Evidence map›Paper›PMID 35359498›Full record

ArticleDepression research and treatment2022

Prevalence and Associated Factors of Poststroke Depression among Outpatient Stroke Patients Who Have a Follow-Up at the Outpatient Neurology Clinic of Zewditu Memorial Hospital in Addis Ababa, Ethiopia.

Tsion Yehualashet Wubshet, Sisay Gizaw Geberemichael, Takle Menna Adilo, Temesgen Tantu Arusi, Muluken Gunta Gutulo, Dereje Zewdu Assefa, Mekete Wondesen Asfaw

Open access · hybridAbstract read
In one paragraph

Article in Depression research and treatment, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 4 pooled it
1.1field-weighted citation impact, top 22% 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

9 citing papers in PubMed, 4 syntheses or guidelines pooled it, 11 citations in OpenAlex.

  1. Post-Stroke Depression and Determinants in Ethiopia; A Systematic Review and Meta-Analysis.International journal of methods in psychiatric research · 2026
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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 at 3 institutions in 1 country.

Tsion Yehualashet WubshetSt. Paul's Hospital Millennium Medical College, Addis Ababa, Ethiopia.
Sisay Gizaw GeberemichaelSt. Paul's Hospital Millennium Medical College, Addis Ababa, Ethiopia.
Takle Menna AdiloSt. Paul's Hospital Millennium Medical College, Addis Ababa, Ethiopia.
Temesgen Tantu ArusiWolkite University College of Medicine and Health Sciences, Ethiopia.ORCID https://orcid.org/0000-0002-6808-9166
Muluken Gunta GutuloWolaita Zone Health Department, Ethiopia.ORCID https://orcid.org/0000-0001-6307-0872
Dereje Zewdu AssefaWolkite University College of Medicine and Health Sciences, Ethiopia.ORCID https://orcid.org/0000-0001-9819-1842
Mekete Wondesen AsfawWolkite University College of Medicine and Health Sciences, Ethiopia.
St. Paul's Hospital Millennium Medical College · ETWolkite University · ETAmhara Regional Health Bureau · ET

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Poststroke depression is the most common and burdensome poststroke psychiatric complication. Studies showed discrepancies in reporting frequencies and risk factors for poststroke depression. Updated local data are relevant for efficient strategies of poststroke depression screening and prevention. Objectives: To determine the prevalence and associated factors of poststroke depression among outpatient stroke patients from the outpatient neurology clinic of Zewditu Memorial Hospital in Addis Ababa, Ethiopia. Methods: An institution-based cross-sectional study was conducted on 249 stroke patients. Data was collected through structured questionnaire using interviews and a review of medical charts. PHQ-9 depression questionnaire was used to diagnose poststroke depression. Descriptive analysis was used to see the nature of the characteristics of interests. Bivariate analysis was used to sort out variables at Results: Point prevalence for poststroke depression was 27.5 percent. Female gender, unemployment, low social support level, diabetes mellitus, and poststroke period under 2 years were statistically significant and independent predictors for poststroke depression. Conclusions: The point prevalence estimate of poststroke depression was comparable with other studies. Low social support levels increased the odds for poststroke depression by more than eight folds. It appeared that external factors are more important in the pathogenesis of poststroke depression in the African population. Detection and prevention programs should consider disparities of poststroke depression incidence and risk factors.

Identifiers

PMID35359498
PMCPMC8964203
OpenAlexW4220780765

What OpenQuestion holds

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LicenceCC BY
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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.