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


Journal

Clinical neurology and neurosurgery
ISSN: 1872-6968
Titre abrégé: Clin Neurol Neurosurg
Pays: Netherlands
ID NLM: 7502039

Informations de publication

Date de publication:
Apr 2021
Historique:
received: 05 08 2019
revised: 08 02 2021
accepted: 17 02 2021
pubmed: 12 3 2021
medline: 13 1 2022
entrez: 11 3 2021
Statut: ppublish

Résumé

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 < 0.001; men, HR = 0.83, p < 0.001; women, HR = 0.76, p < 0.001). The included studies were homogeneous (all, p = 0.43; men, p = 0.9; women, p = 0.49). Sensitivity analysis confirmed the robustness of these summary effects. Publication bias was detected, which was adjusted for by a trim-and-fill method. The adjusted results showed significant summary effects (all, HR = 0.88, p = 0.002; men, HR = 0.83, p < 0.001; women, HR = 0.77, p < 0.001). The present meta-analysis suggests that the serum UA level could be a prognostic biomarker in patients with ALS. Sensitivity analyses and the trim-and-fill method supported the robustness of these results.

Identifiants

pubmed: 33706058
pii: S0303-8467(21)00093-7
doi: 10.1016/j.clineuro.2021.106566
pii:
doi:

Substances chimiques

Biomarkers 0
Uric Acid 268B43MJ25

Types de publication

Journal Article Meta-Analysis

Langues

eng

Sous-ensembles de citation

IM

Pagination

106566

Informations de copyright

Copyright © 2021 Elsevier B.V. All rights reserved.

Auteurs

Shotaro Haji (S)

Department of Neurology, Tokushima University Graduate School of Biomedical Sciences, Tokushima, Japan.

Wataru Sako (W)

Department of Neurology, Tokushima University Graduate School of Biomedical Sciences, Tokushima, Japan. Electronic address: dwsako@yahoo.co.jp.

Nagahisa Murakami (N)

Department of Neurology, Tokushima University Graduate School of Biomedical Sciences, Tokushima, Japan.

Yusuke Osaki (Y)

Department of Neurology, Tokushima University Graduate School of Biomedical Sciences, Tokushima, Japan.

Takahiro Furukawa (T)

Department of Neurology, Tokushima University Graduate School of Biomedical Sciences, Tokushima, Japan; Department of Neurology, Shinko Hospital, Kobe, Japan.

Yuishin Izumi (Y)

Department of Neurology, Tokushima University Graduate School of Biomedical Sciences, Tokushima, Japan.

Ryuji Kaji (R)

Department of Neurology, Tokushima University Graduate School of Biomedical Sciences, Tokushima, Japan; Department of Neurology, National Hospital Organization Utano Hospital, Kyoto, Japan.

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