Motor and nonmotor symptoms in patients treated with 24-hour daily levodopa-carbidopa intestinal gel infusion: Analysis of the COmedication Study assessing Mono- and cOmbination therapy with levodopa-carbidopa inteStinal gel (COSMOS)
Bibliographic record
Abstract
INTRODUCTION: Patients with advanced Parkinson's disease (APD) commonly experience motor and nonmotor symptoms (NMS) associated with functional limitations and decreased quality of life. We compared motor and nonmotor outcomes in patients with APD receiving 24- versus 16-h levodopa-carbidopa intestinal gel (LCIG). METHODS: Data from COSMOS, a large, real-world, retrospective and cross-sectional, observational study on LCIG and comedication in APD were obtained from medical records and a single patient visit for patients receiving 24- and 16-h LCIG infusion. Changes from baseline were evaluated for motor symptoms, NMS, and clinical characteristics. Safety was also assessed. RESULTS: Data for 401 patients were included in this subanalysis. At the patient visit there were 35 patients on 24-h LCIG and 366 on 16-h LCIG. "Off" time and dyskinesia (duration and severity) were reduced in both groups. In both LCIG treatment groups, prevalence of most symptoms was reduced. There were significant differences in the change from baseline in severity and frequency of freezing of gait with 24-h LCIG versus 16-h LCIG (p = 0.011 and p = 0.038), severity of urinary symptoms (p = 0.006), and frequency of cognitive impairment (p = 0.014) with 24-h LCIG versus 16-h LCIG. Adverse events were similar for both treatment groups and considered tolerable. CONCLUSIONS: LCIG 24-h infusion may be a useful treatment option, when clinically justified, for select patients with APD. CLINICAL TRIAL NUMBER: NCT03362879.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".