ArticleCerebellum (London, England)2023
The S-Factor, a New Measure of Disease Severity in Spinocerebellar Ataxia: Findings and Implications.
Article in Cerebellum (London, England), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01060371 (Clinical Research Consortium for the Study of Cerebellar Ataxias), which is not on this map. Cited by 6 papers.
What it found
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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.
Clinical Research Consortium for the Study of Cerebellar Ataxias (CRC-SCA) for the Natural History Study of and Genetic Modifiers in Spinocerebellar Ataxias (SCA)
Who cites it
6 citing papers in PubMed, 15 citations in OpenAlex.
- Developing prognostic models that predict onset and progression rates in genetic neurodegenerative diseases: perspectives of healthcare professionals in genetic counselling.Orphanet journal of rare diseases · 2026Article
- Integrated Plasma and Glial Cell Evidence Indicates a Functional Role for hsa-miR-342-5p in Spinocerebellar Ataxia Type 7 and Its Potential Use as a Biomarker.International journal of molecular sciences · 2026Article
- The Cerebellar Cognitive Affective/Schmahmann Syndrome Scale: Updates and Insights.Cerebellum (London, England) · 2025Article
- Predictive machine learning and multimodal data to develop highly sensitive, composite biomarkers of disease progression in Friedreich ataxia.Scientific reports · 2025Article
- Psychomotor and non-motor correlates of cognition in spinocerebellar ataxias Types 1, 2, 3, and 6.Brain communications · 2025Article
- The Cerebellar Cognitive Affective/Schmahmann Syndrome Scale in Spinocerebellar Ataxias.Cerebellum (London, England) · 2024Article
Corrections and comments
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Authors and funding
26 authors at 18 institutions in 1 country.
Funding
Abstract
Spinocerebellar ataxias (SCAs) are progressive neurodegenerative disorders, but there is no metric that predicts disease severity over time. We hypothesized that by developing a new metric, the Severity Factor (S-Factor) using immutable disease parameters, it would be possible to capture disease severity independent of clinical rating scales. Extracting data from the CRC-SCA and READISCA natural history studies, we calculated the S-Factor for 438 participants with symptomatic SCA1, SCA2, SCA3, or SCA6, as follows: ((length of CAG repeat expansion - maximum normal repeat length) /maximum normal repeat length) × (current age - age at disease onset) × 10). Within each SCA type, the S-Factor at the first Scale for the Assessment and Rating of Ataxia (SARA) visit (baseline) was correlated against scores on SARA and other motor and cognitive assessments. In 281 participants with longitudinal data, the slope of the S-Factor over time was correlated against slopes of scores on SARA and other motor rating scales. At baseline, the S-Factor showed moderate-to-strong correlations with SARA and other motor rating scales at the group level, but not with cognitive performance. Longitudinally the S-Factor slope showed no consistent association with the slope of performance on motor scales. Approximately 30% of SARA slopes reflected a trend of non-progression in motor symptoms. The S-Factor is an observer-independent metric of disease burden in SCAs. It may be useful at the group level to compare cohorts at baseline in clinical studies. Derivation and examination of the S-factor highlighted challenges in the use of clinical rating scales in this population.
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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.