SynthesisCerebellum (London, England)2025
Epidemiology of Autosomal Dominant Spinocerebellar Ataxias in Latin America: A Systematic Review and Meta-Analysis.
Synthesis in Cerebellum (London, England), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
4 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Machado-Joseph disease in Brazil and other South American countries: A systematic Review and Meta-analysis of Prevalence, CAG Repeat Lengths, Age At Onset, and Ancestry.Cerebellum (London, England) · 2025Pooled it
- The Real Life of Ataxia Patients Without a Vertical Family History: a Twenty-year Experience in South Brazil.Cerebellum (London, England) · 2026Article
- Long-read sequencing identifies ATXN3 repeat expansions, and transcriptomics reveals disease progression biomarkers and druggable targets for spinocerebellar ataxia type 3.BMC neurology · 2025Article
- SCA1 in Brazil: Local Cohort Profile and Scientific Contributions.Cerebellum (London, England) · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The Spinocerebellar Ataxias (SCAs) are a group of autosomal dominant neurodegenerative disorders characterized by progressive cerebellar ataxia, affecting motor coordination. SCAs are reported globally with large geographical and ethnic differences. This systematic review and meta-analysis aimed to update the frequency, and geographic distribution of SCAs in Latin America, including recently identified SCAs like SCA27B. We conducted a systematic search in PubMed, Scopus, LILACS, SciELO, and Web of Science databases, including studies published from inception to January 2025. We included 27 studies for the systematic review and 18 studies for the meta-analysis that met the inclusion criteria, representing a total of 5859 participants across eleven countries. Our meta-analysis revealed that about 50% (95% CI 26-74%) of hereditary ataxias in Latin America were confirmed to have a genetic diagnosis of SCA. The included participants with a known SCA have the following proportions: MJD/SCA3 (15%), SCA2 (11%), SCA7 (4%), SCA10 (3%), and SCA1 (3%). Geographic distributions were notable, MJD/SCA3 in Brazil, SCA2 in Cuba, Argentina and Mexico, SCA10 predominating in Peru, and SCA7 in Venezuela. Recently identified SCA types, like SCA27B and one case of SCA4, were identified in Brazil. In 22 countries there are no published studies on the epidemiology of SCAs. The distribution of SCAs in Latin America reflects the influence of historical migrations, founder effects, and ancestries, emphasizing regional heterogeneity. Our findings underscore the critical need for further epidemiological studies, particularly in understudied countries in the region.
Indexed as
Identifiers
40138010What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.