Bibliographic record
Abstract
A 60-year-old African American man with end stage renal disease on hemodialysis (HD) for the past 2.5 years developed severe hyperparathyroidism. Other past medical history included atrial fibrillation, type II diabetes mellitus, hypertension, gout, pericardial effusion needing pericardial window, deep vein thrombosis, mitral insufficiency, and cardiomyopathy with implantable cardioversion device placement. His parathyroid hormone (PTH) level peaked at 4,191 pg/mL despite being on cinacalcet, sevelamer, and paricalcitol. He underwent a subtotal parathyroidectomy in January 2015, after which his PTH levels dropped to 184 pg/mL. Approximately 4 weeks later he developed extensive, painful necrotic skin lesions in both his lower extremities and buttocks, suggestive of calciphylaxis which was confirmed by tissue biopsy. The patient was treated with elaborate wound care, wound debridements, increased dialysis dose, and IV sodium thiosulfate (STS) during hemodialysis. Besides STS, he was treated with narcotics, gabapentin, topical lidocaine on intact skin, and oral steroids for pain control. Even though his lesions improved initially, he deteriorated due to recurrent sepsis, respiratory failure, and prolonged hospitalization which culminated in stopping dialysis before he passed away. Calciphylaxis, or calcific uremic arteriolopathy, is a life-threatening complication of end stage renal disease. Treatment of this condition is multidisciplinary which includes elaborate wound care, increasing dialysis dose, and discontinuing vitamin D supplements and calcium containing phosphate binders. Even though STS has been recommended off-label, several studies have shown promising results with resolution of lesions. Thus, sodium thiosulfate has become the mainstay of treatment. Parathyroidectomy is a recommended modality of treatment in those with high PTH levels. Our case was unique in that calciphylaxis developed after subtotal parathyroidectomy. We believe that this is due to a decreased PTH level and decreasing bone turnover which resulted in more circulating calcium facilitating vascular and soft tissue calcification. The exact mechanism of developing calciphylaxis after parathyroidectomy is unknown. Even though parathyroidectomy is an effective treatment for calciphylaxis, clinicians should be aware that it can rarely present after parathyroidectomy.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".