Decompressive Surgery for Diabetic Neuropathy
Bibliographic record
Abstract
: Triple decompression surgery has been advocated as a treatment for diabetic peripheral neuropathy (DPN). A practice advisory published in 2006 by the American Academy of Neurology concluded that "this treatment alternative should be considered unproven." Since then, multiple cohort studies involving several thousands of patients and 1 nonblind, randomized, controlled trial have been published, suggesting that surgical treatment of DPN has become commonplace in many centers globally. The results of these observational studies suggest that decompressive surgery could result in a substantial reduction of pain and the restoration of sensation in patients with DPN. However, as these studies are all observational in design, the utility of surgery remains unproven. Furthermore, the selection of patients for surgery is based on the incorrect assumption that the presence of a Tinel sign at sites of potential entrapment indicates nerve compression. The utility of surgery could be determined through a randomized, double-blind, sham-controlled trial in which 1 leg is treated with surgical decompression and the other with sham surgery. This design would eliminate a large number of possible confounders and would therefore require only a small number of patients. Such a trial is currently being performed at the University of Texas. The true beneficiaries will be patients with DPN: either decompressive surgery will be established as an evidence-based treatment for millions of patients or they will be spared from potentially harmful surgery with no significant benefit. ABBREVIATION: DPN, diabetic peripheral 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.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.003 |
| Bibliometrics | 0.001 | 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) | 0.000 | 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 teacher head, 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".