Therapeutic effect of levodopa-carbidopa-entacapone combined with rTMS in Parkinson's disease.
Bibliographic record
Abstract
Parkinson's disease (PD) is a neurodegenerative disorder characterized by progressive tissue deterioration. This study evaluated the effects of levodopa-carbidopa-entacapone (LCE) combined with high-frequency repetitive transcranial magnetic stimulation (HF-rTMS) in elderly PD patients. Participants were divided into an observation group (HF-rTMS + LCE) and a control group (HF-rTMS alone). Motor and cognitive function, quality of life, and adverse effects were assessed before treatment and at 8 weeks, 16 weeks and 6 months post-treatment. Both groups showed no significant differences in baseline data. However, post-treatment, the observation group demonstrated superior clinical improvements. The Unified Parkinson's Disease Rating Scale-III (UPDRS-III) score significantly decreased from 43.40±3.94 to 34.73±5.05 at 6 months (P<0.01), while the Berg Balance Scale (BBS) score increased from 30.97±5.17 to 46.35±5.75 (P<0.01). The Timed Up and Go test (TUGT) time reduced from 13.12±2.23 seconds to 8.62±2.50 seconds (P<0.01) and the Parkinson's Disease Questionnaire (PDQ-39) score decreased from 37.32±3.69 to 25.75±4.59 (P<0.01). Additionally, the Montreal Cognitive Assessment (MoCA) score increased from 22.05±2.24 to 28.15±1.99 (P<0.001). Adverse effects were similar between groups (16.7% vs. 15%, P>0.05). These results suggest HF-rTMS combined with LCE enhances motor function, balance, cognition, and quality of life in elderly PD patients without increasing adverse effects.
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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".