Unusual motor and non-motor symptoms and signs in the early stage of Parkinson’s disease
Bibliographic record
Abstract
OBJECTIVE: Patients with Parkinson's disease (PD) may present with unusual motor and non-motor symptoms and signs in the early stage of the disease. METHODS: Cases were collected over a five-year period at two tertiary movement disorders clinics. All had a diagnosis of PD with unusual presentations defined retrospectively as the presence of complaints not objectively related to any of the classic cardinal signs of parkinsonism or the typical early non-motor features of PD. RESULTS: A total of 15 early PD patients fulfilled the proposed criteria, presenting with symptoms such as atypical tremors, shoulder pain, signs related to the rigid akinetic syndrome, as well as cases of asthenia, rhinorrhea, parosmia, dysgeusia, nocturnal sialorrhea, and color discrimination disorders. CONCLUSIONS: Unusual motor and non-motor symptoms and signs in the early stage of PD can be difficult to interpret. Specialists should be aware of these conditions as clues to a potential diagnosis.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".