Post hoc exploratory analysis of the effect of foslevodopa/foscarbidopa continuous subcutaneous infusion on nocturia in patients with Parkinson’s disease
Bibliographic record
Abstract
Introduction: Parkinson's disease (PD) non-motor symptom burden, including nocturia and sleep disturbances, worsens with disease progression. Continuous dopaminergic drug delivery with nocturnal infusion in PD demonstrated improvements in sleep and nocturia. Foslevodopa/foscarbidopa (LDp/CDp) provides 24-hour continuous drug delivery of levodopa/carbidopa (LD/CD) prodrugs via continuous subcutaneous infusion (CSCI). Methods: Least-squares mean nocturia changes (measured via Parkinson's Disease Sleep Scale-2 item 8) in patients with PD from a randomized 12-week phase 3 trial of LDp/CDp CSCI versus oral LD/CD (NCT04380142) and a 52-week open-label LDp/CDp CSCI phase 3 trial (NCT03781167) were analyzed post hoc via mixed-effects regression and analysis of covariance. Correlation coefficients at baseline (BL) and in change from BL to week 12 or week 52 (Δ BL-wk 12 or Δ BL-wk 52) for nocturia and quality of life (QoL, measured as Parkinson's Disease Questionnaire [PDQ-39] Summary Index score) were calculated via Spearman's test. Results: This exploratory analysis demonstrated significant and sustained improvement in nocturia symptoms from BL with LDp/CDp treatment in both the randomized (to week 12; n = 44; nominal p ≤ 0.01) and open-label (to weeks 6, 13, 26, and 52; with n = 176, 149, 107, and 75, respectively; nominal p ≤ 0.001 for all) trials. Nocturia improvement was significantly greater in LDp/CDp- versus oral-treated patients (n = 59; nominal p ≤ 0.05). A significant positive correlation between nocturia and QoL was shown at BL and between Δ BL-wk 12 in the randomized trial (nominal p ≤ 0.05 for both), while open-label results showed no significant correlations. Conclusions: LDp/CDp-treated patients with PD demonstrated significantly improved nocturia with 24-hour therapy, 12-week nocturia improvements were significantly greater than oral therapy, and patient-reported nocturia may correlate with QoL.
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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 | 0.008 | 0.010 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.005 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".