Calciphylaxis in a Patient With Non-Hodgkin Lymphoma: Case Report and Literature Review
Bibliographic record
Abstract
BACKGROUND: Calciphylaxis is a well-known entity in end-stage kidney disease and after renal transplant. Cases of nonuremic calciphylaxis (NUC) have also been reported, but data on this rare condition are mainly empirical. OBJECTIVE: We discuss a case of NUC secondary to spontaneous tumour lysis syndrome in a patient who had chemotherapy for non-Hodgkin lymphoma and present a review of the literature to better characterize malignancy-associated NUC. METHODS: We identified 12 published cases of malignancy-associated NUC. RESULTS: This systematic review of malignancy-associated NUC did not show a relationship between the type of malignancy, the distribution of skin lesions, or mortality. However, distal more than proximal involvement seems to be more frequently associated with calcium phosphate imbalance. CONCLUSION: Clinicians must maintain a high index of suspicion for calciphylaxis when evaluating patients with cutaneous lesions developed in the setting of malignancy.
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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 | 0.001 |
| Bibliometrics | 0.006 | 0.005 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".