Precision approach to diabetic peripheral neuropathy: modified nerve decompression surgery and MNGF treatment
Bibliographic record
Abstract
Background Diabetic peripheral neuropathy (DPN) is a common and debilitating complication of diabetes, often resulting in pain, sensory loss, and lower limb ulcers. While traditional nerve decompression (ND) surgery can alleviate symptoms, it is associated with several limitations, including excessive surgical trauma, postoperative fibrosis, and limited efficacy in advanced cases. To address these challenges, this study aimed to precisely target anatomical sites of peripheral nerve compression identified through cadaveric dissection, perform selective decompression to minimize nerve injury, and investigate the therapeutic potential of combining modified ND with murine nerve growth factor (MNGF) to enhance clinical outcomes. Methods In this assessor-blinded, three-arm exploratory randomized controlled trial, 42 patients with confirmed lower limb DPN were randomly assigned to one of three groups: traditional ND ( n = 12), modified ND ( n = 16), or modified ND combined with MNGF therapy ( n = 14). Modified ND involved selective decompression of tendon-like structures without extensive epineurial dissection. Clinical outcomes were assessed preoperatively and at 4 and 12 weeks postoperatively using motor nerve conduction velocity (MNCV), Toronto Clinical Scoring System (TCSS), visual analog scale (VAS), two-point discrimination (2-PD), 10 g monofilament test, and ultrasound-based nerve cross-sectional area (CSA). Results All groups showed significant improvements in MNCV, TCSS, VAS, 2-PD, and sensory function after treatment ( p < 0.05). The modified ND + MNGF group demonstrated the greatest enhancements in nerve conduction and clinical scores, with significant intergroup differences compared to the traditional ND group ( p < 0.05). Additionally, the modified ND technique reduced surgical trauma and postoperative complications. No severe adverse events were reported. Conclusion Modified ND surgery, particularly when combined with MNGF administration, may offer a safe and minimally invasive treatment option for lower-limb DPN. Further validation in larger, multicenter trials is warranted.
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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 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".