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Record W2119066120 · doi:10.2174/157016111793744706

Novel Anticoagulants: New Evidence for Emerging Drugs and Their Potential Application in Major Lower Limb Surgery

2010· article· en· W2119066120 on OpenAlexaffabout
Vassilios S. Nikolaou, Paul Harwood, Efthimios J. Karadimas, Hiang Boon Tan, Peter V. Giannoudis

Bibliographic record

VenueCurrent Vascular Pharmacology · 2010
Typearticle
Languageen
FieldMedicine
TopicVenous Thromboembolism Diagnosis and Management
Canadian institutionsMcGill University
Fundersnot available
KeywordsMedicineDabigatranRivaroxabanFondaparinuxApixabanArgatrobanXimelagatranDiscovery and development of direct thrombin inhibitorsLow molecular weight heparinPharmacologyDirect thrombin inhibitorThrombosisHeparinWarfarinThrombinSurgeryInternal medicineAtrial fibrillationVenous thromboembolismPlatelet

Abstract

fetched live from OpenAlex

For decades, parenteral drugs, such as the low molecular weight heparins and unfractionated heparins or vitamin K antagonists, have been used as anticoagulants for prevention of venous thromboembolism following major lower limb surgery. However, these regiments have limitations that rendered the quest for new anticoagulants mandatory. Recently, research has been focused on the development of orally active small molecules that directly target thrombin or activated factor X (FXa). These regiments exhibit a number of characteristics that an “ideal” anticoagulant should possess. Currently, two agents, dabigatran etexilate and rivaroxaban, which inhibit thrombin and FXa, respectively have been approved in the European Union and Canada for venous thromboprophylaxis in patients undergoing elective hip- or kneereplacement surgery. Other agents are at an early or late stage of clinical evaluation. In this study, we summarize the current evidence for these new developed or under development drugs regarding their applications in the filed of lower limb orthopaedic surgery. Keywords: Novel, anticoagulants, oral, deep vein thrombosis, lower, limb, parenteral drugs, molecular weight heparins, unfractionated heparins, vita-min K antagonists, tivated factor X (FXa), dabigatran etexilate, rivaroxaban, venus thromboembolism (VTE), TKR, HFS, prophylaxis, THR, pulmo-nary embolism (PE), meta-analyses, low-dose unfractionated heparin (LDUH), unfractionated heparin (UFH), throm boxane A2, heparin induced thrombocytopenia, such as warfarin, aspirin, pharmacokinetics, antidote will, antithrombin, factors II, VII, IX, X, proteins C, S, ser-ine proteases, cascade, thrombin, Fondaparinux, Arixtra, GlaxoSmithKline, syn-thetic pentasacharride, ACCP, Indraparinux (Sanofi-Aventis), atrial fibrillation, biotin, avidin, Xarelto, Bayer, Schering Pharma, Wuppertal, Germany, Apixaban, Bristol-Meyers Squibb, Pfizer, APROPOS, LY517717, YM150, Betrixaban, Edoxaban (DU, –, 176b), Ximelagatran, Dabigatran Etaxilate

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)0.010
metaresearch head score (Gemma)0.017
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 score0.010
Threshold uncertainty score0.053

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.017
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0030.009
Bibliometrics0.0030.003
Science and technology studies0.0000.001
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0050.000

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 head0.042
GPT teacher head0.353
Teacher spread0.311 · 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

Citations2
Published2010
Admission routes2
Has abstractyes

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