Survey of Non-motors symptoms in patients with Spinocerebellar ataxia type 10 (P2.134)
Bibliographic record
Abstract
BACKGROUND: Non-motor symptoms (NMS) have been described in several neurodegenerative diseases, impacting on quality of life. There is no systematic evaluation of these clinical features in spinocerebellar ataxia type 10 (SCA10). OBJECTIVE: To compare the frequency of NMS among patients with genetically confirmed SCA10, and an age and sex-matched SCA3/Machado-Joseph disease control group. METHODS: Twenty eight Brazilian patients with SCA10, and a control group with 28 SCA3 patients underwent assessment with a standardized protocol that evaluated chronic pain, autonomic symptoms, fatigue, sleep disturbances, depressive and anxiety symptoms and cognitive assessment using the Mini-Mental Status Examination, Frontal Assessment Battery, verbal fluency and Clock Drawing Test. RESULTS: Mean age was 46.8 ± 11.6 years in SCA10 patients versus 49.7 ± 9.7 years in control group. Symptoms started earlier in SCA10 group (31.7 vs 36.4 years; p=0.02). Chronic pain and fatigue were more frequent in SCA3 patients, although the difference was not statistically significant. In SCA3 group, 22[percnt] of patients related 3 or more autonomic symptoms (vs 8[percnt] in SCA10 patients; p<0.01). REM behavior disorder and restless legs syndrome were significantly more prevalent in the control group (12[percnt] vs 0, p<0.01; 10[percnt] vs 1[percnt], p=0.005, respectively). Mean daytime sleepiness scores were higher in SCA10 patients [8 (4-11.5) vs 6.5 (3-10); p=0.49]. The control group presented higher scores in Beck Depression Inventory (14.5 vs 12.5; p=0.60) and in Hamilton Anxiety Scale (15 vs 8.5; p=0.04). Except verbal fluency, that showed below average in the control group (11.5 vs 13.3; p=0.02), all other tests of cognition showed similar results between the two groups (p>0.05). CONCLUSIONS: Except for daytime sleepiness, all other NMS were more prevalent among SCA3 cases, confirming SCA10 as a more pure form of SCA.
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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 | 0.000 | 0.001 |
| 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 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".