Prospective study of activities of daily living outcomes in children with cerebellar atrophy
Bibliographic record
Abstract
AIM: The aim of this study was to identify clinical and radiological predictors of activities of daily living (ADL) outcomes in children with cerebellar atrophy. METHOD: Over a period of 5 years, we evaluated 44 participants (25 males, 19 females) children with confirmed cerebellar atrophy using magnetic resonance imaging (MRI). The median age at the time of assessment 9 years; range 16 mo-18y. Participants were grouped according to whether the cerebellar atrophy was isolated or associated with other radiological abnormalities. Severity of cerebellar atrophy was graded using qualitative and quantitative scoring systems. A standardized ADL assessment was used to characterize functional outcomes. The characteristics of the participants were analysed using descriptive statistics. RESULTS: The mean age at symptom onset was 20 months (range birth-10y). The group with isolated cerebellar atrophy had better outcomes than the group with cerebellar atrophy associated with other radiological abnormalities, with a mean total ADL score difference of 8.0 points (95% confidence interval 1.8-14.2 points, p=0.01). Age at onset of cerebellar atrophy before 2 years of age, progression of cerebellar atrophy on magnetic resonance imaging, presence of seizures, and decreased size of transverse cerebellar hemisphere diameter were all associated with worse outcomes. INTERPRETATION: We present a prospective study of clinical and radiological predictors of ADL outcome in children with cerebellar atrophy. This information may be useful in the diagnosis and future management of this complex group of disorders.
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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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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".