MétaCan
Menu
Back to cohort
Record W4404564780 · doi:10.51731/cjht.2024.1028

Avapritinib (Ayvakyt)

2024· article· en· W4404564780 on OpenAlexaboutno aff
CDA-AMC

Bibliographic record

VenueCanadian Journal of Health Technologies · 2024
Typearticle
Languageen
FieldImmunology and Microbiology
TopicMast cells and histamine
Canadian institutionsnot available
Fundersnot available
KeywordsSystemic mastocytosisMedicineCutaneous MastocytosisInternal medicineOncologyBone marrow

Abstract

fetched live from OpenAlex

Canada’s Drug Agency (CDA-AMC) recommends that Ayvakyt be reimbursed by public drug plans for adult patients with indolent systemic mastocytosis (ISM) with moderate to severe symptoms inadequately controlled on symptomatic treatment, if certain conditions are met. The pan-Canadian Oncology Drug Review Expert Review Committee (pERC) determined that it is uncertain whether Ayvakyt demonstrates acceptable clinical value versus symptomatic treatments in adult patients with ISM who have moderate to severe symptoms inadequately controlled on symptomatic treatment. Therefore, the committee also considered whether Ayvakyt addresses a significant unmet clinical need. Evidence from 1 clinical trial showed that Ayvakyt in combination with symptomatic treatment may result in added clinical benefit, compared with placebo in combination with symptomatic treatment, as per the Indolent Systemic Mastocytosis Symptom Assessment Form (ISM-SAF) total symptom score (TSS). However, the evidence for Ayvakyt is uncertain because there were differences between groups in terms of prognostic factors as well as in the occurrence of edema, which might have allowed patients to infer treatment allocation. The effect of Ayvakyt to reduce anaphylaxis was also uncertain due to the small number of events. ISM is a rare disease that can cause life-threatening anaphylaxis. Current treatment options available to patients with ISM in Canada only palliate the symptoms. pERC determined that Ayvakyt may meet some of the unmet clinical need in terms of improving disease symptoms with an acceptable safety profile. Based on all of the preceding considerations, pERC recommended that Ayvakyt be reimbursed. Ayvakyt should only be covered when used in conjunction with symptomatic treatments in adult patients with a confirmed diagnosis of ISM with a KIT D816V mutation, and who have moderate to severe disease based on the clinician’s assessment, with no clinical improvement in at least 1 type of symptom after receiving at least 2 prior symptomatic treatments, as determined by the clinician. Ayvakyt should only be reimbursed if the treatment is initiated by a hematologist, allergist, or immunologist with expertise in the diagnosis, treatment, and response evaluation of patients with ISM, and if the cost of Ayvakyt is reduced. Reimbursement of Ayvakyt may be continued for patients with disease response to treatment, as assessed by the treating clinician every 24 weeks. Reimbursement of Ayvakyt should be discontinued in cases of unacceptable toxicity, failure to meet follow-up requirements, or lack of clinical benefit as determined by the treating clinician.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.015
Threshold uncertainty score0.050

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0150.007

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 head0.017
GPT teacher head0.249
Teacher spread0.233 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueCanadian Journal of Health TechnologiesSame topicMast cells and histamineFrench-language works237,207