Caracterización clínico-cognitiva de la ataxia espinocerebelosa tipo 2
Bibliographic record
Abstract
Background: spinocerebellar ataxia type 2 is a genetic disease with an autosomal dominant inheritance pattern. It constitutes a health problem for Cuba, especially for the Holguin province, which concentrates the largest sick and at-risk population that has been reported worldwide so far. Objective: to characterize from the clinical and cognitive point of view patients with spinocerebellar ataxia type 2 diagnosed during the years 2018 and 2019. Methods : a retrospective study was carried out in 28 patients with type 2 spinocerebellar ataxia diagnosed at the Holguin Clinic for Research and Rehabilitation of Hereditary Ataxias, which also allowed them to be correlated over time. The sample consisted of 28 patients with a mild stage of the disease to which the Scale for the Assessment and Rating of Ataxia and Montreal Cognitive Assessment Scale were applied to evaluate the progression of the disease from the clinical and cognitive point of view, respectively, with a difference of one year between the two samplings. Results: the mean age of the patients was 50.3 years with a slight predominance of the female sex, the average evolution time was 9.82 years, being longer for the female sex. The mean age of the disease start was 39.54 years. Conclusions: between the two evaluations there was a progression of cerebellar manifestations and a deterioration of cognitive functions was evidenced, giving an important role to the cerebellum in both functions by this study.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".