Phenotype Standardization for Immune-Mediated Drug-Induced Skin Injury
Bibliographic record
Abstract
Advances in genetic research and molecular biology techniques have made it possible to begin to characterize the underlying genetic factors that predispose patients to serious forms of drug-induced skin injury (DISI). To facilitate research in this area, we have set out standardized phenotypic definitions for (i) Stevens-Johnson syndrome/toxic epidermal necrolysis (SJS/TEN), (ii) acute generalized exanthematous pustulosis (AGEP), and (iii) hypersensitivity syndrome (HSS; also known as drug reaction with eosinophilia and systemic symptoms (DRESS) and drug-induced hypersensitivity syndrome (DIHS)). A DISI Expert Working Group comprising participants with varied expertise reviewed and debated current terminology and diagnostic criteria for DISI and agreed on the minimum phenotypic criteria for selected forms of DISI (SJS/TEN, AGEP, and HSS). In addition, an algorithm has been developed to aid appropriate clinical categorization of patients with DISI. These standardized criteria will be important in facilitating adequate and accurate patient recruitment in order to advance research in pharmacogenomic, immunological, mechanistic, and epidemiological studies.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.002 |
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".