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Record W4404435811 · doi:10.51731/cjht.2024.1026

Lebrikizumab (Ebglyss)

2024· article· en· W4404435811 on OpenAlexaboutno aff
CDA-AMC

Bibliographic record

VenueCanadian Journal of Health Technologies · 2024
Typearticle
Languageen
FieldMedicine
TopicChronic Myeloid Leukemia Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsPsychology

Abstract

fetched live from OpenAlex

Canada’s Drug Agency (CDA-AMC) recommends that Ebglyss should not be reimbursed by public drug plans for the treatment of moderate to severe atopic dermatitis (AD) in adults and adolescents aged 12 years and older with a body weight of at least 40 kg, whose disease is not adequately controlled with topical prescription therapies or when those therapies are not advisable. Evidence from 3 clinical trials demonstrated that, in the short-term, Ebglyss treatment improved the severity of AD and reduced itch symptoms compared with placebo in adults and adolescents with moderate to severe AD. However, based on the evidence reviewed in the initial meeting and the reconsideration meeting, the Canadian Drug Expert Committee (CDEC) could not determine whether lebrikizumab would address the unmet needs of patients because of the uncertainty around the benefit of lebrikizumab versus appropriate comparators and in patients who received prior dupilumab or Janus kinase (JAK) inhibitor treatment. No evidence was submitted that directly compared Ebglyss to currently available treatments for AD. The indirect evidence submitted had limitations that impacted the certainty of the evidence, and it was unclear if the estimates were valid. The safety of Ebglyss relative to other treatments for AD is unknown because no comparative evidence was submitted. In addition, longer-term safety and efficacy was uncertain because of limitations of the study designs and analysis with the available evidence.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.962
Threshold uncertainty score0.992

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
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 head0.027
GPT teacher head0.305
Teacher spread0.278 · 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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