SynthesisClinical pharmacology and therapeutics2022
Population Pharmacokinetic Models for Direct Oral Anticoagulants: A Systematic Review and Clinical Appraisal Using Exposure Simulation.
Synthesis in Clinical pharmacology and therapeutics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
10 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.
- Update on antithrombotic therapy and body mass: a clinical consensus statement of the European Society of Cardiology Working Group on Cardiovascular Pharmacotherapy and the European Society of Cardiology Working Group on Thrombosis.European heart journal. Cardiovascular pharmacotherapy · 2024Pooled it
- Obesity and Pharmacokinetic Variability: Implications for Cardiovascular Therapeutics.European cardiology · 2026Review
- Relevance and limitations of clinical follow-up in a pharmacokinetic study on direct oral anticoagulants.Frontiers in pharmacology · 2026Article
- Effect of Amiodarone on Apixaban Exposure in Patients after Cardiac Surgery-A Population Pharmacokinetic Study.Clinical pharmacokinetics · 2025Article
- Real-world data on direct oral anticoagulants in BCR::ABL1-negative myeloproliferative neoplasms (MPNs): a multicenter retrospective study on behalf of scientific subcommittee on MPNs for Turkish society of hematology.Journal of thrombosis and thrombolysis · 2025Article
- Model-informed drug discovery and development approaches to inform clinical trial design and regulatory decisions: A primer for the MENA region.Saudi pharmaceutical journal : SPJ : the official publication of the Saudi Pharmaceutical Society · 2024Review
- Population pharmacokinetics of apixaban in a real-life hospitalized population from the OptimAT study.CPT: pharmacometrics & systems pharmacology · 2023Article
- Personalizing Direct Oral Anticoagulant Therapy for a Diverse Population: Role of Race, Kidney Function, Drug Interactions, and Pharmacogenetics.Clinical pharmacology and therapeutics · 2023Review
- Is a Lower Dose of Rivaroxaban Required for Asians? A Systematic Review of a Population Pharmacokinetics and Pharmacodynamics Analysis of Rivaroxaban.Pharmaceutics · 2023Review
- Oral Anticoagulants in Women: What's the Difference? A Narrative Review.Clinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/HemostasisReview
Corrections and comments
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Authors and funding
7 authors at 1 institution in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Available data have shown an association between direct oral anticoagulant (DOAC) plasma concentration and clinical, particularly bleeding, events. Factors that may influence DOAC plasma concentration are therefore the focus of particular attention. Population pharmacokinetic (PopPK) analyses can help in identifying such factors while providing predictive models. The main aim of the present study was to identify all the PopPK models to date for the four most frequently used DOACs (dabigatran, apixaban, rivaroxaban, and edoxaban). The secondary aim was to use these models to simulate different DOAC plasma concentration-time profiles in relevant clinical scenarios. The results of our model-based simulations confirm the clinical relevance of the known major factors influencing DOAC exposure and support the current approved dose adaptation, at least for atrial fibrillation. They also highlight how the accumulation of covariates, not currently considered for dose adaptation due to their seemingly minor influence on DOAC exposure, lead to supratherapeutic blood concentrations and could thus enhance the risk of major bleeding. The present results therefore question DOAC dose adaptation in the presence of these covariates, such as drug-drug interaction or genotypes, alongside the known existing covariates. As the overall effect of accumulation of several covariates could be difficult to apprehend for the clinicians, PopPK modeling could represent an interesting approach for informed precision dosing and to improve personalized prescription of DOACs.
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