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Record W4213105637 · doi:10.3410/f.733432916.793576496

Faculty Opinions recommendation of Clinical features of Stevens-Johnson syndrome and toxic epidermal necrolysis.

2020· dataset· en· W4213105637 on OpenAlexaff
Michele Ramien

Bibliographic record

VenueFaculty Opinions – Post-Publication Peer Review of the Biomedical Literature · 2020
Typedataset
Languageen
FieldMedicine
TopicDrug-Induced Adverse Reactions
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsToxic epidermal necrolysisMedicinePlasmapheresisConcomitantDermatologyBronchiolitis obliteransPediatricsSurgeryTransplantationAntibodyImmunology

Abstract

fetched live from OpenAlex

BACKGROUND: Stevens-Johnson syndrome (SJS) and toxic epidermal necrolysis (TEN) are rare, but these conditions are associated with high mortality. There have been few reports of SJS and TEN in children. The aim of this study was to evaluate the clinical features and outcomes of SJS and TEN in a group of Japanese children.METHODS: We retrospectively reviewed pediatric cases of SJS and TEN, from 2000 to 2015.RESULTS: We identified 12 pediatric cases of SJS and three of TEN. Six (all SJS) were caused by infection, and eight of the cases (SJS, n = 5; TEN, n = 3) were drug induced. Respiratory complications were the most common in terms of organ involvement, followed by hepatitis and gastrointestinal symptoms. Thirteen patients were treated with systemic corticosteroids, and two patients were treated with supportive therapy only. Concomitant with corticosteroid, four patients were given i.v. immunoglobulin. One patient with severe TEN was treated with systemic corticosteroids combined with plasmapheresis and cyclosporine. None of the present patients died. One patient with TEN had severe sequelae, with bronchiolitis obliterans and ocular involvement.CONCLUSIONS: SJS/TEN are rare, but are associated with severe complications. General pediatricians need to have up-to-date information regarding these conditions. The present study provides insights into the confirmation of the risk of SJS/TEN as well as the treatment of these diseases.© 2018 Japan Pediatric Society. PMID: 29888432

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)0.002
metaresearch head score (Gemma)0.019
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.204
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.019
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0010.002
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.002
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 head0.061
GPT teacher head0.405
Teacher spread0.344 · 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.

Study designNot applicable
Domainnot available
GenreDataset

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

Citations0
Published2020
Admission routes1
Has abstractyes

Explore more

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