Clinical features of dopamine agonist withdrawal syndrome in a movement disorders clinic
Bibliographic record
Abstract
BACKGROUND: Recently, symptoms similar to addictive drug withdrawal have been reported in a structured longitudinal study of patients with idiopathic Parkinson's Disease (PD) withdrawing from dopamine agonists (DA): the dopamine agonist withdrawal syndrome (DAWS). OBJECTIVES: The objective of this study was to establish the frequency, predictors, and outcomes of DAWS in a movement disorders clinic. METHODS: We conducted a retrospective chart review of a sample of patients with a clinical diagnosis of PD treated with DA in whom withdrawal or attempted withdrawal of DA was carried out because of adverse effects, or for any other reason. Out of 487 PD patient charts reviewed, 84 were withdrawn from the agonists and were evaluable. RESULTS: Thirteen patients (15.5%) met criteria for DAWS (DAWS+) and 71 did not (DAWS-). DAWS developed upon withdrawal from pergolide, pramipexole and ropinirole, and did not respond to levodopa. DAWS outcomes included recovery in less than 6 months in 61%, in more than a year in 23%, and an inability to discontinue DA in 15% of patients. Development of impulse control disorders was the reason for DA withdrawal in all DAWS+, but only in 41% of DAWS- patients (p<0.0001). DAWS+ and DAWS- patients did not differ in other variables. CONCLUSION: DAWS is a disabling complication of DA use. Critical features of the syndrome are the strong link with impulse control disorders, possibly the independence of DA dosage and type, and the resistance to treatment, including levodopa. Further studies are required to characterise those at risk as well as to define an effective treatment.
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How this classification was reachedexpand
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".