Evidence map›Paper›PMID 37794718›Full record

ArticleCPT: pharmacometrics & systems pharmacology2023

Apixaban and rivaroxaban's physiologically-based pharmacokinetic model validation in hospitalized patients: A first step for larger use of a priori modeling approach at bed side.

Jean Terrier, Frédéric Gaspar, Pauline Gosselin, Olivier Raboud, Camille Lenoir, Victoria Rollason, Chantal Csajka, Caroline Samer, Pierre Fontana, Youssef Daali and 2 more

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in CPT: pharmacometrics & systems pharmacology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03477331 (Antithrombotics' Therapeutic Optimization in Hospitalized Patients Using Physiologically- and Population-based Pharmacokinetic Modeling), which is not on this map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.0field-weighted citation impact, top 12% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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.

NCT03477331 completednot on this map

Antithrombotics' Therapeutic Optimization in Hospitalized Patients Using Physiologically- and Population-based Pharmacokinetic Modeling

TypeobservationalSponsorUniversity Hospital, GenevaRan2018 to 2024Enrolled444ConditionsCardiovascular Diseases
3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 9 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors at 2 institutions in 3 countries.

Jean TerrierDivision of General Internal Medicine, Geneva University Hospitals, Geneva, Switzerland.ORCID 0000-0002-5878-4878
Frédéric GasparCenter for Research and Innovation in Clinical Pharmaceutical Sciences, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.ORCID 0000-0002-0225-7294
Pauline GosselinDivision of General Internal Medicine, Geneva University Hospitals, Geneva, Switzerland.
Olivier RaboudCenter for Research and Innovation in Clinical Pharmaceutical Sciences, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.
Camille LenoirClinical Pharmacology and Toxicology Service, Anesthesiology, Pharmacology and Intensive Care Department, Geneva University Hospitals, Geneva, Switzerland.ORCID 0000-0001-6506-8629
Victoria RollasonClinical Pharmacology and Toxicology Service, Anesthesiology, Pharmacology and Intensive Care Department, Geneva University Hospitals, Geneva, Switzerland.
Chantal CsajkaSchool of Pharmaceutical Sciences, University of Geneva, Geneva, Switzerland.
Caroline SamerClinical Pharmacology and Toxicology Service, Anesthesiology, Pharmacology and Intensive Care Department, Geneva University Hospitals, Geneva, Switzerland.
Pierre FontanaGeneva Platelet Group, Faculty of Medicine, University of Geneva, Geneva, Switzerland.ORCID 0000-0003-1546-0774
Youssef DaaliGeneva Platelet Group, Faculty of Medicine, University of Geneva, Geneva, Switzerland.
Jean-Luc RenyDivision of General Internal Medicine, Geneva University Hospitals, Geneva, Switzerland.
OptimAT study group
University of Geneva · CHUniversity Hospital of Geneva · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

When used in real-world conditions, substantial interindividual variations in direct oral anticoagulant (DOAC) plasma concentrations are observed for a given dose, leading to a risk of over- or under-exposure and clinically significant adverse events. Physiologically-based pharmacokinetic (PBPK) models could help physicians to tailor DOAC prescriptions in vulnerable patient populations, such as those in the hospital setting. The present study aims to validate prospectively PBPK models for rivaroxaban and apixaban in a large cohort of elderly, polymorbid, and hospitalized patients. In using a model of geriatric population integrating appropriate physiological parameters into models first optimized with healthy volunteer data, observed plasma concentration collected in hospitalized patients on apixaban (n = 100) and rivaroxaban (n = 100) were adequately predicted (ratio predicted/observed area under the concentration curve for a dosing interval [AUC

Indexed as

PyrazolesRivaroxabanAdministration, OralAgedAnticoagulantsHumansPyridonesAnticoagulantsapixabanPyrazolesPyridonesRivaroxaban

Identifiers

PMID37794718
PMCPMC10725260
OpenAlexW4387357948

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.