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Association between gout and the development of Parkinson’s disease: a systematic review and meta-analysis

Authors :
Asra Fazlollahi
Mahdi Zahmatyar
Hossein Alizadeh
Maryam Noori
Nasrin Jafari
Seyed Aria Nejadghaderi
Mark J. M. Sullman
Koroush Gharagozli
Ali-Asghar Kolahi
Saeid Safiri
Source :
BMC Neurology, Vol 22, Iss 1, Pp 1-14 (2022)
Publication Year :
2022
Publisher :
BMC, 2022.

Abstract

Abstract Background As a natural antioxidant, uric acid plays a protective role against neurodegenerative disorders, including Parkinson’s disease (PD). Therefore, the risk of PD has been found to be lower in people with hyperuricemia. In this article, we conducted a systematic review and meta-analysis to investigate whether gout affects the future risk of developing PD. Methods We searched PubMed, Scopus, the Web of Science, and Google Scholar to find relevant studies, up to March 16, 2022. Studies investigating the risk of PD, following a gout diagnosis, were included if they were cross-sectional, case–control or cohort studies. The Newcastle Ottawa Scale (NOS) checklist was used to assess the quality of all included studies. The meta-analysis was performed using STATA 17.0. Results Ten studies were included, which were comprised of three case-controls, six cohort studies and one nested case–control study. We found no significant association between gout and the risk of PD among both sexes (RR = 0.94, 95% CI: 0.86–1.04), although the association was significant for females (RR = 1.09; 95% CI: 1.02–1.17). Subgroup analysis also showed no significant findings by age group, whether they were receiving treatment for gout, study design, quality assessment score, and method of gout ascertainment. In contrast, the studies that defined PD according to the use of drugs showed significant results (RR = 0.82; 95% CI: 0.76–0.89). There was a significant publication bias on the association between gout and PD. Conclusions The presence of gout had no significant effect on the risk of subsequently developing PD. Further analyses are recommended to investigate the effects of demographic and behavioral risk factors.

Details

Language :
English
ISSN :
14712377
Volume :
22
Issue :
1
Database :
Directory of Open Access Journals
Journal :
BMC Neurology
Publication Type :
Academic Journal
Accession number :
edsdoj.bafc0aaaea184b5e903d1785ad2a9681
Document Type :
article
Full Text :
https://doi.org/10.1186/s12883-022-02874-0