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Record W4414000683 · doi:10.18103/mra.v13i8.6851

Surgical Decompression in the Management of Lower Extremity Diabetic Peripheral Neuropathy: A Narrative Review

2025· review· en· W4414000683 on OpenAlex
Timothy J. Best

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueMedical Research Archives · 2025
Typereview
Languageen
FieldMedicine
TopicPeripheral Nerve Disorders
Canadian institutionsNOSM University
Fundersnot available
KeywordsMedicinePeripheral neuropathyNarrative reviewNarrativeDecompressionSurgical decompressionPeripheralDiabetic neuropathySurgeryPhysical medicine and rehabilitationPhysical therapyDiabetes mellitusInternal medicineIntensive care medicineLiteratureArt

Abstract

fetched live from OpenAlex

Diabetic peripheral neuropathy commonly develops in patients with diabetes mellitus. Standard medical treatments help a minority of patients with the amelioration of pain, but do not modify the course of the illness. Treatment of diabetic peripheral neuropathy with surgical decompression of lower extremity nerves is controversial. However, the surgery has the potential to ameliorate pain and to improve quality of life in patients suffering with painful neuropathy; it also has the potential to modify the course of the disease, improving protective sensation of the skin of the foot, decreasing the probability of ulcer formation and subsequent amputation. This review will briefly look at the etiology of diabetic peripheral neuropathy and the rationale for nerve decompression surgery as a treatment option. Surgery for upper extremity nerves, and diagnostic criteria will be followed by an examination of the evidence published to date on the validity of nerve decompression surgery in the treatment of diabetic neuropathy.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesResearch integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.848
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.002
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.003
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.066
GPT teacher head0.459
Teacher spread0.394 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it