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Record W4410121781 · doi:10.1148/radiol.240100

Management and Prevention of Hypersensitivity Reactions to Radiocontrast Media: A Consensus Statement from the American College of Radiology and the American Academy of Allergy, Asthma & Immunology

2025· review· en· W4410121781 on OpenAlexaff
Carolyn L. Wang, Allison Ramsey, David M. Lang, Ana Maria Copaescu, Pranay Krishnan, Merin Kuruvilla, Benjamin M. Mervak, Jeffrey H. Newhouse, Alisa Sumkin, Rebecca R. Saff

Bibliographic record

VenueRadiology · 2025
Typereview
Languageen
FieldMedicine
TopicDrug-Induced Adverse Reactions
Canadian institutionsMcGill University Health Centre
Fundersnot available
KeywordsMedicinePremedicationHypersensitivity reactionIodinated contrast mediaAllergyAsthmaIodinated contrastAllergic reactionDelayed hypersensitivityIntensive care medicineDermatologyPediatricsSurgeryImmunologyInternal medicineComputed tomography

Abstract

fetched live from OpenAlex

Key outcomes from a multidisciplinary task force on hypersensitivity reactions to iodinated contrast media include recommendations to document reactions thoroughly in the electronic health record, including symptoms and the specific inciting agent, and a discussion of varying strategies for avoidance of repeat acute hypersensitivity reactions to iodinated contrast media according to the severity of the index reaction; importantly, no corticosteroid premedication is generally recommended for patients with a prior mild acute hypersensitivity reaction.

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 categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.970
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0040.000
Bibliometrics0.0000.001
Science and technology studies0.0000.004
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.032
GPT teacher head0.343
Teacher spread0.311 · 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 designOther design
Domainnot available
GenreReview

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

Citations8
Published2025
Admission routes1
Has abstractyes

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