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Predictive role of modifiable factors in stroke: an umbrella review

BACKGROUND: A growing number of meta-analyses reviewed the existing associations between modifiable factors and stroke. However, the methodological quality of them and quality of evidence remain to be assessed by validated tools. Thus, this umbrella review was conducted to consolidate evidence from...

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Autores principales: Wang, Xiaotong, Liang, Man, Zeng, Fanxin, Wang, Yue, Yang, Yuetian, Nie, Fangfang, Shang, Mengke, Ta, Na, Wen, Lu, Ou, Lanxin, Yang, Zhibin, Liu, Wanyang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9207927/
https://www.ncbi.nlm.nih.gov/pubmed/35710238
http://dx.doi.org/10.1136/bmjopen-2021-056680
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author Wang, Xiaotong
Liang, Man
Zeng, Fanxin
Wang, Yue
Yang, Yuetian
Nie, Fangfang
Shang, Mengke
Ta, Na
Wen, Lu
Ou, Lanxin
Yang, Zhibin
Liu, Wanyang
author_facet Wang, Xiaotong
Liang, Man
Zeng, Fanxin
Wang, Yue
Yang, Yuetian
Nie, Fangfang
Shang, Mengke
Ta, Na
Wen, Lu
Ou, Lanxin
Yang, Zhibin
Liu, Wanyang
author_sort Wang, Xiaotong
collection PubMed
description BACKGROUND: A growing number of meta-analyses reviewed the existing associations between modifiable factors and stroke. However, the methodological quality of them and quality of evidence remain to be assessed by validated tools. Thus, this umbrella review was conducted to consolidate evidence from systematic reviews and meta-analyses of cohort studies investigating the association between modifiable factors and incidence of stroke. METHODS: PubMed, Web of Science, Embase, Wanfang and China National Knowledge Infrastructure databases for systematic reviews and meta-analyses of cohort studies from inception until March 2021. Assess the methodological quality of systematic reviews 2 was used to evaluate the methodological quality of each included published meta-analysis. Excess significance test was used to investigate whether the observed number of studies (O) with nominally significant results (‘positive’ studies, p<0.05) was larger than the expected number of significant results (E). Statistically significant (p<0.05) associations were rated into five levels (strong, highly suggestive, suggestive, weak and no) using specific criteria. Sensitivity analyses were performed. RESULTS: 2478 records were identified through database searching. At last, 49 meta-analyses including 70 modifiable factors and approximately 856 801 stroke cases were included in the present review. The methodological quality of three meta-analyses was low, while others were critically low. Evidence of walking pace was strong. High suggestive evidence mainly included total meat, processes meat, chocolate, sodium, obesity, pulse pressure, systolic blood pressure, diastolic blood pressure, sleep duration and smoking. Suggestive evidence mainly included dietary approaches to stop hypertension (DASH) diet, vitamin C, magnesium, depression and particulate matter 2.5. After sensitivity analyses, evidence of DASH diet, magnesium and depression turned to weak. No publication bias existed, except only one study which could be explained by reporting bias. DISCUSSION: Diet with rich macronutrients and micronutrients, healthy dietary patterns and favourable physical, emotional health and environmental management should be promoted to decrease the burden of stroke. PROSPERO REGISTRATION NUMBER: CRD42021249921.
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spelling pubmed-92079272022-06-29 Predictive role of modifiable factors in stroke: an umbrella review Wang, Xiaotong Liang, Man Zeng, Fanxin Wang, Yue Yang, Yuetian Nie, Fangfang Shang, Mengke Ta, Na Wen, Lu Ou, Lanxin Yang, Zhibin Liu, Wanyang BMJ Open Neurology BACKGROUND: A growing number of meta-analyses reviewed the existing associations between modifiable factors and stroke. However, the methodological quality of them and quality of evidence remain to be assessed by validated tools. Thus, this umbrella review was conducted to consolidate evidence from systematic reviews and meta-analyses of cohort studies investigating the association between modifiable factors and incidence of stroke. METHODS: PubMed, Web of Science, Embase, Wanfang and China National Knowledge Infrastructure databases for systematic reviews and meta-analyses of cohort studies from inception until March 2021. Assess the methodological quality of systematic reviews 2 was used to evaluate the methodological quality of each included published meta-analysis. Excess significance test was used to investigate whether the observed number of studies (O) with nominally significant results (‘positive’ studies, p<0.05) was larger than the expected number of significant results (E). Statistically significant (p<0.05) associations were rated into five levels (strong, highly suggestive, suggestive, weak and no) using specific criteria. Sensitivity analyses were performed. RESULTS: 2478 records were identified through database searching. At last, 49 meta-analyses including 70 modifiable factors and approximately 856 801 stroke cases were included in the present review. The methodological quality of three meta-analyses was low, while others were critically low. Evidence of walking pace was strong. High suggestive evidence mainly included total meat, processes meat, chocolate, sodium, obesity, pulse pressure, systolic blood pressure, diastolic blood pressure, sleep duration and smoking. Suggestive evidence mainly included dietary approaches to stop hypertension (DASH) diet, vitamin C, magnesium, depression and particulate matter 2.5. After sensitivity analyses, evidence of DASH diet, magnesium and depression turned to weak. No publication bias existed, except only one study which could be explained by reporting bias. DISCUSSION: Diet with rich macronutrients and micronutrients, healthy dietary patterns and favourable physical, emotional health and environmental management should be promoted to decrease the burden of stroke. PROSPERO REGISTRATION NUMBER: CRD42021249921. BMJ Publishing Group 2022-06-16 /pmc/articles/PMC9207927/ /pubmed/35710238 http://dx.doi.org/10.1136/bmjopen-2021-056680 Text en © Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/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/ (https://creativecommons.org/licenses/by-nc/4.0/) .
spellingShingle Neurology
Wang, Xiaotong
Liang, Man
Zeng, Fanxin
Wang, Yue
Yang, Yuetian
Nie, Fangfang
Shang, Mengke
Ta, Na
Wen, Lu
Ou, Lanxin
Yang, Zhibin
Liu, Wanyang
Predictive role of modifiable factors in stroke: an umbrella review
title Predictive role of modifiable factors in stroke: an umbrella review
title_full Predictive role of modifiable factors in stroke: an umbrella review
title_fullStr Predictive role of modifiable factors in stroke: an umbrella review
title_full_unstemmed Predictive role of modifiable factors in stroke: an umbrella review
title_short Predictive role of modifiable factors in stroke: an umbrella review
title_sort predictive role of modifiable factors in stroke: an umbrella review
topic Neurology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9207927/
https://www.ncbi.nlm.nih.gov/pubmed/35710238
http://dx.doi.org/10.1136/bmjopen-2021-056680
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