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Record W2764278745 · doi:10.5693/djo.03.2015.05.002

A 26-year-old man with ocular complications after adverse reaction to phenytoin

2016· article· en· W2764278745 on OpenAlexaffabout
Ritesh Gupta, Vasudha Gupta, Yasser A. Khan

Bibliographic record

VenueDigital Journal of Ophthalmology · 2016
Typearticle
Languageen
FieldMedicine
TopicDrug-Induced Adverse Reactions
Canadian institutionsMcMaster UniversityUniversity of Toronto
Fundersnot available
KeywordsToxic epidermal necrolysisMedicinePhenytoinRashAdverse effectAdverse drug reactionEpilepsyAnesthesiaEdemaMortality rateDermatologySurgeryGastroenterologyInternal medicineDrug

Abstract

fetched live from OpenAlex

A 26-year-old black man was admitted to the Burn Unit of Hamilton General Hospital, Ontario, following an adverse drug reaction to phenytoin. He was diagnosed with toxic epidermal necrolysis (TEN) and Ophthalmology was consulted to assess for ocular complications (Figure 1). The Score of Toxic Epidermal Necrosis (SCORTEN) for this patient was 2 (SCORTEN is a validated severity-of-illness score that is predictive of mortality; scores range from 0 to 7, with 2 corresponding to a 12.1% mortality rate), because he was <40 years of age, had no associated malignancy, had a heart rate of >120 beats/minute, no electrolyte abnormalities (blood urea nitrogen, serum glucose, or serum bicarbonate), and a detached body surface of >10%.(1) He had no comorbidities. His medical history was remarkable for epilepsy. The patient had 85% of his body covered in a thin vesicular slightly blistering rash. His systemic involvement included oral and orbital edema and ulceration of his lips, oral mucosa, scrotum, glans, and upper right chest.

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)0.000
metaresearch head score (Gemma)0.000
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 score0.287
Threshold uncertainty score0.593

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.019
GPT teacher head0.284
Teacher spread0.264 · 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

Citations2
Published2016
Admission routes2
Has abstractyes

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