Evidence map›Paper›PMID 23475133›Full record

ArticleEuropean journal of clinical pharmacology2013

The population pharmacokinetics of allopurinol and oxypurinol in patients with gout.

Daniel F B Wright, Lisa K Stamp, Tony R Merriman, Murray L Barclay, Stephen B Duffull, Nicholas H G Holford

Abstract readComparative Study
PubMed Publisher
In one paragraph

Article in European journal of clinical pharmacology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 2 pooled it
1.8field-weighted citation impact, top 16% 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

20 citing papers in PubMed, 2 syntheses or guidelines pooled it, 34 citations in OpenAlex.

  1. Pooled it
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  15. Article
  16. Individualising the dose of allopurinol in patients with gout.British journal of clinical pharmacology · 2017
    Observational
  17. Article
  18. Urate Handling in the Human Body.Current rheumatology reports · 2016
    Review
  19. Predicting allopurinol response in patients with gout.British journal of clinical pharmacology · 2016
    Article
  20. Review
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 at 3 institutions in 1 country.

Daniel F B WrightSchool of Pharmacy, University of Otago, PO Box 56, Dunedin, New Zealand. dan.wright@otago.ac.nz
Lisa K Stamp
Tony R Merriman
Murray L Barclay
Stephen B Duffull
Nicholas H G Holford
University of Otago · NZChristchurch Hospital · NZUniversity of Auckland · NZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe aims of this study were to develop a population pharmacokinetic model for allopurinol and oxypurinol and to explore the influence of patient characteristics on allopurinol and oxypurinol pharmacokinetics.

methodsData from 92 patients with gout and 12 healthy volunteers were available for analysis. A parent-metabolite model with a two-compartment model for allopurinol and a one-compartment model for oxypurinol was fitted to the data using non-linear mixed effects modelling.

resultsRenal function, fat-free mass (FFM) and diuretic use were found to predict differences in the pharmacokinetics of oxypurinol. The population estimates for allopurinol clearance, inter-compartmental clearance, central and peripheral volume were 50, 142 L/h/70 kg FFM, 11.4, 91 L/70 kg FFM, respectively, with a between-subject variability of 33 % (coefficient of variance, CV) for allopurinol clearance. Oxypurinol clearance and volume of distribution were estimated to be 0.78 L/h per 6 L/h creatinine clearance/70 kg FFM and 41 L/70 kg FFM in the final model, with a between-subject variability of 28 and 15 % (CV), respectively.

conclusionsThe pharmacokinetic model provides a means of predicting the allopurinol dose required to achieve target oxypurinol plasma concentrations for patients with different magnitudes of renal function, different body mass and with or without concomitant diuretic use. The model provides a basis for the rational dosing of allopurinol in clinical practice.

Indexed as

Models, BiologicalAllopurinolBody CompositionCohort StudiesDiureticsDose-Response Relationship, DrugDrug InteractionsEnzyme InhibitorsFemaleGoutGout SuppressantsHumansMaleMetabolic Clearance RateOxypurinolXanthine OxidaseAllopurinolDiureticsEnzyme InhibitorsGout SuppressantsOxypurinolXanthine Oxidase

Identifiers

PMID23475133
OpenAlexW2011515872

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.