Peripheral Neuropathy for Dermatologists: What If Not Diabetic Neuropathy?
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.
Bibliographic record
Abstract
BACKGROUND: Patients with cutaneous manifestations associated with peripheral neuropathy often present to the dermatologist's office. OBJECTIVE/METHODS: This article outlines a practical approach for obtaining the history, performing a screening physical examination, and ordering initial diagnostic testing to diagnose the cause of nondiabetic neuropathy. When to refer for neurologic consultation and principles of management of neuropathic pain and neuropathy-related ulcers are also discussed. RESULTS: Cutaneous manifestations of peripheral neuropathy may be secondary to a medical condition predisposing the patient to neuropathy or a manifestation of neuropathy itself. In the latter category, skin affected by neuropathy may show characteristics of xerosis, anhidrosis, rubor, edema, callus, ulceration, muscle wasting, and foot deformity. Most often these findings occur in association with diabetic neuropathy; however, many other infectious, inflammatory, metabolic, paraneoplastic, hereditary, and medication- or toxin-related causes should be considered. The treatment of cutaneous manifestations of neuropathy includes pressure downloading, control of edema, and optimal ulcer and neuropathic pain management. CONCLUSION: It is important for dermatologists to have a basic approach to neuropathy in patients with related skin disease. Referral to Neurology is warranted when basic workup for reversible causes is negative or for any severe, rapidly progressive symptoms.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.005 | 0.001 |
| 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 | 0.001 |
| 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 it