MétaCan
Menu
Back to cohort
Record W4366987477 · doi:10.51731/cjht.2023.630

Caplacizumab (Cablivi)

2023· article· en· W4366987477 on OpenAlexaboutno aff
CADTH

Bibliographic record

VenueCanadian Journal of Health Technologies · 2023
Typearticle
Languageen
FieldImmunology and Microbiology
TopicComplement system in diseases
Canadian institutionsnot available
Fundersnot available
KeywordsMedicinePlaceboClinical trialDiseaseQuality of life (healthcare)Intensive care medicineInternal medicineOncologyAlternative medicinePathology

Abstract

fetched live from OpenAlex


 CADTH recommends that Cablivi should not be reimbursed by public drug plans for the treatment of adults with acquired thrombotic thrombocytopenic purpura (aTTP) in combination with plasma exchange (PE) and immunosuppressive therapy.
 Evidence from clinical trials were unable to demonstrate that Cablivi improved survival and quality of life, minimized organ damage, or prevented long-term aTTP recurrence. Although results showed that Cablivi reduced time to platelet normalization compared with placebo in patients with aTTP who received PE and immunosuppressive therapy, CADTH Canadian Drug Expert Committee was unable to determine how this correlated with the previously mentioned clinical outcomes.
 Evidence from an integrated analysis of clinical trials and several sources of real-world evidence were unable to clearly demonstrate whether Cablivi provides benefits when added to PE and immunosuppressive therapy due to limitations associated with the methodology.
 Based on the evidence reviewed, it remains uncertain whether Cablivi meets the needs identified by patients of improving survival and quality of life, preventing disease complications, reducing the need for PE, and preventing disease recurrence.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.350
Threshold uncertainty score0.758

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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 head0.039
GPT teacher head0.286
Teacher spread0.247 · 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

Citations0
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueCanadian Journal of Health TechnologiesSame topicComplement system in diseasesFrench-language works237,207