Recurrent Focal Myositis of the Thigh in a Patient With End-Stage Kidney Disease: An Unusual Association
Bibliographic record
Abstract
A 40-year-old woman, with a ten-year history of diabetes and hypertension, was diagnosed with end-stage kidney disease necessitating regular hemodialysis twice weekly for the past year. The patient reported recurrent episodes of swelling and pain in the left thigh, initially treated as cellulitis. The pain was persistent and there was an ill-defined firm lump in the thigh muscle. Biopsy of the mass revealed endomysial mononuclear cell infiltrates, including lymphocytes and histiocytes, focal muscle fiber necrosis, and regeneration, indicating an inflammatory myopathy. MRI of the thigh confirmed patchy myositis with no definitive collection or mass identified. Focal myositis was diagnosed and the patient was managed expectantly with physiotherapy and analgesics. Over a span of approximately three months the condition completely resolved. Muscle pain in end-stage kidney disease often stems from causes such as peripheral neuropathy, critical lower limb ischemia, muscle cramps due to electrolyte abnormalities, and chronic infection. Focal myositis is rarely documented in literature and only a few cases of recurrent focal myositis have been reported previously in patients with end-stage kidney 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 | 0.003 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.004 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".