Reclaiming Autologous Amputated Tissue for Limb Salvage of a Diabetic Foot Burn with Underlying Critical Limb Ischemia
Bibliographic record
Abstract
BACKGROUND: Diabetes mellitus is a worldwide pandemic that impacts more than 387 million people, with 29 million individuals affected in the United States alone. Diabetic patients have a 25% lifetime risk of developing a diabetic foot ulcer (DFU). Having a DFU is associated with a risk of recurrence approaching 70%. In addition, 1 in 6 patients with DFU will have a lower-limb amputation, with an associated increase in mortality ranging from 47% to 70%. Therefore, limb salvage is critical in patients with DFU. CASE STUDY: This article describes the case of a 70-year-old man with diabetes mellitus, end-stage renal disease, and peripheral arterial occlusive disease who presented with a 1.5% total-body-surface-area, third-degree burn to the left hallux with dry gangrene extending to the midfoot. Ankle brachial indexes were 0.66 on the left and 0.64 on the right. Toe pressures on the left were absent because of extensive dry gangrene. His right foot had a prior transmetatarsal amputation. Using a retrograde pedal approach, a chronic total occlusion of the left posterior tibial artery was recanalized with balloon angioplasty. He then underwent a transmetatarsal amputation with closure, except that the plantar medial side could not be closed without tension. Therefore, an autologous full-thickness skin graft, from the amputation specimen, was used to bridge the defect. DISCUSSION: At 32-week follow-up, the wound was healed, the graft had fully incorporated, and the patient was ambulating well using custom orthotic footwear. The creative use of amputated tissue to assist with wound coverage has not been well described in the literature.
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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 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".