Ciprofloxacin-induced ANCA-negative cutaneous and renal vasculitis--resolution with drug withdrawal
Bibliographic record
Abstract
Sir, A 50-year-old male with a history of hypertension underwent cystoscopy for gross haematuria. A bladder tumour was resected cystoscopically, and subsequently proved to be benign. He presented one week later with fever, delirium and right-sided flank pain. He was admitted with a diagnosis of urosepsis, and treated with ampicillin and gentamicin intravenously. His clinical condition rapidly improved, and was discharged 4 days later on oral ciprofloxacin. Ten days after discharge, he developed a skin rash on his legs. The rash was an initially red, palpable purpura that progressed to purplish lesions that ultimately ulcerated. He had no other symptoms suggestive of systemic vasculitis. The patient was started on a tapering dose of oral prednisone for what was felt to represent a cutaneous vasculitis, and his ciprofloxacin was discontinued after 10 days of therapy. His rash improved significantly, with the ulcerative lesions healing over the course of the next 1 month, and the steroids were discontinued.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.013 | 0.007 |
| 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".