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Correlation Between Adiponectin Level and Ischemic Stroke Risk and Patient Prognosis: An Updated Meta-Analysis.

Authors :
Bo XIANG
Yuan-yuan HUO
Ping ZHONG
Chao WANG
Xian-xian WU
Jie ZHAO
Haicheng YUAN
Yuqiang SONG
Source :
Archives of Neuropsychiatry / Nöropsikiyatri Arşivi. Sep2024, Vol. 61 Issue 3, p281-288. 8p.
Publication Year :
2024

Abstract

Introduction: Adiponectin is a factor secreted by adipocytes and has been shown to play an important role in many physiological and pathological processes. Previous studies have shown that adiponectin levels are closely related to the occurrence and prognosis of ischemic stroke, but the results of different studies are conflicting. Therefore, this study aimed to update the data in this area to explore the relationship between adiponectin levels and the occurrence and prognosis of ischemic stroke. Results: After searching 762 records, 14 studies were finally included, including 10 studies on the incidence of ischemic stroke and 4 studies on the prognosis of patients with ischemic stroke. The results of Meta-analysis showed that the correlation between the level of adiponectin and the occurrence and prognosis of ischemic stroke was not significant. The risk of ischemic stroke was not significantly changed in the population with high adiponectin levels (pooled RR=1.00, 95% CI=0.86-1.16, P=1.00). Similarly, there was no significant difference in all-cause mortality among those with high adiponectin levels compared with ischemic stroke patients with low adiponectin levels (pooled RR 0.61, 95% CI 0.47-0.80). However, significant heterogeneity was found during the meta-analysis, P<0.0001; I2=72% and P<0.0001; I2=88%, respectively. Subgroup analysis showed that factors such as study design, follow-up time and publication time could partly explain this heterogeneity. Conclusions: In conclusion, adiponectin level is not significantly correlated with the occurrence and prognosis of ischemic stroke, suggesting that adiponectin level may not be used as a potential biomarker for ischemic stroke risk assessment and patient prognosis prediction. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
13000667
Volume :
61
Issue :
3
Database :
Academic Search Index
Journal :
Archives of Neuropsychiatry / Nöropsikiyatri Arşivi
Publication Type :
Academic Journal
Accession number :
179411134
Full Text :
https://doi.org/10.29399/npa.28485