Diabetic Foot and Fungal Infections: Etiology and Management from a Dermatologic Perspective
Bibliographic record
Abstract
Diabetes Mellitus (DM) is a significant global concern. Many diabetic patients will experience complications due to angiopathy, neuropathy, and immune dysfunction, namely diabetic foot ulcers (DFU) and diabetic foot infections (DFI), which can result in lower limb amputation and potentially death. The prevalence of common superficial fungal infections, such as tinea pedis and onychomycosis, can directly increase a diabetic patient's risk of developing both DFU and DFI. In this review article, we discuss the etiology of diabetic foot complications as well as considerations for both screening and management. We also discuss the role of the dermatologist within a multidisciplinary care team in prescribing and managing treatments for tinea pedis and onychomycosis infections within this patient population. We believe that reducing the burden of these fungal infections in the context of the diabetic foot will help reduce DFU and DFI complications and their associated morbidity and mortality.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".