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Record W4390113947 · doi:10.51731/cjht.2023.806

Andexanet Alfa (Ondexxya)

2023· article· en· W4390113947 on OpenAlexaboutno aff
CADTH

Bibliographic record

VenueCanadian Journal of Health Technologies · 2023
Typearticle
Languageen
FieldMedicine
TopicAtrial Fibrillation Management and Outcomes
Canadian institutionsnot available
Fundersnot available
KeywordsRivaroxabanApixabanMedicineObservational studyIntensive care medicineProthrombin complex concentrateInternal medicineWarfarin

Abstract

fetched live from OpenAlex

CADTH recommends that Ondexxya should not be reimbursed by public drug plans for adult patients treated with factor Xa (FXa) inhibitors (rivaroxaban or apixaban) when rapid reversal of anticoagulation is needed due to life-threatening or uncontrolled bleeding.
 
 Evidence from a clinical trial (ANNEXA-4) demonstrated that Ondexxya treatment could reduce the activity of FXa inhibitors in the blood and improve imaging and laboratory markers of bleeding; however, without a control group, there is uncertainty in how much the observed benefits were due to Ondexxya treatment rather than chance. Clinical outcomes such as neurologic status and mortality were also uncertain.
 No evidence was submitted at the time of the review that directly compared Ondexxya to usual care for managing bleeding related to an FXa inhibitor. Observational evidence comparing Ondexxya and prothrombin complex concentrate, which is part of the usual care, was uncertain due to limitations of study design and analysis.
 Based on the evidence reviewed, the CADTH Canadian Plasma Protein Product Expert Committee (CPEC) was not convinced that treatment with Ondexxya would achieve outcomes that are clinically important to patients or meet needs not already addressed by other available treatments.

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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.747
Threshold uncertainty score0.250

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 science0.0000.000
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 head0.129
GPT teacher head0.371
Teacher spread0.242 · 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
Published2023
Admission routes1
Has abstractyes

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