Patient perception of dyskinesia in Parkinson's disease
Bibliographic record
Abstract
OBJECTIVE: To evaluate the perception of patients with Parkinson's disease (PD) regarding dyskinesia. DESIGN: Multicentre survey. SETTING: Tertiary referral centres. PATIENTS: Patients with PD participated in a survey: those not on dopaminergic medications (group I), those on dopaminergic medications without dyskinesia (group II) and those on dopaminergic medications with dyskinesia (group III). INTERVENTION: After a short standardised description and explanation of dyskinesia was provided, patients were asked about the nature and source of prior knowledge of dyskinesia. They were then asked about their perceptions of dyskinesia. Patients in group III were also asked about the duration, the severity of dyskinesia and whether their perception of this problem had changed since its appearance. MAIN OUTCOME MEASURES: Level of concern regarding dyskinesia and whether their perception of dyskinesia would have changed their preference of treatment. Results 259 PD patients completed the survey (group I, 52; group II, 102; group III, 105). Patients with dyskinesia were significantly less concerned about dyskinesia than patients without dyskinesia and were more likely to choose dyskinesia over being parkinsonian. Patients who required fewer changes in medications because of dyskinesia were more likely to choose dyskinesia over parkinsonism. CONCLUSION: Patients with PD experiencing dyskinesia are less likely to be concerned about dyskinesia and more likely to prefer dyskinesia over parkinsonian symptoms than patients without dyskinesia.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.005 |
| 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 | 0.001 | 0.000 |
| 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".