Evidence map›Paper›PMID 39342116›Full record

SynthesisBMC neurology2024

Prevalence and associated factors of post-stroke depression in Africa: a systematic review and meta-analysis.

Bekalu Getachew, Abay Mulu

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in BMC neurology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Review
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

2 authors.

Bekalu GetachewInstitute of Health, Department of Biomedical science, Jimma university, Jimma, Ethiopia. bekalugetachew73@gmail.com.
Abay MuluDepartment of Anatomy, School of Medicine, College of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDepressive disorder is considered the most frequent and burdensome mental health complication after stroke. Post-stroke depression is under-recognized in Africa and data remain scarce. These systematic reviews and meta-analyses were, therefore conducted to fill the gap.

methodsAn inclusive review of both published and unpublished articles was conducted. An initial search was conducted in PubMed, African Journal Online, EMBASE, SCOPUS and Google Scholar. Data were extracted using an Excel data format and the analysis was done using STATA version 14 statistical software. The heterogeneity of studies was determined using the Cochrane Q test statistic and I2 test statistics with forest plots. A random effects model was used to examine the pooled prevalence of post-stroke depression and subgroup analysis was conducted for those having significant heterogeneity. Sensitivity analysis and publication bias were also assessed. Pooled odds ratios (ORs) with a 95% confidence interval (CI) were calculated. Results were presented in narratives, tables and forest plots.

resultA total of 25 Articles with 3098 stroke patients from African countries were included to pool the prevalence of post-stroke depression in the meta-analysis. The pooled prevalence of post-stroke depression in Africa at any time was 38.35% [95% CI, 34.07-42.63%]. The pooled estimate for post-stroke depression using clinical diagnostic tools was [38.53%, 95%CI: 34.07-42.63] and (36.81% [32.09-41.52%]) by rating scale. Subgroup analysis by region showed that Central Africa [50.92%, 95% CI: 45.94-55.90] had the highest pooled estimate of depression among stroke survivors with high heterogeneity (92.5%). Female gender, cognitive dysfunction and younger age were found associated in the primary studies but their pooled Odds ratio and overall effect were not significant in the meta-analysis. The pooled estimate of the Odds ratio of physical disability in Africa was 2.02[95% CI, 1.04-3.94] with no heterogeneity but the overall effect was significant (p = 0.038).

conclusionPost-stroke depression was relatively higher in Africa. Central Africa had the highest burden of post-stroke depression followed by West Africa. Physical disability was significantly associated with post-stroke depression in the current meta-analysis.

Indexed as

DepressionStrokeAfricaDepressive DisorderHumansPrevalenceAfricaAssociated factorsPost-stroke depressionPrevalence

Identifiers

PMID39342116
PMCPMC11438399

What OpenQuestion holds

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Registered trials

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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.