Epidermal axonal swellings in painful and painless diabetic peripheral neuropathy
Bibliographic record
Abstract
INTRODUCTION: The pathophysiology of neuropathic pain (NeP) in diabetic peripheral neuropathy (DPN) is unclear. A potential pathological feature associated with intraepidermal nerve fiber density (IENFD) loss in DPN is axonal swellings. METHODS: We determined the prevalence of intraepidermal axonal swellings in DPN patients with or without NeP and compared the findings with diabetes patients without DPN, patients with idiopathic neuropathy with NeP, and control subjects. The primary outcome measure was the ratio of axonal swellings to IENFD. Secondary outcome measures included clinical neuropathy severity and assessment for messenger RNA for voltage-gated sodium and calcium channels. RESULTS: IENFD was depressed in DPN (with/without pain) and in idiopathic neuropathy patients. Axonal swelling ratios were similar for DPN subjects with and without pain. There was no overexpression of voltage-gated ion channels in epidermis from DPN patients. Clinical neuropathy severity was only related to IENFD. CONCLUSIONS: There was no clinical relationship to pain or clinical neuropathy severity for axonal swellings in DPN.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| 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) | 0.002 | 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".