How to Spot Cocaine-Induced Pseudovasculitis
Bibliographic record
Abstract
The prevalence of cocaine-induced pseudovasculitis (CIP) causing cutaneous destruction is increasing, and plastic surgeons need to be aware of this condition because they are a part of the multidisciplinary treatment team. Differentiation of CIP from a true autoimmune vasculitis can be exceedingly challenging, and misdiagnosis with ensuing treatment may be fatal. This article is a succinct review of CIP, guided by a clinical case of 30% total body surface area skin necrosis, to familiarize the reader with this syndrome. Diagnostic aids include history of cocaine use, localized disease manifestation to skin or mucosa, discordance of antineutrophil cytoplasmic antibody and target antibody patterns typical for true vasculitis, and testing for antihuman neutrophil elastase and levamisole. Treatment is primarily supportive, and wound care, with regard to dressings and surgery, is a cross between to that of burns and meningococcemia patients.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".