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Tranexamic Acid is a Weak Provoking Factor For Thromboembolic Events: A Systematic Review Of The Literature

2013· review· en· W197938950 on OpenAlexaff
Janique Dyba, Francis CF Chan, Keith K. Lau, Anthony K.C. Chan, Howard H.W. Chan

Bibliographic record

VenueBlood · 2013
Typereview
Languageen
FieldMedicine
TopicVenous Thromboembolism Diagnosis and Management
Canadian institutionsMcMaster UniversityThrombosis and Atherosclerosis Research InstituteQueen's University
Fundersnot available
KeywordsTranexamic acidMedicineRandomized controlled trialFibrinolysisDosingAntifibrinolyticSurgeryAnesthesiaInternal medicineBlood loss

Abstract

fetched live from OpenAlex

Abstract Introduction Tranexamic acid (TXA) is a reversible lysine analogue that competes with the lysine residues on fibrin for the binding of plasminogen thus inhibiting the fibrinolysis and stabilizing clot. Multiple meta-analysis and randomized controlled trials have demonstrated its role in reducing blood loss for menorrhagia, perioperative bleeding, trauma-associated hemorrhage, and post-dental procedure bleeding. However, some of these situations are known to provoke venous thromboembolism (VTE) and the risk of inducing TXA-associated thromboembolic complication is always a concern for the managing physician. Hereby, we conducted a systematic review of the literature to determine whether the reported thromboembolic incidences were associated with the dosing of TXA. Methods We searched the OVID Medline database for all articles including the terms “tranexamic acid” or “antifibrinolytics” and then refined the search results with the key word “hemorrhage”. The search was limited to humans and English language. We included primary research articles using oral or intravenous tranexamic acid in the treatment or prophylaxis of hemorrhage, including clinical trials, cohort studies, case series, and case reports. Review articles, meta-analyses and in vitro studies were excluded from this study. We categorized the studies into two groups. The first group included all case reports and the narrative citations in which the TXA doses were variable among the patients within the same study. Student t-test was used to compare the TXA dosage for patients with and without VTE. A p-value of 0.05 was considered significant. The second group included randomized trials and the non-randomized studies with fixed TXA dosing for all participating subjects allowing comparison between treatment and control arms. The odds ratio of having VTE for each individual study was analyzed against the dosing information of TXA. Weighted regression analysis was used to determine whether the odds ratio of having VTE was linearly correlated with the TXA dose. Results Two authors independently screened the citations and assessed the full text for potentially relevant publications. The initial search strategy resulted in 1959 articles, of which 149 articles published between 1971 and 2013 had complete data on TXA dose, duration of TXA therapy and VTE events. These included 17 case reports, 45 case cohorts, 8 non-randomized clinical trials and 76 randomized control trials. In the first groups of citations, the total dose of TXA reported for patients complicated by VTE was borderline higher than those without VTE but reached the predefined statistically significance (p= 0.042). In the second groups of studies, vast majority did not show significant increase in VTE events in the TXA treatment arm because the odds ratio was equal to 1. Only a few studies had an odds ratio not equal to 1 but the ratios were not linearly correlated either with the daily dose or total dose of TXA. Conclusion Despite the heterogenous indications for antifibrinolytic therapy, TXA treatment did not consistently increase the event rate of VTE. Our study suggested that both the daily or total dose of TXA were not strong predicting factors for the VTE. Instead, we speculate that patients’ pre-existing thrombophilia conditions and the concurrent procoagulant factors are the confounding variables associated with VTE in patients on TXA. Thus, these factors should be considered and balanced against the potential benefits of TXA in reducing the degree of hemorrhage. Disclosures: No relevant conflicts of interest to declare.

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)0.005
metaresearch head score (Gemma)0.018
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.012
Threshold uncertainty score0.026

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.018
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0060.006
Bibliometrics0.0120.012
Science and technology studies0.0010.001
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0010.001
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 head0.033
GPT teacher head0.316
Teacher spread0.283 · 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 designSystematic review
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

Citations11
Published2013
Admission routes1
Has abstractyes

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