Subthalamic nucleus‐deep brain stimulation for early motor complications in Parkinson's disease—the EARLYSTIM trial: Early is not always better
Bibliographic record
Abstract
Subthalamic nucleus deep brain stimulation (STN-DBS) has revolutionized the management of disabling motor complications in Parkinson's disease. The EARLYSTIM trial applied this treatment to patients who had been experiencing motor complications for less than three years. STN-DBS significantly improved all primary and secondary outcome measures while best medical therapy failed to provide any improvement at the two-year follow-up time point. On face value these results strongly favor the application of STN-DBS far earlier than is currently applied, when patients are just beginning to experience problems with motor complications. Here we review the application of early DBS and the EARLYSTIM trial from the perspectives of clinical issues, health economics and study design and patient expectation of benefit. We conclude that the most relevant issue is not when to operate but on whom and that early is not always better. © 2014 International Parkinson and Movement Disorder Society.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".