Toxic Epidermal Necrolysis Spectrum Management at Sunnybrook Health Sciences Centre: Our Multidisciplinary Approach After Review of the Current Evidence
Bibliographic record
Abstract
Toxic epidermal necrolysis spectrum (TENS) is a rare yet severe adverse drug reaction associated with a high mortality rate. Beyond supportive care, there is still no established therapy for TENS, although recent meta-analyses and UK guideline recommendations have attempted to offer a review of relevant literature on this difficult topic. As most directed treatments lack clear consensual evidence, care centres often resort to establishing their own strategies. As Canada's largest adult burn centre and the provincial reference centre for most burn patients in Ontario, our team at the Ross Tilley Burn Centre, in collaboration with the Department of Dermatology at Sunnybrook Health Sciences Centre, Toronto, Canada, has managed over 60 confirmed cases of TENS over the past 2 decades. We would like to share our management, experience, and present our treatment protocol that we recently established by a collaborative multidisciplinary team approach to help guide treatment of these complex patients not only in Canada but worldwide.
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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 | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.005 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".