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Record W4400497541 · doi:10.20452/pamw.16799

Factor XI inhibition in cardiovascular disease

2024· review· en· W4400497541 on OpenAlexaff
Stephanie Carlin, Michael Jakovac, Andrzej Budaj, John W. Eikelboom

Bibliographic record

VenuePolskie Archiwum Medycyny Wewnętrznej · 2024
Typereview
Languageen
FieldMedicine
TopicCoagulation, Bradykinin, Polyphosphates, and Angioedema
Canadian institutionsHamilton Health SciencesPopulation Health Research InstituteMcMaster University
Fundersnot available
KeywordsMedicineFondaparinuxIntensive care medicineDiseaseHeparinVitamin kDiscovery and development of direct thrombin inhibitorsVenous thromboembolismSurgeryInternal medicineThrombosis

Abstract

fetched live from OpenAlex

Cardiovascular disease remains the leading global cause of mortality, requiring effective antithrombotic strategies to prevent thromboembolic events. Currently available therapies are effective but have inherent bleeding risks which may limit or preclude their use, particularly in patients at the highest risk of bleeding. Factor XI (FXI) inhibitors are a promising new class of anticoagulants which may mitigate the risk of bleeding while maintaining efficacy. Further, they have the potential to provide effective anticoagulation in indications where direct oral anticoagulants (DOACs) are proven less effective than vitamin K antagonists (VKAs) or when DOACs are contraindicated. The development of FXI inhibitors was based on mechanistic considerations suggesting FXI's role in thrombus formation without significantly affecting hemostasis, supported by epidemiological data and animal experiments. FXI inhibitors, including antisense oligonucleotides, monoclonal antibodies, and small‑molecule inhibitors, target different stages of FXI production or activation, offering a diversity of therapeutic options with differing onset and offset of action, drug interaction potential, and renal elimination. FXI inhibitors have shown potential benefits in phase II trials, demonstrating similar or reduced bleeding rates to existing agents, including DOACs. The early termination of AZALEA‑TIMI 71 (Safety and Tolerability of Abelacimab [MAA868] vs Rivaroxaban in Patients With Atrial Fibrillation) and OCEANIC‑AF (A Study to Learn How Well the Study Treatment Asundexian Works and How Safe it is Compared to Apixaban to Prevent Stroke or Systemic Embolism in People With Irregular and Often Rapid Heartbeat [Atrial Fibrillation], and at Risk for Stroke) trials underscores challenges in the selection of appropriate patient populations and anticoagulant class, agent, and dose. Ongoing phase III trials including OCEANIC‑STROKE (A Study to Test Asundexian for Preventing a Stroke Caused by a Clot in Participants After an Acute Ischemic Stroke or After a High‑risk Transient Ischemic Attack, a So‑called Mini Stroke) and LIBREXIA trials aim to further explore the efficacy of FXI inhibitors in stroke, acute coronary syndrome, and atrial fibrillation. In conclusion, FXI inhibitors hold promise as next‑generation anticoagulants, potentially addressing limitations of current therapies. Ongoing research is required to establish their place in clinical practice and address unresolved questions.

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)0.001
metaresearch head score (Gemma)0.001
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: Review · Consensus signal: Review
Teacher disagreement score0.005
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0050.002

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 head0.067
GPT teacher head0.341
Teacher spread0.275 · 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
GenreReview

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

Citations6
Published2024
Admission routes1
Has abstractyes

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