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Stroke risk in arthritis: A systematic review and meta-analysis of cohort studies
BACKGROUND AND OBJECTIVE: Stroke is a major contributor to the global burden of disease. Although numerous modifiable risk factors (RF) for stroke have been identified, some remain unexplained. Increasing studies have investigated stroke risk in arthritis, but their results are inconsistent. We aime...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7963101/ https://www.ncbi.nlm.nih.gov/pubmed/33725018 http://dx.doi.org/10.1371/journal.pone.0248564 |
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author | Liu, Wei Ma, Wei Liu, Hua Li, Chunyan Zhang, Yangwei Liu, Jie Liang, Yu Zhang, Sijia Wu, Zhen Zang, Chenghao Guo, Jianhui Li, Liyan |
author_facet | Liu, Wei Ma, Wei Liu, Hua Li, Chunyan Zhang, Yangwei Liu, Jie Liang, Yu Zhang, Sijia Wu, Zhen Zang, Chenghao Guo, Jianhui Li, Liyan |
author_sort | Liu, Wei |
collection | PubMed |
description | BACKGROUND AND OBJECTIVE: Stroke is a major contributor to the global burden of disease. Although numerous modifiable risk factors (RF) for stroke have been identified, some remain unexplained. Increasing studies have investigated stroke risk in arthritis, but their results are inconsistent. We aimed to synthesize, quantify, and compare the risk of stroke for the major types of arthritis in cohort studies by using a systematic review and meta-analysis approach. METHODS: We searched Chinese and English databases to identify relevant studies from inception to April 30, 2020. Only studies adjusting at least for age and sex were included. We calculated pooled effect estimates for relative risk (RR) and 95% confidence interval (CI) and identified potential sources of heterogeneity and publication bias. RESULTS: A total of 1,348 articles were retrieved, and after an preliminary screening of titles and abstracts, 69 were reviewed for full text, and finally, 32 met the criteria for meta-analysis. Stroke risk in arthritis was significantly increased in studies adjusting for age and sex (RR = 1.36, 95% CI: 1.27–1.46) and for at least one traditional risk factor (RR = 1.40, 95% CI: 1.28–1.54). The results of studies stratified by stroke subtype were consistent with the main finding (ischemic stroke: RR = 1.53, 95% CI: 1.32–1.78; hemorrhagic stroke: RR = 1.45, 95% CI: 1.15–1.84). In subgroup analysis by arthritis type, stroke risk was significantly increased in rheumatoid arthritis (RR = 1.38, 95% CI: 1.29–1.48), ankylosing spondylitis (RR = 1.49, 95% CI: 1.25–1.77), psoriatic arthritis (RR = 1.33, 95% CI: 1.22–1.45), and gout (RR = 1.40, 95% CI: 1.13–1.73) but not osteoarthritis (RR = 1.03, 95% CI: 0.91–1.16). Age and sex subgroup analyses indicated that stroke risk was similar by sex (women: RR = 1.47, 95% CI: 1.31–1.66; men: RR = 1.44, 95% CI: 1.28–1.61); risk was higher with younger age (<45 years) (RR = 1.46, 95% CI: 1.17–1.82) than older age (≥65 years) (RR = 1.17, 95% CI: 1.08–1.26). CONCLUSIONS: Stroke risk was increased in multiple arthritis and similar between ischemic and hemorrhagic stroke. Young patients with arthritis had the highest risk. |
format | Online Article Text |
id | pubmed-7963101 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-79631012021-03-26 Stroke risk in arthritis: A systematic review and meta-analysis of cohort studies Liu, Wei Ma, Wei Liu, Hua Li, Chunyan Zhang, Yangwei Liu, Jie Liang, Yu Zhang, Sijia Wu, Zhen Zang, Chenghao Guo, Jianhui Li, Liyan PLoS One Research Article BACKGROUND AND OBJECTIVE: Stroke is a major contributor to the global burden of disease. Although numerous modifiable risk factors (RF) for stroke have been identified, some remain unexplained. Increasing studies have investigated stroke risk in arthritis, but their results are inconsistent. We aimed to synthesize, quantify, and compare the risk of stroke for the major types of arthritis in cohort studies by using a systematic review and meta-analysis approach. METHODS: We searched Chinese and English databases to identify relevant studies from inception to April 30, 2020. Only studies adjusting at least for age and sex were included. We calculated pooled effect estimates for relative risk (RR) and 95% confidence interval (CI) and identified potential sources of heterogeneity and publication bias. RESULTS: A total of 1,348 articles were retrieved, and after an preliminary screening of titles and abstracts, 69 were reviewed for full text, and finally, 32 met the criteria for meta-analysis. Stroke risk in arthritis was significantly increased in studies adjusting for age and sex (RR = 1.36, 95% CI: 1.27–1.46) and for at least one traditional risk factor (RR = 1.40, 95% CI: 1.28–1.54). The results of studies stratified by stroke subtype were consistent with the main finding (ischemic stroke: RR = 1.53, 95% CI: 1.32–1.78; hemorrhagic stroke: RR = 1.45, 95% CI: 1.15–1.84). In subgroup analysis by arthritis type, stroke risk was significantly increased in rheumatoid arthritis (RR = 1.38, 95% CI: 1.29–1.48), ankylosing spondylitis (RR = 1.49, 95% CI: 1.25–1.77), psoriatic arthritis (RR = 1.33, 95% CI: 1.22–1.45), and gout (RR = 1.40, 95% CI: 1.13–1.73) but not osteoarthritis (RR = 1.03, 95% CI: 0.91–1.16). Age and sex subgroup analyses indicated that stroke risk was similar by sex (women: RR = 1.47, 95% CI: 1.31–1.66; men: RR = 1.44, 95% CI: 1.28–1.61); risk was higher with younger age (<45 years) (RR = 1.46, 95% CI: 1.17–1.82) than older age (≥65 years) (RR = 1.17, 95% CI: 1.08–1.26). CONCLUSIONS: Stroke risk was increased in multiple arthritis and similar between ischemic and hemorrhagic stroke. Young patients with arthritis had the highest risk. Public Library of Science 2021-03-16 /pmc/articles/PMC7963101/ /pubmed/33725018 http://dx.doi.org/10.1371/journal.pone.0248564 Text en © 2021 Liu et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Liu, Wei Ma, Wei Liu, Hua Li, Chunyan Zhang, Yangwei Liu, Jie Liang, Yu Zhang, Sijia Wu, Zhen Zang, Chenghao Guo, Jianhui Li, Liyan Stroke risk in arthritis: A systematic review and meta-analysis of cohort studies |
title | Stroke risk in arthritis: A systematic review and meta-analysis of cohort studies |
title_full | Stroke risk in arthritis: A systematic review and meta-analysis of cohort studies |
title_fullStr | Stroke risk in arthritis: A systematic review and meta-analysis of cohort studies |
title_full_unstemmed | Stroke risk in arthritis: A systematic review and meta-analysis of cohort studies |
title_short | Stroke risk in arthritis: A systematic review and meta-analysis of cohort studies |
title_sort | stroke risk in arthritis: a systematic review and meta-analysis of cohort studies |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7963101/ https://www.ncbi.nlm.nih.gov/pubmed/33725018 http://dx.doi.org/10.1371/journal.pone.0248564 |
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