[A study on neurosurgical treatment for phantom limb pain].
Bibliographic record
Abstract
OBJECTIVE: To study the clinical effect of combination of mesencephalotomy with bilateral anterior cingulotomy, and destroy spinal cord dorsal root entry zone (DREZ) treatment for phantom limb pain (PLP). METHODS: Fifteen patients suffering from PLP secondary to amputation were treated with neurosurgical procedures, including 7 cases of left upper limb pain, 4 cases of right upper limb pain, 1 case of left lower limb pain and 3 cases of right lower limb pain. Group A, the mesencephalotomy and bilateral anterior cingulotomy, were co-performed in 4 patients. Group B, the other 11 patients were treated with DREZ lesion on the same side in the C5-T1 or L2-S1 spinal cord segments. The visual analog scale (VAS) and the McGill pain questionnaire (MPQ) were used for preoperative and postoperative evaluation of the pain status of each patient. Statistical analyses were conducted using paired-samples t test. RESULTS: All cases had pain relief immediately after operation and did not take medicine. In group A, the short-term (3 months) follow-up results indicated a significant reduction in patients' pain scales (P < 0.01), but pain recurred in 4-18 months after operation. In group B, one patient died of serious lung infection at 2 months after operation. The other 10 patients had pain relief satisfactorily in long-term follow-up period (12-24 months postoperative, P < 0.05). There were no serious complication and surgery-related mortality. CONCLUSION: The cooperation of mesencephalotomy and bilateral anterior cingulotomy, DREZ lesion are effective methods for relieving PLP. DREZ lesion has a good long-term effect.
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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) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".