Stewart-Treves Syndrome in Obesity-Associated Chronic Lymphedema: A Case Report
Bibliographic record
Abstract
Stewart-Treves syndrome (STS) is defined as the development of cutaneous angiosarcoma in the presence of long-standing lymphedema and is a rare disease with only about 400 cases reported in world literature. We report a case of a 63-year-old morbidly obese woman with a long-standing history of lymphedema who developed angiosarcoma of the right lower extremity with metastasis and presented with acute respiratory distress. The patient underwent a thorough laboratory workup with a chest X-ray showing bilateral effusions. The hematology-oncology service was consulted and found the patient to have significant progression of angiosarcoma causing respiratory failure and cardiac instability. A decision to transition to hospice care was made and the patient eventually passed away in the intensive care unit. We present this case to raise awareness of STS in medical literature to understand its clinical manifestations better. Early detection is imperative as angiosarcoma is commonly an aggressive disease.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.002 | 0.003 |
| 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".