Rating Scales for Motor Symptoms and Signs in Huntington's Disease: Critique and Recommendations
Bibliographic record
Abstract
Motor symptoms are a major feature of Huntington's disease (HD). The International Parkinson and Movement Disorder Society (MDS) commissioned the assessment of the clinimetric properties of motor rating scales in HD to make recommendations regarding their use, following previously established standardized criteria. After a systematic literature search, a total of 6 rating scales assessing motor symptoms and signs in HD were included for review. Performance testing (reviewed elsewhere) and quantitative motor rating methods were excluded. Only the Unified Huntington's Disease Rating Scale-Total Motor Score (UHDRS-TMS) was classified as "recommended" for assessing the severity of motor signs in HD. The following scales were classified as "suggested": Abnormal Involuntary Movement Scale, the UHDRS-TMS4, the Quantified Neurological Examination, and the Marsden and Quinn Chorea Severity Scale. The committee also concluded that further assessment of existing rating scales, including the UHDRS-TMS, is necessary to determine sensitivity to change and to screening for the presence of motor signs specific to HD. There is also a need to develop a motor rating scale to be used in positive gene carriers with subtle but not definite motor signs.
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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 | 0.114 | 0.248 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.006 | 0.008 |
| Bibliometrics | 0.008 | 0.007 |
| Science and technology studies | 0.001 | 0.004 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.012 | 0.003 |
| Research integrity | 0.007 | 0.012 |
| Insufficient payload (model declined to judge) | 0.003 | 0.003 |
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".