Alterations of non-motor symptoms in Parkinson's disease, after of subthalamic deep brain stimulation
Bibliographic record
Abstract
The effect of subthalamic deep brain stimulation (STN DBS) on motor symptoms of Parkinson's disease (PD) has been thoroughly analyzed. The influence of STN DBS on non-motor symptoms (NMS) is still debatable. We analyzed the effect of STN DBS on NMS in PD. Materials and methods: 17 PD patients were qualified for STN DBS according to CAPSIT-PD criteria. Demographic data and clinical status according to the Hoehn-Yahr (H-Y) were recorded. The efficacy of STN DBS on NMS was measured with the NMS Scale before surgery and twelve months after surgery. Results: Global NMS Scale score decreased by 1-75 points (mean 25,67) in 12 patients. No improvement or deterioration was reported in 5 patients (29%). The mean age of the improved group was 56 years and 59,8 years in the non-improved group. The mean duration of PD in the improved group was 11 years and 21 years in the non-improved group. In the non-improved group, four patients were rated 4 and one patients 3 according to the H-Y Scale. In the improved group, two patients were rated 4, six patients 3 and four patients 2 according to the H-Y Scale The most significant improvement of the NMS Scale was recorded in the domain IV- Perceptual problems/Hallucinations- (by 77%), domain I- Cardiovascular including falls- (by 68%) and domain III- Mood/Cognition- (by 58%). Deterioration of the NMS Scale was reported in the domain IX- Miscellaneous- (by 10%) and the domain VII- Urinary- (by 6%). Conclusions: STN DBS has a positive impact on NMS among PD patients. The most important factors that influence improvement are: young age, short disease duration, and good clinical status measured with the H-Y Scale. The NMS Scale domains that tend to respond the best are the domains I, III and IV. The NMS Scale domains that might deteriorate after STN DBS are the domains VII and IX.
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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 | 0.000 | 0.000 |
| 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) | 0.000 | 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".