Nerve Decompression After Diabetic Foot Ulceration May Protect Against Recurrence
Bibliographic record
Abstract
BACKGROUND: Nerve entrapment, common in diabetes, is considered an associated phenomenon without large consequence in the development of diabetes complications such as ulceration, infection, amputation, and early mortality. This prospective analysis, with controls, of the ulcer recurrence rate after operative nerve decompression (ND) offers an objective perspective on the possibility of frequent occult nerve entrapment in the diabetic foot complication cascade. METHODS: A multicenter cohort of 42 patients with diabetic sensorimotor polyneuropathy, failed pharmacologic pain control, palpable pulses, and at least one positive Tinel's nerve percussion sign was treated with unilateral multiple lower-leg external neurolyses for the indication of pain. All of the patients had healed at least one previous ipsilateral plantar diabetic foot ulceration (DFU). This group was retrospectively evaluated a minimum of 12 months after operative ND and again 3 years later. The recurrence risk of ipsilateral DFU in that period was prospectively analyzed and compared with new ulcer occurrence in the contralateral intact, nonoperated control legs. RESULTS: Operated legs developed two ulcer recurrences (4.8%), and nine contralateral control legs developed ulcers (21.4%), requiring three amputations. Ulcer risk is 1.6% per patient per year in ND legs and 7% in nonoperated control legs (P = .048). CONCLUSIONS: Adding operative ND at lower-leg fibro-osseous tunnels to standard postulcer treatment resulted in a significantly diminished rate of subsequent DFU in neuropathic high-risk feet. This is prospective, objective evidence that ND can provide valuable ongoing protection from DFU recurrence, even years after primary ulcer healing.
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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 | 0.002 |
| 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".