Wei Zhao1, Hui Tang1, Xiaodong Yang2, Xiaoquan Luo1, Xiaoya Wang1, Chuan Shao3, Jiaquan He1. 1. Department of Neurosurgery, Nanchong Central Hospital, Nanchong, Sichuan, China. 2. Nanchong Center for Disease Control and Prevention, Nanchong, Sichuan, China. 3. Department of Neurosurgery, Nanchong Central Hospital, Nanchong, Sichuan, China. Electronic address: scshaochuan@yahoo.com.
Abstract
BACKGROUND: Inconsistent results of the association between fish consumption and stroke risk have been indicated in previous epidemiological studies. Therefore, we performed a meta-analysis of prospective cohort studies to estimate the impact of fish consumption on stroke risk. METHODS: The PubMed and EMBASE databases were searched through a computer search. Prospective cohort studies satisfying predetermined inclusion criterion were included. Random-effect model was adopted in this meta-analysis. Analysis of subgroup, sensitivity, publication bias, dose-response, power, and quality of evidence was also conducted. RESULTS: Thirty one publications including 33 independent prospective cohort studies were identified in this meta-analysis. In the primary analysis of the highest versus lowest categories of fish consumption, pooled results indicated that a significant trend toward an inverse association between fish intake and stroke risk (HR = .90, 95% confidence interval [CI] .85-.96). Further subgroup analyses indicated an inverse association was more pronounced in the group of hemorrhagic stroke (HR=.88, 95% CI .80-.96), female (HR =.83, 95% CI .75-.92), and Asia-Pacific (HR = .87, 95% CI .80-.95). Both the funnel plot and Egger tests suggested no evidence of publication bias. Dose-response analysis showed a linear relationship between fish intake and stroke and the risk of stroke decreased by 2%-12% with increasing intake of fish up to 100-700 g/week. According to the NutriGrade scoring system, the level of metaevidence quality was moderate. CONCLUSIONS: Based on current evidence from prospective cohort studies, we concluded that fish consumption was associated with a decreased risk of stroke.
BACKGROUND: Inconsistent results of the association between fish consumption and stroke risk have been indicated in previous epidemiological studies. Therefore, we performed a meta-analysis of prospective cohort studies to estimate the impact of fish consumption on stroke risk. METHODS: The PubMed and EMBASE databases were searched through a computer search. Prospective cohort studies satisfying predetermined inclusion criterion were included. Random-effect model was adopted in this meta-analysis. Analysis of subgroup, sensitivity, publication bias, dose-response, power, and quality of evidence was also conducted. RESULTS: Thirty one publications including 33 independent prospective cohort studies were identified in this meta-analysis. In the primary analysis of the highest versus lowest categories of fish consumption, pooled results indicated that a significant trend toward an inverse association between fish intake and stroke risk (HR = .90, 95% confidence interval [CI] .85-.96). Further subgroup analyses indicated an inverse association was more pronounced in the group of hemorrhagic stroke (HR=.88, 95% CI .80-.96), female (HR =.83, 95% CI .75-.92), and Asia-Pacific (HR = .87, 95% CI .80-.95). Both the funnel plot and Egger tests suggested no evidence of publication bias. Dose-response analysis showed a linear relationship between fish intake and stroke and the risk of stroke decreased by 2%-12% with increasing intake of fish up to 100-700 g/week. According to the NutriGrade scoring system, the level of metaevidence quality was moderate. CONCLUSIONS: Based on current evidence from prospective cohort studies, we concluded that fish consumption was associated with a decreased risk of stroke.
Authors: Gregory Y H Lip; Deirdre A Lane; Radosław Lenarczyk; Giuseppe Boriani; Wolfram Doehner; Laura A Benjamin; Marc Fisher; Deborah Lowe; Ralph L Sacco; Renate Schnabel; Caroline Watkins; George Ntaios; Tatjana Potpara Journal: Eur Heart J Date: 2022-07-07 Impact factor: 35.855
Authors: Lesley Hoyles; Matthew G Pontifex; Ildefonso Rodriguez-Ramiro; M Areeb Anis-Alavi; Khadija S Jelane; Tom Snelling; Egle Solito; Sonia Fonseca; Ana L Carvalho; Simon R Carding; Michael Müller; Robert C Glen; David Vauzour; Simon McArthur Journal: Microbiome Date: 2021-11-27 Impact factor: 16.837