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Record W4391716904 · doi:10.51731/cjht.2024.826

Elexacaftor-Tezacaftor-Ivacaftor and Ivacaftor (Trikafta)

2024· article· en· W4391716904 on OpenAlexaboutno aff
CADTH

Bibliographic record

VenueCanadian Journal of Health Technologies · 2024
Typearticle
Languageen
FieldMedicine
TopicCystic Fibrosis Research Advances
Canadian institutionsnot available
Fundersnot available
KeywordsIvacaftorMedicineCystic fibrosisReimbursementCombination therapyCystic fibrosis transmembrane conductance regulatorPharmacologyInternal medicineHealth care

Abstract

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CADTH reimbursement reviews are comprehensive assessments of the clinical effectiveness and cost-effectiveness, as well as patient and clinician perspectives, of a drug or drug class. The assessments inform non-binding recommendations that help guide the reimbursement decisions of Canada's federal, provincial, and territorial governments, with the exception of Quebec. This review assesses elexacaftor-tezacaftor-ivacaftor and ivacaftor (Trikafta): Elexacaftor 100 mg–tezacaftor 50 mg–ivacaftor 75 mg (granules) and ivacaftor 75 mg (granules), oral Elexacaftor 80 mg–tezacaftor 40 mg–ivacaftor 60 mg (granules) and ivacaftor 59.5 mg (granules), oral Patients aged 6 years and older: Elexacaftor 50 mg–tezacaftor 25 mg–ivacaftor 37.5 mg (combination tablet) and ivacaftor 75 mg (tablet), oral Elexacaftor 100 mg–tezacaftor 50 mg–ivacaftor 75 mg (combination tablet) and ivacaftor 150 mg (tablet), oral. Indication: For the treatment of cystic fibrosis (CF) in patients aged 2 years and older who have at least 1 F508del mutation in the cystic fibrosis transmembrane conductance regulator (CFTR) gene.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.947
Threshold uncertainty score0.943

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
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 head0.024
GPT teacher head0.333
Teacher spread0.309 · 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 designNot applicable
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

Citations1
Published2024
Admission routes1
Has abstractyes

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Same venueCanadian Journal of Health TechnologiesSame topicCystic Fibrosis Research AdvancesFrench-language works237,207