Improved self‐perceived performance for continence problems in patients with Parkinson's disease after deep brain stimulation
Bibliographic record
Abstract
Abstract Background Deep brain stimulation (DBS) is known to improve motor complications in patients with Parkinson's disease (PD); however, we lack information on how it changes self‐perceived performance for activities of daily living. Aim We assessed the degree of change in self‐perceived performance for activities of daily living after DBS. Method We applied the Canadian Occupational Performance Measure (COPM) in 21 patients with PD who underwent DBS before and 1 year after surgery and examined the relationship among the COPM score, motor and cognitive functions, and health‐related quality of life (HRQoL). Results Patients prioritized continence problems, gait, and household work. Self‐perceived performance satisfaction (5.46→8.38, P = 0.02) and execution (5.85→8.88, P = 0.01) for continence problems improved significantly after surgery. Self‐perceived performance satisfaction for gait tended to improve after surgery. Self‐perceived performance for household work did not change after surgery. Self‐perceived performance for continence problems negatively correlated with PD questionnaire (PDQ‐39; r = −0.827, P = 0.007) before surgery and Mini‐Mental State Examination (MMSE; r = −0.918, P = 0.028) after surgery. Conclusion The self‐perceived performance for continence problems improved significantly after DBS and was associated with HRQoL before surgery and MMSE after surgery.
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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 | 0.000 | 0.002 |
| 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 | 0.000 |
| 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".