Surgical Treatment of Neuromas Improves Patient-Reported Pain, Depression, and Quality of Life
Bibliographic record
Abstract
BACKGROUND: Surgical management of neuromas is difficult, with no consensus on the most effective surgical procedure to improve pain and quality of life. This study evaluated the surgical treatment of neuromas by neurectomy, crush, and proximal transposition on improvement in pain, depression, and quality of life. METHODS: Patients who underwent neuroma excision and proximal transposition were evaluated. Preoperative and postoperative visual analogue scale scores for pain (worst and average), depression, and quality of life were assessed using linear regression, and means were compared using paired t tests. The Disabilities of the Arm, Shoulder, and Hand questionnaire score was calculated preoperatively and postoperatively for upper extremity neuroma patients. Patients with long-term follow-up were analyzed using repeated measures analysis of variance comparing preoperative, postoperative, and long-term visual analogue scale scores. RESULTS: Seventy patients (37 with upper extremity neuromas and 33 with lower extremity neuromas) met inclusion criteria. Statistically significant improvements in visual analogue scale scores were demonstrated for all four patient-rated qualities (p < 0.01) independent of duration of initial clinical follow-up. The change in preoperative to postoperative visual analogue scale scores was related inversely to the severity of preoperative scores for pain and depression. Neuroma excision and proximal transposition were equally effective in treating lower and upper extremity neuromas. Upper extremity neuroma patients had a statistically significant improvement in Disabilities of the Arm, Shoulder, and Hand questionnaire scores after surgical treatment (p < 0.02). CONCLUSIONS: Surgical neurectomy, crush, and proximal nerve transposition significantly improved self-reported pain, depression, and quality-of-life scores. Surgical intervention is a viable treatment of neuroma pain and should be considered in patients with symptomatic neuromas refractory to nonoperative management. CLINICAL QUESTION/LEVEL OF EVIDENCE: Therapeutic, IV.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.002 | 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".