Non traumatic lower extremity amputations in younger patients: an 11‐year retrospective study
Bibliographic record
Abstract
The purpose of this study was to assess morbidity and mortality in patients undergoing non traumatic lower extremity amputations ≤65 years to identify the specific needs of these younger patients. A retrospective study was conducted to determine the demographics, comorbidity and mortality with below-knee amputations and above-knee amputations from 1998 to 2008. A total of 203 amputations were performed on 176 patients who were ≤65 years. Major comorbidities and associated physical findings were peripheral vascular disease, diabetes, pain, gangrene, hypertension, ulcer, local wound infection and hypercholesterolemia. Compared to patients who were not deceased post-amputation, those deceased had a higher prevalence of diabetes, renal failure, coronary artery disease (CAD) and sepsis. Significant predictors of mortality were renal failure (hazard ratio [HR] = 4·19; 95% CI 1·96-8·93), CAD (HR = 3·33; 95% CI 1·42-7·81) and amputation site (above-knee) (HR = 3·26; 95% CI 1·51-7·04). This study showed that younger patients may benefit from an interdisciplinary approach in treating local foot ulcers aggressively and optimising their cardiovascular, renal and diabetic risk factors.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".