Application of a distant, direct, single-pedicle hinge flap for reconstruction of a circumferential cutaneous defect of the thoracic limb in a dog.
Bibliographic record
Abstract
A 4-year-old, neutered male, mixed-breed dog initially presented to a tertiary referral center for suspected mushroom intoxication and subsequent necrotizing fasciitis of the right thoracic limb. One day after presentation, a fasciotomy was carried out to remove necrotic tissue, leaving an extensive cutaneous defect spanning from axilla to carpus and occupying 75 to 100% of the circumference of the limb. Following establishment of a bed of granulation tissue, a distant, direct, single-pedicle flap was performed using the lateral thoracoabdominal skin. The limb was flexed at the shoulder and secured to the body wall during flap healing. Staged division of the flap was initiated 20 d after flap harvesting and completed 3 d later. Complete reconstruction of the large circumferential cutaneous defect was obtained 56 d after initial presentation. No major complications were encountered. At 387 d postoperatively, the dog had clinically normal limb function and was free of lameness. Key clinical message: This case report demonstrates the successful use of a distant, direct, single-pedicle hinge flap for reconstruction of a large thoracic limb wound spanning from axilla to carpus in a dog. This technique should be considered a viable limb-sparing, surgical option for resolution of extensive cutaneous thoracic limb wounds.
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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) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".