Evidence mapPaperPMID 41208245Full record

ArticleClinical and translational science2025

Real-World Impact of Amiodarone on Apixaban Population Pharmacokinetics in Hospitalized Patients.

Samantha Kolowrat, Chazmyn Riley, Kevin Lam, Lynda Thomson, Douglas F Stickle, Walter K Kraft

Abstract read
In one paragraph

Article in Clinical and translational science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
field-weighted citation impact
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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
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

6 authors.

Samantha KolowratDepartment of Pharmacology, Physiology, and Cancer Biology, Thomas Jefferson University, Philadelphia, Pennsylvania, USA.ORCID 0009-0007-3832-8772
Chazmyn RileyDepartment of Pharmacology, Physiology, and Cancer Biology, Thomas Jefferson University, Philadelphia, Pennsylvania, USA.ORCID 0009-0008-6435-7611
Kevin LamDepartment of Pharmacology, Physiology, and Cancer Biology, Thomas Jefferson University, Philadelphia, Pennsylvania, USA.ORCID 0000-0001-9838-613X
Lynda ThomsonDepartment of Pharmacy, Thomas Jefferson University Hospital, Philadelphia, Pennsylvania, USA.
Douglas F StickleDepartment of Pathology, Thomas Jefferson University, Philadelphia, Pennsylvania, USA.ORCID 0000-0002-2033-4943
Walter K KraftDepartment of Pharmacology, Physiology, and Cancer Biology, Thomas Jefferson University, Philadelphia, Pennsylvania, USA.ORCID 0000-0002-5074-0141

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite common coadministration in nonvalvular atrial fibrillation (NVAF), there is minimal evidence regarding the impact of concomitant amiodarone use on apixaban pharmacokinetics (PK). We described the population PK of apixaban (2.5 and 5 mg twice daily) in 106 hospitalized patients with and without concomitant amiodarone administration at steady state. Apixaban PK was reasonably described by a one-compartment model with first-order absorption and linear elimination. Aside from the receipt of amiodarone, age was retained as a statistically significant covariate on apparent clearance. Model-based simulations depicted concomitant amiodarone use increasing AUC

Indexed as

AmiodaroneAtrial FibrillationFactor Xa InhibitorsPyrazolesPyridonesAgedAged, 80 and overArea Under CurveDose-Response Relationship, DrugDrug InteractionsFemaleHospitalizationHumansMaleMiddle AgedModels, BiologicalAmiodaroneapixabanFactor Xa InhibitorsPyrazolesPyridonesamiodaroneapixabandrug–drug interactionnon‐valvular atrial fibrillationpharmacokinetics

Identifiers

PMID41208245
PMCPMC12597975

What Socratic holds

Textmetadata
LicenceCC BY-NC
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Registered trials

None linked

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 Socratic graph.