Literature DB >> 32266540

Natural history of most common spinocerebellar ataxia: a systematic review and meta-analysis.

Alhassane Diallo1, Heike Jacobi2,3, Sophie Tezenas du Montcel4, Thomas Klockgether3,5.   

Abstract

BACKGROUND: Spinocerebellar ataxias (SCAs) are rare dominantly inherited neurodegenerative disorders that lead to severe disability and premature death.
OBJECTIVE: To better characterize the natural history of the most common SCAs, SCA1, SCA2, SCA3 and SCA6, we performed a meta-analysis of literature to determine disease progression, provide data for sample-sizes calculations for interventional trials and study the impact of geographical locations and study follow-up on disease progression.
METHODS: A systematic literature search from MEDLINE and EMBASE databases for longitudinal natural history studies of SCA patients was conducted. Studies using the Scale for the Assessment and Rating Ataxia (SARA) as outcome measure were considered. Random-effect (RE) meta-analysis was applied to estimate pooled disease progression.
RESULTS: Six studies with 1215 SCA patients enrolled between 2005 and 2016 were finally selected. Annual pooled SARA score increase was 1.83 (1.46-2.20) in patients with SCA1, 1.40 (1.19-1.61) in patients with SCA2, 1.41 (0.97-1.84) in patients with SCA3, and 0.81 (0.66-0.97) in patients with SCA6. For patients with SCA3, disease progression was faster in studies located in Asia and Europe than in the US. Two-arm interventional trials of 1-year duration to achieve 80% power and α level of 5% would require 92 patients per group with SCA1, 97 with SCA2, 115 with SCA3, and 430 with SCA6 to detect a 50% reduction in disease progression.
CONCLUSION: This meta-analysis provides quantitative data on the progression of the most common spinocerebellar ataxias based on patient numbers that exceed those of previous studies and confirms that disease progression is faster in SCA1, intermediate in SCA2 and SCA3 and slower in SCA6, with similar rates of disease progression in SCA2 and SCA3 between different populations, suggesting a possibility of international collaborative studies. Nevertheless, individual-patient data meta-analysis is needed to better understand the risk factors that influence disease progression and improve patient stratification in interventional trials.
© 2020. Springer-Verlag GmbH Germany, part of Springer Nature.

Entities:  

Keywords:  Longitudinal data; Meta-analysis; Natural history; Review; Spinocerebellar ataxia

Mesh:

Year:  2020        PMID: 32266540     DOI: 10.1007/s00415-020-09815-2

Source DB:  PubMed          Journal:  J Neurol        ISSN: 0340-5354            Impact factor:   4.849


  6 in total

1.  The S-Factor, a New Measure of Disease Severity in Spinocerebellar Ataxia: Findings and Implications.

Authors:  Louisa P Selvadurai; Susan L Perlman; George R Wilmot; Sub H Subramony; Christopher M Gomez; Tetsuo Ashizawa; Henry L Paulson; Chiadi U Onyike; Liana S Rosenthal; Haris I Sair; Sheng-Han Kuo; Eva-Maria Ratai; Theresa A Zesiewicz; Khalaf O Bushara; Gülin Öz; Cameron Dietiker; Michael D Geschwind; Alexandra B Nelson; Puneet Opal; Talene A Yacoubian; Peggy C Nopoulos; Vikram G Shakkottai; Karla P Figueroa; Stefan M Pulst; Peter E Morrison; Jeremy D Schmahmann
Journal:  Cerebellum       Date:  2022-08-12       Impact factor: 3.648

Review 2.  Spinocerebellar ataxia clinical trials: opportunities and challenges.

Authors:  Sarah M Brooker; Chandrakanth Reddy Edamakanti; Sara M Akasha; Sheng-Han Kuo; Puneet Opal
Journal:  Ann Clin Transl Neurol       Date:  2021-05-21       Impact factor: 4.511

3.  Progression of Cerebellar Atrophy in Spinocerebellar Ataxia Type 2 Gene Carriers: A Longitudinal MRI Study in Preclinical and Early Disease Stages.

Authors:  Anna Nigri; Lidia Sarro; Alessia Mongelli; Chiara Pinardi; Luca Porcu; Anna Castaldo; Stefania Ferraro; Marina Grisoli; Maria Grazia Bruzzone; Cinzia Gellera; Franco Taroni; Caterina Mariotti; Lorenzo Nanetti
Journal:  Front Neurol       Date:  2020-12-15       Impact factor: 4.003

4.  New spinocerebellar ataxia subtype caused by SAMD9L mutation triggering mitochondrial dysregulation (SCA49).

Authors:  Marc Corral-Juan; Pilar Casquero; Natalia Giraldo-Restrepo; Steve Laurie; Alicia Martinez-Piñeiro; Raidili Cristina Mateo-Montero; Lourdes Ispierto; Dolores Vilas; Eduardo Tolosa; Victor Volpini; Ramiro Alvarez-Ramo; Ivelisse Sánchez; Antoni Matilla-Dueñas
Journal:  Brain Commun       Date:  2022-02-10

5.  Effects of Repetitive Transcranial Magnetic Stimulation on Cerebellar Metabolism in Patients With Spinocerebellar Ataxia Type 3.

Authors:  Xin-Yuan Chen; Yan-Hua Lian; Xia-Hua Liu; Arif Sikandar; Meng-Cheng Li; Hao-Ling Xu; Jian-Ping Hu; Qun-Lin Chen; Shi-Rui Gan
Journal:  Front Aging Neurosci       Date:  2022-04-25       Impact factor: 5.702

6.  The Natural History of Spinocerebellar Ataxia Type 3 in Mainland China: A 2-Year Cohort Study.

Authors:  Yun Peng; Linliu Peng; Zhao Chen; Huirong Peng; Puzhi Wang; Youming Zhang; Yangping Li; Chunrong Wang; Yuting Shi; Xuan Hou; Zhe Long; Hongyu Yuan; Na Wan; Linlin Wan; Keqin Xu; Lijing Lei; Shang Wang; Lang He; Yue Xie; Yiqing Gong; Qi Deng; Guangdong Zou; Zhichao Tang; Lu Shen; Kun Xia; Rong Qiu; Thomas Klockgether; Beisha Tang; Hong Jiang
Journal:  Front Aging Neurosci       Date:  2022-07-05       Impact factor: 5.702

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.