MétaCan
Menu
Back to cohort
Record W2972039408 · doi:10.1177/1203475419861078

Pediatric SJS/TEN Subdued by a Combination of Dexamethasone, Cyclosporine, and Etanercept

2019· article· en· W2972039408 on OpenAlexaff
Jérôme Coulombe, Eugénie Belzile, Amélie Duhamel, Pauline Rault, Chantal Buteau, Jean Jacques De Bruycker, Jean‐François Bussières

Bibliographic record

VenueJournal of Cutaneous Medicine and Surgery · 2019
Typearticle
Languageen
FieldMedicine
TopicDrug-Induced Adverse Reactions
Canadian institutionsUniversité de MontréalCentre Hospitalier Universitaire Sainte-Justine
Fundersnot available
KeywordsMedicineToxic epidermal necrolysisEtanerceptDexamethasoneDermatologyCarbamazepineCombination therapyPharmacologyInternal medicineTumor necrosis factor alphaEpilepsy

Abstract

fetched live from OpenAlex

We report a case of an 17-year-old male with a drug reaction in the spectrum of Stevens-Johnson syndrome (SJS)/toxic epidermal necrolysis (TEN), triggered by carbamazepine, who was succesfully treated with the combination of dexamethasone, cyclosporine, and etanercept. This triple therapy halted and prevented skin epidermolysis without immediate or late onset complications.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.164
Threshold uncertainty score0.494

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.014
GPT teacher head0.257
Teacher spread0.243 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations25
Published2019
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Cutaneous Medicine and SurgerySame topicDrug-Induced Adverse ReactionsFrench-language works237,207