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Prevalence of poststroke depression in Iranian patients: a systematic review and meta-analysis

BACKGROUND: Poststroke depression (PSD) is the most common and important neuropsychiatric consequences of stroke, which can result in longer hospital stay, compromise the effectiveness of rehabilitation, and reduce the patients’ quality of life. However, Iranian studies have reported different and c...

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Autores principales: Dalvand, Sahar, Gheshlagh, Reza Ghanei, Kurdi, Amanj
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove Medical Press 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6239115/
https://www.ncbi.nlm.nih.gov/pubmed/30519028
http://dx.doi.org/10.2147/NDT.S184905
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author Dalvand, Sahar
Gheshlagh, Reza Ghanei
Kurdi, Amanj
author_facet Dalvand, Sahar
Gheshlagh, Reza Ghanei
Kurdi, Amanj
author_sort Dalvand, Sahar
collection PubMed
description BACKGROUND: Poststroke depression (PSD) is the most common and important neuropsychiatric consequences of stroke, which can result in longer hospital stay, compromise the effectiveness of rehabilitation, and reduce the patients’ quality of life. However, Iranian studies have reported different and conflicting prevalence rates for PSD. OBJECTIVE: The present systematic review and meta-analysis aimed to evaluate the overall prevalence of PSD in Iranian patients. PATIENTS AND METHODS: A systematic search was conducted in 2018 for Persian or English articles on PSD, published in the Scientific Information Database (SID), MagIran, PubMed, Scopus, and Web of Science, using the following keywords: depression, depressive disorder, stroke, cerebrovascular disorder, and Iran and all of their possible combinations. Heterogeneity across the studies was evaluated using the Cochran’s Q test. According to the heterogeneity results, a random effects model was used to estimate the overall prevalence of PSD. The data were analyzed using the Stata 12 software. RESULTS: Overall, six articles with a total sample size of 641 patients were included in the analysis. The overall prevalence of PSD in Iran was 46.9% (95% CI: 30.1–63.7). In addition, the prevalence of PSD was higher in women (50.4%, 95% CI: 17.9–82.9) than in men (29.5%, 95% CI: 17.2–41.8). According to the results of univariate meta-regression, there was a significant relationship between PSD prevalence and sample size (P=0.010). CONCLUSION: Around half of the stroke patients in Iran suffer from PSD. Given the overlap between neurological symptoms of stroke and depression, efforts should be made to quickly and accurately diagnose depression so that it can be effectively managed with minimum complications.
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spelling pubmed-62391152018-12-05 Prevalence of poststroke depression in Iranian patients: a systematic review and meta-analysis Dalvand, Sahar Gheshlagh, Reza Ghanei Kurdi, Amanj Neuropsychiatr Dis Treat Original Research BACKGROUND: Poststroke depression (PSD) is the most common and important neuropsychiatric consequences of stroke, which can result in longer hospital stay, compromise the effectiveness of rehabilitation, and reduce the patients’ quality of life. However, Iranian studies have reported different and conflicting prevalence rates for PSD. OBJECTIVE: The present systematic review and meta-analysis aimed to evaluate the overall prevalence of PSD in Iranian patients. PATIENTS AND METHODS: A systematic search was conducted in 2018 for Persian or English articles on PSD, published in the Scientific Information Database (SID), MagIran, PubMed, Scopus, and Web of Science, using the following keywords: depression, depressive disorder, stroke, cerebrovascular disorder, and Iran and all of their possible combinations. Heterogeneity across the studies was evaluated using the Cochran’s Q test. According to the heterogeneity results, a random effects model was used to estimate the overall prevalence of PSD. The data were analyzed using the Stata 12 software. RESULTS: Overall, six articles with a total sample size of 641 patients were included in the analysis. The overall prevalence of PSD in Iran was 46.9% (95% CI: 30.1–63.7). In addition, the prevalence of PSD was higher in women (50.4%, 95% CI: 17.9–82.9) than in men (29.5%, 95% CI: 17.2–41.8). According to the results of univariate meta-regression, there was a significant relationship between PSD prevalence and sample size (P=0.010). CONCLUSION: Around half of the stroke patients in Iran suffer from PSD. Given the overlap between neurological symptoms of stroke and depression, efforts should be made to quickly and accurately diagnose depression so that it can be effectively managed with minimum complications. Dove Medical Press 2018-11-13 /pmc/articles/PMC6239115/ /pubmed/30519028 http://dx.doi.org/10.2147/NDT.S184905 Text en © 2018 Dalvand et al. This work is published and licensed by Dove Medical Press Limited The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed.
spellingShingle Original Research
Dalvand, Sahar
Gheshlagh, Reza Ghanei
Kurdi, Amanj
Prevalence of poststroke depression in Iranian patients: a systematic review and meta-analysis
title Prevalence of poststroke depression in Iranian patients: a systematic review and meta-analysis
title_full Prevalence of poststroke depression in Iranian patients: a systematic review and meta-analysis
title_fullStr Prevalence of poststroke depression in Iranian patients: a systematic review and meta-analysis
title_full_unstemmed Prevalence of poststroke depression in Iranian patients: a systematic review and meta-analysis
title_short Prevalence of poststroke depression in Iranian patients: a systematic review and meta-analysis
title_sort prevalence of poststroke depression in iranian patients: a systematic review and meta-analysis
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6239115/
https://www.ncbi.nlm.nih.gov/pubmed/30519028
http://dx.doi.org/10.2147/NDT.S184905
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