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Record W3212053975 · doi:10.1097/nan.0000000000000446

Infusion Center Guidelines for Teprotumumab Infusions: Informed Consent, Safety, and Management of Side Effects

2021· article· en· W3212053975 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Infusion Nursing · 2021
Typearticle
Languageen
FieldMedicine
TopicOphthalmology and Eye Disorders
Canadian institutionsRegistered Nurses' Association of Ontario
FundersNational Eye Institute
KeywordsFood and drug administrationDiseaseThyroidMEDLINEThyroid diseaseDrugAutoimmune diseaseDrug administration

Abstract

fetched live from OpenAlex

Teprotumumab was the first and only medication approved by the US Food and Drug Administration for the treatment of thyroid eye disease in January 2020. Thyroid eye disease is a complex autoimmune inflammatory disease that can be sight-threatening, debilitating, and disfiguring to affected patients. Although biologic therapies are a preferred treatment option for many complex immunologic and oncologic conditions, their use in ophthalmology and endocrinology may be more novel. The goals of this article are to introduce this new therapeutic option; discuss its mechanism of action, indications for use, administration protocol, infusion precautions, and informed consent; and review common side effects and management.

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.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.740
Threshold uncertainty score0.500

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.053
GPT teacher head0.393
Teacher spread0.339 · 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