Prevalence of thyroid dysfunction among pregnant women in the horn of Africa: A systematic review and Meta-analysis
Background: Thyroid dysfunction ranks among the most prevalent endocrine disorders. This disorder during pregnancy has been linked to adverse effects on both the mother and the baby. However, there is a scarcity of data and inconsistent documentation regarding thyroid issues in pregnant women in low...
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Elsevier
2024-09-01
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| Series: | Endocrine and Metabolic Science |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S266639612400044X |
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| author | Marye Nigatie Getinet Kumie Abdu Jemal Solomon Gedfie Woldeteklehaymanot Kassahun Muluken Gashaw Agenagnew Ashagre Tadesse Misganaw Wagaw Abebe Ermias Getachew Selamyhun Tadesse Zelalem Dejazmach Sisay Ayana Yalewayker Gashaw Zelalem Asmare Assefa Sisay Atitegeb Abera Biruk Beletew Abate Melese Abate Reta |
| author_facet | Marye Nigatie Getinet Kumie Abdu Jemal Solomon Gedfie Woldeteklehaymanot Kassahun Muluken Gashaw Agenagnew Ashagre Tadesse Misganaw Wagaw Abebe Ermias Getachew Selamyhun Tadesse Zelalem Dejazmach Sisay Ayana Yalewayker Gashaw Zelalem Asmare Assefa Sisay Atitegeb Abera Biruk Beletew Abate Melese Abate Reta |
| author_sort | Marye Nigatie |
| collection | DOAJ |
| description | Background: Thyroid dysfunction ranks among the most prevalent endocrine disorders. This disorder during pregnancy has been linked to adverse effects on both the mother and the baby. However, there is a scarcity of data and inconsistent documentation regarding thyroid issues in pregnant women in low-income nations. Objective: The aim of this systematic review and meta-analysis was to determine the general prevalence of thyroid disorders in pregnant women. Methods: To identify relevant studies, a comprehensive search was conducted across Scopus, PubMed, Science Direct databases, and Google Scholar and repository registers from January 1, 2000 to December 31, 2023. Ten pertinent publications were chosen for the final meta-analysis. Relevant data was extracted using Microsoft Excel and analyzed using STATA software version 17, employing a random-effect model. Sensitivity analysis was conducted to evaluate each study's impact on the outcome, and Egger's test was utilized to detect publication bias. A trim-and-fill analysis was executed to adjust for bias in the effect estimate. Heterogeneity across studies was assessed using Cochran's Q statistic and I2 statistics. Subgroup analysis was carried by study design, country and publication year. Results: In this systematic review and meta-analysis, the prevalence of thyroid dysfunction among 2538 pregnant women was 12.0 % (95 % CI: 8.00 %–17.00 %). To account for the significant heterogeneity observed, a random effect model was utilized. Specifically, the prevalence of hypothyroidism in pregnant women was determined to be 10.00 % (95 % CI: 4.00–16.00 %) with a high level of heterogeneity (I2 = 94.27 %, p < 0.001). Notably, the sensitivity analysis conducted did not reveal any substantial impact on the overall pooled prevalence of thyroid dysfunction. Conclusion: The meta-analysis revealed a significantly higher rate of thyroid disorders among pregnant women compared to global estimates. To assess the effects of treating thyroid conditions on pregnancy outcomes and inform clinical decisions, it is recommended to implement cost-effective thyroid-stimulating hormone screening during pregnancy. |
| format | Article |
| id | doaj-art-bec4840403a94decaf9caedeb7cd0203 |
| institution | OA Journals |
| issn | 2666-3961 |
| language | English |
| publishDate | 2024-09-01 |
| publisher | Elsevier |
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| series | Endocrine and Metabolic Science |
| spelling | doaj-art-bec4840403a94decaf9caedeb7cd02032025-08-20T02:20:57ZengElsevierEndocrine and Metabolic Science2666-39612024-09-011610020010.1016/j.endmts.2024.100200Prevalence of thyroid dysfunction among pregnant women in the horn of Africa: A systematic review and Meta-analysisMarye Nigatie0Getinet Kumie1Abdu Jemal2Solomon Gedfie3Woldeteklehaymanot Kassahun4Muluken Gashaw5Agenagnew Ashagre6Tadesse Misganaw7Wagaw Abebe8Ermias Getachew9Selamyhun Tadesse10Zelalem Dejazmach11Sisay Ayana12Yalewayker Gashaw13Zelalem Asmare14Assefa Sisay15Atitegeb Abera16Biruk Beletew Abate17Melese Abate Reta18Department of Medical Laboratory Sciences, College of Health Sciences, Woldia University, P.O.Box 400, Woldia, Ethiopia; Corresponding author.Department of Medical Laboratory Sciences, College of Health Sciences, Woldia University, P.O.Box 400, Woldia, EthiopiaDepartment of Medical Laboratory Sciences, College of Health Sciences, Woldia University, P.O.Box 400, Woldia, EthiopiaDepartment of Medical Laboratory Sciences, College of Health Sciences, Woldia University, P.O.Box 400, Woldia, EthiopiaDepartment of Medical Laboratory Sciences, College of Health Sciences, Woldia University, P.O.Box 400, Woldia, EthiopiaDepartment of Medical Laboratory Sciences, College of Health Sciences, Woldia University, P.O.Box 400, Woldia, EthiopiaDepartment of Medical Laboratory Sciences, College of Health Sciences, Woldia University, P.O.Box 400, Woldia, EthiopiaDepartment of Medical Laboratory Sciences, College of Health Sciences, Woldia University, P.O.Box 400, Woldia, EthiopiaDepartment of Medical Laboratory Sciences, College of Health Sciences, Woldia University, P.O.Box 400, Woldia, EthiopiaDepartment of Medical Laboratory Sciences, College of Health Sciences, Woldia University, P.O.Box 400, Woldia, EthiopiaDepartment of Medical Laboratory Sciences, College of Health Sciences, Woldia University, P.O.Box 400, Woldia, EthiopiaDepartment of Medical Laboratory Sciences, College of Health Sciences, Woldia University, P.O.Box 400, Woldia, EthiopiaDepartment of Medical Laboratory Sciences, College of Health Sciences, Woldia University, P.O.Box 400, Woldia, EthiopiaDepartment of Medical Laboratory Sciences, College of Health Sciences, Woldia University, P.O.Box 400, Woldia, EthiopiaDepartment of Medical Laboratory Sciences, College of Health Sciences, Woldia University, P.O.Box 400, Woldia, EthiopiaDepartment of Medical Laboratory Sciences, College of Health Sciences, Woldia University, P.O.Box 400, Woldia, EthiopiaSchool of Public Health, College of Health Sciences, Woldia University, P.O. Box 400, Woldia, EthiopiaSchool of Nursing, College of Health Sciences, Woldia University, P.O. Box 400, Woldia, EthiopiaDepartment of Medical Laboratory Sciences, College of Health Sciences, Woldia University, P.O.Box 400, Woldia, EthiopiaBackground: Thyroid dysfunction ranks among the most prevalent endocrine disorders. This disorder during pregnancy has been linked to adverse effects on both the mother and the baby. However, there is a scarcity of data and inconsistent documentation regarding thyroid issues in pregnant women in low-income nations. Objective: The aim of this systematic review and meta-analysis was to determine the general prevalence of thyroid disorders in pregnant women. Methods: To identify relevant studies, a comprehensive search was conducted across Scopus, PubMed, Science Direct databases, and Google Scholar and repository registers from January 1, 2000 to December 31, 2023. Ten pertinent publications were chosen for the final meta-analysis. Relevant data was extracted using Microsoft Excel and analyzed using STATA software version 17, employing a random-effect model. Sensitivity analysis was conducted to evaluate each study's impact on the outcome, and Egger's test was utilized to detect publication bias. A trim-and-fill analysis was executed to adjust for bias in the effect estimate. Heterogeneity across studies was assessed using Cochran's Q statistic and I2 statistics. Subgroup analysis was carried by study design, country and publication year. Results: In this systematic review and meta-analysis, the prevalence of thyroid dysfunction among 2538 pregnant women was 12.0 % (95 % CI: 8.00 %–17.00 %). To account for the significant heterogeneity observed, a random effect model was utilized. Specifically, the prevalence of hypothyroidism in pregnant women was determined to be 10.00 % (95 % CI: 4.00–16.00 %) with a high level of heterogeneity (I2 = 94.27 %, p < 0.001). Notably, the sensitivity analysis conducted did not reveal any substantial impact on the overall pooled prevalence of thyroid dysfunction. Conclusion: The meta-analysis revealed a significantly higher rate of thyroid disorders among pregnant women compared to global estimates. To assess the effects of treating thyroid conditions on pregnancy outcomes and inform clinical decisions, it is recommended to implement cost-effective thyroid-stimulating hormone screening during pregnancy.http://www.sciencedirect.com/science/article/pii/S266639612400044XThyroid dysfunctionPrevalencePregnant womenHorn of AfricaMeta-analysis |
| spellingShingle | Marye Nigatie Getinet Kumie Abdu Jemal Solomon Gedfie Woldeteklehaymanot Kassahun Muluken Gashaw Agenagnew Ashagre Tadesse Misganaw Wagaw Abebe Ermias Getachew Selamyhun Tadesse Zelalem Dejazmach Sisay Ayana Yalewayker Gashaw Zelalem Asmare Assefa Sisay Atitegeb Abera Biruk Beletew Abate Melese Abate Reta Prevalence of thyroid dysfunction among pregnant women in the horn of Africa: A systematic review and Meta-analysis Endocrine and Metabolic Science Thyroid dysfunction Prevalence Pregnant women Horn of Africa Meta-analysis |
| title | Prevalence of thyroid dysfunction among pregnant women in the horn of Africa: A systematic review and Meta-analysis |
| title_full | Prevalence of thyroid dysfunction among pregnant women in the horn of Africa: A systematic review and Meta-analysis |
| title_fullStr | Prevalence of thyroid dysfunction among pregnant women in the horn of Africa: A systematic review and Meta-analysis |
| title_full_unstemmed | Prevalence of thyroid dysfunction among pregnant women in the horn of Africa: A systematic review and Meta-analysis |
| title_short | Prevalence of thyroid dysfunction among pregnant women in the horn of Africa: A systematic review and Meta-analysis |
| title_sort | prevalence of thyroid dysfunction among pregnant women in the horn of africa a systematic review and meta analysis |
| topic | Thyroid dysfunction Prevalence Pregnant women Horn of Africa Meta-analysis |
| url | http://www.sciencedirect.com/science/article/pii/S266639612400044X |
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