The impact of deep brain stimulation on apathy in parkinson\'s disease patients.
Bibliographic record
Abstract
AIM: To investigate the impact of subthalamic deep brain stimulation (STN DBS) on apathy and the possible relationship between apathy, depression, and levodopa equivalent dosage (LED) in Parkinson's Disease (PD) patients. MATERIAL AND METHODS: A total of 26 patients have been evaluated via the Unified Parkinson Disease Rating Scale (UPDRS), Beck Depression Inventory (Beck D), and Beck Anxiety Inventory (Beck A), Montreal Cognitive Assessment (MoCA), Parkinson Disease Questionnaire (PDQ-39) just before and 6 months after DBS. RESULTS: Apathy scores (AES) showed a slight decrease from 54.00 ± 10.30 to 52.69 ± 8.88 without any statistical significance (p=0.502) after DBS therapy. No correlation was detected between the post-treatment changes in apathy and UPDRS scores, Beck D, Beck A. Although the direction of the correlation between changes in AES scores and LED values was negative, the results did not reach statistical significance. CONCLUSION: STN DBS therapy does not have a negative effect on apathy in PD Patients. Despite the satisfactory motor improvement, conservative dopaminergic dose reduction after surgery seems to be the main point to prevent apathy increase in PD patients after STN DBS.
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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 | 0.001 |
| 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".