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Hypothyroidism and related diseases: a methodological quality assessment of meta-analysis

OBJECTIVES: There is an increasing prevalence of hypothyroidism and there is a growing body of meta-analyses (MAs) on the association between hypothyroidism and other diseases. However, the methodological quality of the MAs significantly varies. Thus, this study aimed to evaluate and summarise data...

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Autores principales: Tian, Limin, Shao, Feifei, Qin, Yahong, Guo, Qian, Gao, Cuixia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6475183/
https://www.ncbi.nlm.nih.gov/pubmed/30928930
http://dx.doi.org/10.1136/bmjopen-2018-024111
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author Tian, Limin
Shao, Feifei
Qin, Yahong
Guo, Qian
Gao, Cuixia
author_facet Tian, Limin
Shao, Feifei
Qin, Yahong
Guo, Qian
Gao, Cuixia
author_sort Tian, Limin
collection PubMed
description OBJECTIVES: There is an increasing prevalence of hypothyroidism and there is a growing body of meta-analyses (MAs) on the association between hypothyroidism and other diseases. However, the methodological quality of the MAs significantly varies. Thus, this study aimed to evaluate and summarise data on the methodological quality of MAs on the associations between hypothyroidism and other diseases using the Assessment of Multiple Systematic Reviews (AMSTAR) scale, providing suggestions for clinical decision-making processes. DESIGN: To assess the methodological quality of MAs using the AMSTAR scale. DATA SOURCES: A systematic literature search was performed in PubMed, EMBASE, the Cochrane Library, web of science and Chinese Biomedicine Literature Database. ELIGIBILITY CRITERIA: We included MAs that had assessed the association between hypothyroidism and other diseases in humans and that had full texts regardless of the publication status. No restriction applied on language or date. DATA EXTRACTION AND SYNTHESIS: Two reviewers independently screened the titles and abstracts of all searched literature to acquire potentially eligible publications. The full texts of possible eligible publications were downloaded and assessed. Inconsistent comments were resolved through discussions with a third reviewer. RESULTS: 52 studies were included. The average AMSTAR score of the included articles was 8.6 (range: 5–10), and those of English and Chinese MAs were 8.8 and 7.0, respectively. A total of 52 MAs were evaluated, and 19 (36.5%) and 33 (63.5%) of these MAs were of moderate and high quality, respectively. None of the MAs were of low quality. Only two MAs had an a priori design. Items 3, 5 and 9 had the highest compliance (50/52, 96.2%), and aside from item 1, items 7 and 8 had the lowest compliance (33/52,63.5%). According to the results of these MAs, hypothyroidism was significantly associated with cardiovascular diseases, metabolic diseases, neuropsychiatric disorders, breast cancer and pregnancy outcome. CONCLUSIONS: The methodological quality of the included MAs on the association between hypothyroidism and other diseases was moderate to high. MAs with high qualities confirmed that hypothyroidism was significantly associated with cardiovascular diseases, metabolic syndrome, preterm birth and neonatal outcomes. Consideration of scientific quality when formulating conclusions should be made explicit and more attention should be paid to improving the methodological quality of MAs, and increasing their applicability for clinical decision-making.
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spelling pubmed-64751832019-05-07 Hypothyroidism and related diseases: a methodological quality assessment of meta-analysis Tian, Limin Shao, Feifei Qin, Yahong Guo, Qian Gao, Cuixia BMJ Open Diabetes and Endocrinology OBJECTIVES: There is an increasing prevalence of hypothyroidism and there is a growing body of meta-analyses (MAs) on the association between hypothyroidism and other diseases. However, the methodological quality of the MAs significantly varies. Thus, this study aimed to evaluate and summarise data on the methodological quality of MAs on the associations between hypothyroidism and other diseases using the Assessment of Multiple Systematic Reviews (AMSTAR) scale, providing suggestions for clinical decision-making processes. DESIGN: To assess the methodological quality of MAs using the AMSTAR scale. DATA SOURCES: A systematic literature search was performed in PubMed, EMBASE, the Cochrane Library, web of science and Chinese Biomedicine Literature Database. ELIGIBILITY CRITERIA: We included MAs that had assessed the association between hypothyroidism and other diseases in humans and that had full texts regardless of the publication status. No restriction applied on language or date. DATA EXTRACTION AND SYNTHESIS: Two reviewers independently screened the titles and abstracts of all searched literature to acquire potentially eligible publications. The full texts of possible eligible publications were downloaded and assessed. Inconsistent comments were resolved through discussions with a third reviewer. RESULTS: 52 studies were included. The average AMSTAR score of the included articles was 8.6 (range: 5–10), and those of English and Chinese MAs were 8.8 and 7.0, respectively. A total of 52 MAs were evaluated, and 19 (36.5%) and 33 (63.5%) of these MAs were of moderate and high quality, respectively. None of the MAs were of low quality. Only two MAs had an a priori design. Items 3, 5 and 9 had the highest compliance (50/52, 96.2%), and aside from item 1, items 7 and 8 had the lowest compliance (33/52,63.5%). According to the results of these MAs, hypothyroidism was significantly associated with cardiovascular diseases, metabolic diseases, neuropsychiatric disorders, breast cancer and pregnancy outcome. CONCLUSIONS: The methodological quality of the included MAs on the association between hypothyroidism and other diseases was moderate to high. MAs with high qualities confirmed that hypothyroidism was significantly associated with cardiovascular diseases, metabolic syndrome, preterm birth and neonatal outcomes. Consideration of scientific quality when formulating conclusions should be made explicit and more attention should be paid to improving the methodological quality of MAs, and increasing their applicability for clinical decision-making. BMJ Publishing Group 2019-03-30 /pmc/articles/PMC6475183/ /pubmed/30928930 http://dx.doi.org/10.1136/bmjopen-2018-024111 Text en © Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.
spellingShingle Diabetes and Endocrinology
Tian, Limin
Shao, Feifei
Qin, Yahong
Guo, Qian
Gao, Cuixia
Hypothyroidism and related diseases: a methodological quality assessment of meta-analysis
title Hypothyroidism and related diseases: a methodological quality assessment of meta-analysis
title_full Hypothyroidism and related diseases: a methodological quality assessment of meta-analysis
title_fullStr Hypothyroidism and related diseases: a methodological quality assessment of meta-analysis
title_full_unstemmed Hypothyroidism and related diseases: a methodological quality assessment of meta-analysis
title_short Hypothyroidism and related diseases: a methodological quality assessment of meta-analysis
title_sort hypothyroidism and related diseases: a methodological quality assessment of meta-analysis
topic Diabetes and Endocrinology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6475183/
https://www.ncbi.nlm.nih.gov/pubmed/30928930
http://dx.doi.org/10.1136/bmjopen-2018-024111
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