The Two Faces of Pediatric <scp>SCA2</scp>
Bibliographic record
Abstract
INTRODUCTION: Spinocerebellar ataxia type 2 (SCA2) is an autosomal dominant neurological disease usually described in adults. Expanded CAG repeats in the ATXN2 gene can lead to pediatric onset. This study aims to describe the natural history of SCA2 in children. METHODS: We analyzed clinical and genetic data from 22 children with SCA2 across 17 institutions and compared them to 20 previously reported cases. RESULTS: The phenotype of pediatric SCA2 can be divided into two distinct groups based on CAG repeat size and age. In the infantile group (n = 9), developmental delay and seizures were prominent features, along with cerebellar and cerebral atrophy. In the juvenile group (n = 13), the disease was a cerebellar degeneration similar to adults. A threshold of 88 ± 4 CAG repeats distinguished the infantile group from the juvenile group. Pediatric SCA2 type was independent of parental origin; SCA2 was maternally inherited in 22%, including three infantile presentations. DISCUSSION: This large cohort of pediatric SCA2 disease provides the first comprehensive description of its characteristics, which differ from those of SCA7. Indeed, the phenotypic spectrum of SCA7 in children is continuous, while that of SCA2 is bimodal. Although pediatric SCA2 can be difficult to diagnose by genome-wide sequencing, it is a recognizable disease that can be easily diagnosed with a targeted study of the number of CAGs in ATXN2. Genetic counseling for families should consider the significant proportion of maternal transmission.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".