Evidence map›Paper›PMID 35849446›Full record

ArticleBritish journal of clinical pharmacology2022

Population pharmacokinetic modelling of febuxostat in healthy subjects and people with gout.

Bishoy Kamel, Ahmad Y Abuhelwa, David Foster, Janna K Duong, Garry G Graham, Kenneth M Williams, Kevin D Pile, Richard O Day

Open access · hybridAbstract read
In one paragraph

Article in British journal of clinical pharmacology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.0field-weighted citation impact, top 26% 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.

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

5 citing papers in PubMed, 7 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

8 authors at 5 institutions in 2 countries.

Bishoy KamelThe George Institute for Global Health, Sydney, New South Wales, Australia.ORCID 0000-0002-7993-8776
Ahmad Y AbuhelwaCollege of Pharmacy, University of Sharjah, Sharjah, United Arab Emirates.
David FosterAustralian Centre for Precision Health, Clinical and Health Sciences, University of South Australia, South Australia, Australia.
Janna K DuongFaculty of Pharmacy, The University of Sydney, Sydney, New South Wales, Australia.
Garry G GrahamDepartment of Clinical Pharmacology and Toxicology, St Vincent's Hospital and University of New South Wales Sydney, New South Wales, Australia.ORCID 0000-0002-5602-0153
Kenneth M WilliamsDepartment of Clinical Pharmacology and Toxicology, St Vincent's Hospital and University of New South Wales Sydney, New South Wales, Australia.
Kevin D PileDepartment of Medicine, Western Sydney University, New South Wales, Australia.
Richard O DaySt Vincent's Clinical School, University of New South Wales Sydney, New South Wales, Australia.ORCID 0000-0002-6045-6937
UNSW Sydney · AUCamden and Campbelltown Hospitals · AUFlinders University · AUThe University of Sydney · AUUniversity of South Australia · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsTo investigate and characterise the pharmacokinetics of febuxostat and the effect of the covariates of renal function and body size descriptors on the pharmacokinetics of the drug.

methodsBlood samples (n = 239) were collected using sparse and rich sampling strategies from healthy (n = 9) and gouty (n = 29) subjects. Febuxostat plasma concentrations were measured by a validated high-performance liquid chromatography method. Population pharmacokinetic analysis was performed using NONMEM. A common variability on bioavailability (FVAR) approach was used to test the effect of fed status on absorption parameters. Covariates were modelled using a power model.

resultsThe time course of the plasma concentrations of febuxostat is best described by a two-compartment model. In the final model, the population mean for apparent clearance (CL/F), apparent central volume of distribution (Vc/F), apparent peripheral volume of distribution (Vp/F), absorption rate constant (ka) and apparent intercompartmental clearance (Q/F) were 6.91 l h

conclusionsRenal function and body mass index were significant covariates. Further work is warranted to investigate the clinical relevance of these results, notably as renal impairment and obesity are common occurrences in people with gout.

Indexed as

FebuxostatGoutBiological AvailabilityHealthy VolunteersHumansModels, BiologicalFebuxostatclinical pharmacologyfebuxostatgouthyperuricaemiapopulation pharmacokineticsrheumatology

Identifiers

PMID35849446
PMCPMC9796681
OpenAlexW4285726996

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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 OpenQuestion graph.