Spontaneous calf hematoma in a patient with diabetic nephropathy receiving maintenance hemodialysis: A case report and review of the literature
Bibliographic record
Abstract
We report the outcome of a 52-year-old patient with diabetic nephropathy and receiving maintenance hemodialysis (HD) using low molecular weight heparin (LMWH) as an anticoagulant for 2 years. He presented right lower limb pain accompanied with difficulty in walking for 2 months, and had no history of bleeding tendency or trauma. Physical examination revealed marked swelling and tenderness on his right lower limb. By ultrasound and magnetic resonance imaging (MRI) diagnoses, the calf hematoma was diagnosed and identified with venous thrombosis. Following treatment with heparin-free HD, the swelling regressed and pain subsided, and a follow-up MRI showed complete dissolution of hematoma. However, similar symptoms recurred in the right upper limb after 2 months without any predisposition, he was just placed on HD with LMWH, and symptoms regressed following the aforementioned therapy. This suggests that HD patients, especially with diabetic nephropathy having extremity hematoma, should be watched for the development of spontaneous hemorrhage that can be differentially diagnosed by imaging tests, such as MRI, and can be effectively treated with heparin-free HD.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".