The value of serum uric acid as a prognostic biomarker in amyotrophic lateral sclerosis: Evidence from a meta-analysis

•The prognostic value of uric acid (UA) for ALS was evaluated using meta-analysis.•A total of four studies included 1882 patients with ALS in this meta-analysis.•Meta-analysis revealed that UA was a prognostic factor with homogeneous studies. To determine the value of uric acid (UA) as a prognostic...

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Bibliographic Details
Published in:Clinical neurology and neurosurgery 2021-04, Vol.203, p.106566-106566, Article 106566
Main Authors: Haji, Shotaro, Sako, Wataru, Murakami, Nagahisa, Osaki, Yusuke, Furukawa, Takahiro, Izumi, Yuishin, Kaji, Ryuji
Format: Article
Language:English
Subjects:
Alzheimer's disease
Amyotrophic lateral sclerosis
Amyotrophic Lateral Sclerosis - blood
Amyotrophic Lateral Sclerosis - diagnosis
Bias
Biomarkers
Biomarkers - blood
Body mass index
Computer applications
Creatinine
Deoxyribonucleic acid
DNA
Hazard ratio
Humans
Medical prognosis
Meta-analysis
Neurology
Ostomy
Oxidative stress
Prognosis
Regression analysis
Sensitivity analysis
Sensitivity and Specificity
Statistics
Survival
Survival analysis
Systematic review
Tracheostomy
Tracheotomy
Uric acid
Uric Acid - blood
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Summary:•The prognostic value of uric acid (UA) for ALS was evaluated using meta-analysis.•A total of four studies included 1882 patients with ALS in this meta-analysis.•Meta-analysis revealed that UA was a prognostic factor with homogeneous studies. To determine the value of uric acid (UA) as a prognostic biomarker for amyotrophic lateral sclerosis (ALS) using a meta-analysis of hazard ratio-based studies. We included data from Tokushima University (47 patients with ALS) and three previous studies (1835 patients with ALS) with a hazard ratio (HR) identified by a systematic computational search. A total of four studies and 1882 patients were enrolled in the pooled analysis. We pooled HRs of death or tracheostomy, which were estimated by a Cox proportional hazard model, using a random-effects model. Heterogeneity was assessed by Q statistic, and a p value < 0.1 was considered significant heterogeneity. Furthermore, sensitivity analysis was performed to assess the effect of each single study and the robustness of the summary effect. We evaluated publication bias by visual assessment of the funnel plot and Egger’s test, and adjusted the bias using a trim-and-fill method. This meta-analysis revealed that UA could be a prognostic factor for ALS (all, HR = 0.87, p 
ISSN:0303-8467
1872-6968
DOI:10.1016/j.clineuro.2021.106566