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Record W2327462955

Emerging anticoagulants: mechanism of action and future potential.

2006· article· en· W2327462955 on OpenAlexaff
Petr Klement, Janusz Rak

Bibliographic record

VenuePubMed · 2006
Typearticle
Languageen
FieldMedicine
TopicVenous Thromboembolism Diagnosis and Management
Canadian institutionsMcMaster University
Fundersnot available
KeywordsFondaparinuxMedicineThrombinRivaroxabanTissue factor pathway inhibitorCoagulationHeparinDiscovery and development of direct thrombin inhibitorsPharmacologyAnticoagulantAntithrombinTissue factorWarfarinThrombosisImmunologySurgeryInternal medicineVenous thromboembolismPlateletAtrial fibrillation
DOInot available

Abstract

fetched live from OpenAlex

Medical needs associated with diverse thromboembolic conditions are not fully met by currently available anticoagulants. Of those, unfractionated heparin (UFH) is gradually replaced by low molecular weight heparin (LMWH) for prevention and treatment of venous thromboembolism and acute coronary syndromes, along with supportive treatment with oral anticoagulants, such as warfarin derivatives. While generally effective these agents have several shortcomings involving compliance, delivery, efficacy and safety considerations in various disease settings, and for these reasons new anticoagulants are sought, to target more specifically the critical effectors and steps in the blood coagulation process, namely: (i) initiation, (ii) propagation and (iii) the phase of thrombin activity. The emerging agents that block tissue factor/factor VIIa-dependent initiation phase of the coagulation cascade, include: recombinant tissue factor pathway inhibitor (rTFPI), nematode anticoagulant peptide (NAPc2), active site-blocked factor VIIa (FVIIai) and TF targeting antibodies. Some of them are currently evaluated in clinical trials with promising results. Propagation phase of thrombus formation (e.g. the activity of factors IXa, Xa, VIIIa or Va) is targeted mainly by various indirect, direct and bimodal inhibitors, such as fondaparinux, indraparinux, tick anticoagulant peptide (TAP), antistatin (ANT) and antithrombin-heparin covalent complex (ATH), all endowed mostly with an anti-Xa activity. Although promising, some of these agents (TAP, ANT and ATH) have not progressed beyond animal testing while others (fondaparinux) was already assessed for prevention and treatment of venous thromboembolism and for treatment of arterial thrombosis. Lastly, inhibitors of thrombin activity are composed of either indirect (UFH, LMWH), or direct thrombin (FIIa) inhibitors including: hirudin, argatroban, melagatran, ximelagatran, dabigatran, and bivalirudin. These agents are either in advanced development or already approved for clinical use. Bimodal FIIa inhibitory activity of ATH was demonstrated in animal models of venous and arterial thrombosis, but is in need of further development. In conclusion, while some of these emerging anticoagulants, such as fondaparinux, idraparinux, ximelagatran and ATH appear to possess superior efficacy-safety profile, as compared to their conventional predecessors (UFH, LMWH and warfarin), their cost-effectiveness, side effects and antidote availability have to be considered. More importantly, coagulation factors that are targets of these inhibitory activities also affect coagulation independent processes, such as wound healing, inflammation, angiogenesis, mitogenesis and cell survival. Thus the consequences of both coagulation-dependent and -independent effects of new agents should be carefully considered before proper clinical indications are established.

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 score0.008
Threshold uncertainty score0.026

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0020.003
Open science0.0010.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0080.005

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 head0.013
GPT teacher head0.232
Teacher spread0.219 · 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
Published2006
Admission routes1
Has abstractyes

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