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Record W2233880975

New Concept About Perioperative Asymptomatic or Symptomatic Deep Vein Thrombosis Prophylaxis in Coronary Artery Bypass Graft

2013· article· en· W2233880975 on OpenAlexaff
Seyed Mohammad Yousof Mostafavi-Pour-Manshadi

Bibliographic record

VenueSSRN Electronic Journal · 2013
Typearticle
Languageen
FieldMedicine
TopicVenous Thromboembolism Diagnosis and Management
Canadian institutionsMcGill University
Fundersnot available
KeywordsMedicineHeparinAsymptomaticAspirinThrombosisDeep veinPerioperativeHemostasisLow molecular weight heparinSurgeryAnticoagulantAnesthesiaInternal medicineCardiology
DOInot available

Abstract

fetched live from OpenAlex

Asymptomatic deep vein thrombosis (DVT) is a common complication that occurs around of coronary artery bypass graft (CABG). It is common cause of morbidity and mortality in this process [1-4]. DVT is seen in 70-80% of patients underwent coronary artery bypass graft. The incidence of DVT is decreased with pharmacologic prophylaxis [1-4]. However, there is no unique and acceptable consensus exists. The common prophylaxis for this purpose is administering of Low Molecular Weight Heparin (LMWH) and Unfractionated Heparin (UFH) [5-9]. Heparin can affect on coagulation factors and fibrinolytic proteins and restrain them. It can not affect on platelet aggregation in primary hemostasis phase. Aspirin can affect on platelet aggregation and inhibit it [5-9]. Preventing from asymptomatic DVT with heparin alone was reported 60 % to 70% and with aspirin alone was reported 40% to 50% [10,11]. Administration of heparin and aspirin together can be useful to reduce asymptomatic DVT after CABG [12]. Without using prophylactic anticoagulation, the incidence of Venous Thrombo Embolism (VTE) is high after open heart surgery but with using it the incidence of VTE is lower significantly [12-14], however administration of anticoagulants may increase bleeding but it is not significantly. Low Molecular Weight Heparin is the best choice for DVT prophylaxis after CABG especially in patients with advanced risk factors [15]. Prevention of VTE with antiplatelet agent or anticoagulation drugs was reported in previous studies [16,17]. In Addition, administering of antiplatelet and anticoagulation drug together to decrease the rate of DVT is more effective rather than antiplatelet drug or anticoagulation drug alone [15-17]. For instance, administration of heparin and aspirin together is more effective than heparin or aspirin alone to prevent from DVT [12]. Administration of anticoagulation drug and antiplatelet drug, for example aspirin and heparin, does not increase the surgical bleeding significantly [12]. However, some previous studies found that surgical bleeding increased with using of anticoagulation drug and antiplatelet agent together or with the use of them alone [18]. It sounds that administration of anticoagulation drug and antiplatelet agent together is more useful and efficient than administration of one of them alone. Also it does not increase surgical bleeding significantly. Further studies are necessary to prove administration of anticoagulation drug and antiplatelet agent together for prophylaxis of DVT in CABG. The present editorial focuses on importance and necessity of administration of anticoagulation drug and antiplatelet drug together as prophylaxis to prevent from DVT in CABG. It is important to prevent DVT (symptomatic and asymptomatic) in CABG because of its serious complications.

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)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.009
Threshold uncertainty score0.031

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0020.003
Open science0.0010.001
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0090.002

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 head0.009
GPT teacher head0.254
Teacher spread0.245 · 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 designTheoretical or conceptual
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
Published2013
Admission routes1
Has abstractyes

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