Evidence map›Paper›PMID 26451524›Full record

ArticleBritish journal of clinical pharmacology2016

Predicting allopurinol response in patients with gout.

Daniel F B Wright, Stephen B Duffull, Tony R Merriman, Nicola Dalbeth, Murray L Barclay, Lisa K Stamp

Abstract read
In one paragraph

Article in British journal of clinical pharmacology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 1 pooled it
–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

26 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  12. Dose banding - Weighing up benefits, risks and therapeutic failure.British journal of clinical pharmacology · 2022
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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

6 authors.

Daniel F B WrightSchool of Pharmacy, University of Otago, Dunedin.
Stephen B DuffullSchool of Pharmacy, University of Otago, Dunedin.
Tony R MerrimanDepartment of Biochemistry, University of Otago, Dunedin.
Nicola DalbethDepartment of Medicine, University of Auckland, Auckland.
Murray L BarclayDepartment of Medicine, University of Otago, Christchurch.
Lisa K StampDepartment of Medicine, University of Otago, Christchurch.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsThe primary aim of this research was to predict the allopurinol maintenance doses required to achieve the target plasma urate of ≤0.36 mmol l(-1) .

methodsA population analysis was conducted in nonmem using oxypurinol and urate plasma concentrations from 133 gout patients. Maintenance dose predictions to achieve the recommended plasma urate target were generated.

resultsThe urate response was best described by a direct effects model. Renal function, diuretic use and body size were found to be significant covariates. Dose requirements increased approximately 2-fold over a 3-fold range of total body weight and were 1.25-2 fold higher in those taking diuretics. Renal function had only a modest impact on dose requirements.

conclusionsContrary to current guidelines, the model predicted that allopurinol dose requirements were determined primarily by differences in body size and diuretic use. A revised guide to the likely allopurinol doses to achieve the target plasma urate concentration is proposed.

Indexed as

Models, BiologicalAllopurinolClinical Trials as TopicDose-Response Relationship, DrugFemaleGoutGout SuppressantsHumansMaleMiddle AgedOxypurinolPredictive Value of TestsUric AcidAllopurinolGout SuppressantsOxypurinolUric Acidallopurinolgoutnonmempharmacokinetic-pharmacodynamics

Identifiers

PMID26451524
PMCPMC4833152

What OpenQuestion holds

Textmetadata
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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.