Diabetic muscle infarction in a 57 year old male: a case report
Bibliographic record
Abstract
BACKGROUND: Diabetic muscle infarction is a rare complication of diabetes mellitus (DM) and is often misdiagnosed as cellulitis. This complication is usually associated with poor disease prognosis and high mortality with previous studies reporting a risk of 50% recurrence or another macrovascular complication occurring within one year. Thus, there needs to be greater awareness of this complication of diabetes. CASE PRESENTATION: In the current work, we present a case report and literature review of DMI occurring in a calf of a 57 year old male. However, unlike the suspected trend, our patient has performed well after this incident and has not sustained another macrovascular event now > 15 month since his original diabetic muscle infarction. CONCLUSION: Even though diabetic muscle infarction is an uncommon condition, it is important to consider this diagnosis in a diabetic patient. We hope that our findings and literature review will aid clinicians to better diagnose and manage this condition.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.005 | 0.003 |
| 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".