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Anemia and its predictors among chronic kidney disease patients in Sub-Saharan African countries: A systematic review and meta-analysis
INTRODUCTION: Anemia is a serious complication of chronic kidney disease (CKD) with a significant adverse outcome on the burden and progression of the disease. Hence, the study intended to assess the pooled prevalence of anemia and its predictors among CKD patients in Sub-Saharan African nations. ME...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9894480/ https://www.ncbi.nlm.nih.gov/pubmed/36730249 http://dx.doi.org/10.1371/journal.pone.0280817 |
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author | Taderegew, Mitku Mammo Wondie, Alemayehu Terefe, Tamene Fetene Tarekegn, Tadesse Tsehay GebreEyesus, Fisha Alebel Mengist, Shegaw Tesfa Amlak, Baye Tsegaye Emeria, Mamo Solomon Timerga, Abebe Zegeye, Betregiorgis |
author_facet | Taderegew, Mitku Mammo Wondie, Alemayehu Terefe, Tamene Fetene Tarekegn, Tadesse Tsehay GebreEyesus, Fisha Alebel Mengist, Shegaw Tesfa Amlak, Baye Tsegaye Emeria, Mamo Solomon Timerga, Abebe Zegeye, Betregiorgis |
author_sort | Taderegew, Mitku Mammo |
collection | PubMed |
description | INTRODUCTION: Anemia is a serious complication of chronic kidney disease (CKD) with a significant adverse outcome on the burden and progression of the disease. Hence, the study intended to assess the pooled prevalence of anemia and its predictors among CKD patients in Sub-Saharan African nations. METHODS: To identify the relevant studies systematic searches were carried out in Medline, EMBASE, HINARI, Google Scholar, Science Direct, and Cochrane Library. From selected studies, data were taken out with a standardized data extraction format prepared in Microsoft Excel. Inverse variance (I(2)) tests were employed to evaluate the heterogeneity across the included studies. Due to substantial heterogeneity among the studies, a random-effects meta-analysis technique was employed to estimate the pooled prevalence of anemia. Subgroup analysis, sensitivity analysis, and meta-regression analysis were carried out to search the possible bases of heterogeneity. Funnel plot symmetry, Begg’s test, and Egger’s regression test were employed to assess the existence of publication bias. In addition, factors associated with anemia among CKD patients were examined. All statistical analyses were carried out with STATA™ Version 14 software. RESULTS: A total of 25 studies with 5042 study participants were considered in this study. The pooled prevalence of anemia among CKD patients was estimated to be 59.15% (95% CI, 50.02–68.27) with a substantial level of heterogeneity as evidenced by I(2) statistics (I2 = 98.1%; p < 0.001). Stage of CKD (3–5) (pooled odds ratio (POR) = 5.33, 95% CI:4.20–6.76), presence of diabetes mellitus (POR = 1.75, 95% CI: 1.10–2.78), hemodialysis history (POR = 3.06, 95% CI: 1.63–5.73), and female sex (POR = 2.50, 95% CI: 1.76–3.55) were significantly related with anemia. CONCLUSIONS: More than half of CKD patients were suffering from anemia. Stage of CKD, presence of DM, hemodialysis history, and being female sex were factors associated with anemia among CKD patients. |
format | Online Article Text |
id | pubmed-9894480 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-98944802023-02-03 Anemia and its predictors among chronic kidney disease patients in Sub-Saharan African countries: A systematic review and meta-analysis Taderegew, Mitku Mammo Wondie, Alemayehu Terefe, Tamene Fetene Tarekegn, Tadesse Tsehay GebreEyesus, Fisha Alebel Mengist, Shegaw Tesfa Amlak, Baye Tsegaye Emeria, Mamo Solomon Timerga, Abebe Zegeye, Betregiorgis PLoS One Research Article INTRODUCTION: Anemia is a serious complication of chronic kidney disease (CKD) with a significant adverse outcome on the burden and progression of the disease. Hence, the study intended to assess the pooled prevalence of anemia and its predictors among CKD patients in Sub-Saharan African nations. METHODS: To identify the relevant studies systematic searches were carried out in Medline, EMBASE, HINARI, Google Scholar, Science Direct, and Cochrane Library. From selected studies, data were taken out with a standardized data extraction format prepared in Microsoft Excel. Inverse variance (I(2)) tests were employed to evaluate the heterogeneity across the included studies. Due to substantial heterogeneity among the studies, a random-effects meta-analysis technique was employed to estimate the pooled prevalence of anemia. Subgroup analysis, sensitivity analysis, and meta-regression analysis were carried out to search the possible bases of heterogeneity. Funnel plot symmetry, Begg’s test, and Egger’s regression test were employed to assess the existence of publication bias. In addition, factors associated with anemia among CKD patients were examined. All statistical analyses were carried out with STATA™ Version 14 software. RESULTS: A total of 25 studies with 5042 study participants were considered in this study. The pooled prevalence of anemia among CKD patients was estimated to be 59.15% (95% CI, 50.02–68.27) with a substantial level of heterogeneity as evidenced by I(2) statistics (I2 = 98.1%; p < 0.001). Stage of CKD (3–5) (pooled odds ratio (POR) = 5.33, 95% CI:4.20–6.76), presence of diabetes mellitus (POR = 1.75, 95% CI: 1.10–2.78), hemodialysis history (POR = 3.06, 95% CI: 1.63–5.73), and female sex (POR = 2.50, 95% CI: 1.76–3.55) were significantly related with anemia. CONCLUSIONS: More than half of CKD patients were suffering from anemia. Stage of CKD, presence of DM, hemodialysis history, and being female sex were factors associated with anemia among CKD patients. Public Library of Science 2023-02-02 /pmc/articles/PMC9894480/ /pubmed/36730249 http://dx.doi.org/10.1371/journal.pone.0280817 Text en © 2023 Taderegew et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Taderegew, Mitku Mammo Wondie, Alemayehu Terefe, Tamene Fetene Tarekegn, Tadesse Tsehay GebreEyesus, Fisha Alebel Mengist, Shegaw Tesfa Amlak, Baye Tsegaye Emeria, Mamo Solomon Timerga, Abebe Zegeye, Betregiorgis Anemia and its predictors among chronic kidney disease patients in Sub-Saharan African countries: A systematic review and meta-analysis |
title | Anemia and its predictors among chronic kidney disease patients in Sub-Saharan African countries: A systematic review and meta-analysis |
title_full | Anemia and its predictors among chronic kidney disease patients in Sub-Saharan African countries: A systematic review and meta-analysis |
title_fullStr | Anemia and its predictors among chronic kidney disease patients in Sub-Saharan African countries: A systematic review and meta-analysis |
title_full_unstemmed | Anemia and its predictors among chronic kidney disease patients in Sub-Saharan African countries: A systematic review and meta-analysis |
title_short | Anemia and its predictors among chronic kidney disease patients in Sub-Saharan African countries: A systematic review and meta-analysis |
title_sort | anemia and its predictors among chronic kidney disease patients in sub-saharan african countries: a systematic review and meta-analysis |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9894480/ https://www.ncbi.nlm.nih.gov/pubmed/36730249 http://dx.doi.org/10.1371/journal.pone.0280817 |
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