Non-motor symptoms in Parkinson’s disease: a practical approach
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Non-motor symptoms of Parkinson's disease (PD) drive disability, reduce quality of life and increase healthcare resource use. Yet, they are often under-recognised in time-limited clinics. We outline an evidence-informed approach for everyday neurology. We propose brief previsit process followed by in-visit prioritisation of one or two high-impact symptoms and simple education/resources for the rest. Psychosis requires clinicians to address triggers, simplify dopaminergic therapy and use PD-safe antipsychotics when required. Mood and anxiety benefit from optimised dopaminergic regimens, selective serotonin reuptake inhibitors/serotonin-norepinephrine reuptake inhibitors, counselling, exercise and online cognitive-behavioural programmes. Cognitive impairment warrants regular screening and medication review; cholinesterase inhibitors are indicated for dementia. Sleep management includes treating contributing factors, hygiene measures and cautious hypnotic use. Pain and autonomic dysfunction require pragmatic, stepwise strategies tailored to real-world practice. We include special considerations for atypical Parkinsonism and caregiver needs. Integrating these steps into routine visits improves safety, function and patient-carer well-being.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it