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPost-stroke depression (PSD) is the most common neuropsychological complication in stroke survivors. While psychological interventions are promising non-pharmacological treatments, the most effective intervention type, as well as their mid- to long-term efficacy and effectiveness across PSD severity levels, remains unclear. This study aims to compare the efficacy of psychological interventions for PSD, focusing on overall effectiveness, mid- to long-term efficacy, and effectiveness across PSD severity levels.

methodsWe systematically searched seven databases for randomized controlled trials (RCTs) of psychological interventions targeting depression in stroke survivors. The primary outcome was depression symptom reduction. Post-intervention, mid- to long-term data were analyzed. A frequentist network meta-analysis (NMA) with random effects was conducted in Stata 17.0. Subgroup analyses by PSD severity were performed.

resultsThirty-eight RCTs involving 3106 participants were included. Post-intervention, third-wave therapies (Hedges'

conclusionsThird-wave therapies are potentially effective for PSD, showing sustained mid- to long-term benefits. Relaxation therapy seems to be most effective for mild PSD, while no significant effects were observed for moderate-to-severe PSD. However, the NMA showed high heterogeneity and generally low to very low evidence certainty for most comparisons, the findings should be interpreted with caution.

Indexed as

DepressionPsychosocial InterventionPsychotherapyStrokeHumansRandomized Controlled Trials as Topicdepressionnetwork meta-analysispost-strokepsychological interventions

Identifiers

PMID42478229
PMCPMC13434865

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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.