Evidence map›Paper›PMID 30503879›Full record

Trial reportThe American journal of medicine2019

Adherence and Outcomes with Urate-Lowering Therapy: A Site-Randomized Trial.

Ted R Mikuls, T Craig Cheetham, Gerald D Levy, Nazia Rashid, Artak Kerimian, Kimberly J Low, Brian W Coburn, David T Redden, Kenneth G Saag, P Jeffrey Foster and 2 more

Abstract readPragmatic Clinical TrialRandomized Controlled Trial
In one paragraph

Trial report in The American journal of medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 5 pooled it
5.4field-weighted citation impact, top 3% 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

35 citing papers in PubMed, 5 syntheses or guidelines pooled it, 70 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 3 institutions in 1 country.

Ted R MikulsDivision of Rheumatology, University of Nebraska Medical Center and Veterans Affairs (VA) Nebraska-Western Iowa Health Care System, Omaha, Neb. Electronic address: tmikuls@unmc.edu.
T Craig CheethamDepartment of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, Calif; Western University of Health Sciences, College of Pharmacy, Pomona, Calif.
Gerald D LevyDepartment of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, Calif.
Nazia RashidDrug Information Services, Kaiser Permanente Southern California, Downey, Calif.
Artak KerimianDepartment of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, Calif.
Kimberly J LowDepartment of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, Calif.
Brian W CoburnDivision of Rheumatology, University of Nebraska Medical Center and Veterans Affairs (VA) Nebraska-Western Iowa Health Care System, Omaha, Neb.
David T ReddenDepartment of Biostatistics, University of Alabama at Birmingham.
Kenneth G SaagDivision of Rheumatology, University of Alabama at Birmingham.
P Jeffrey FosterDivision of Rheumatology, University of Alabama at Birmingham.
Lang ChenDivision of Rheumatology, University of Alabama at Birmingham.
Jeffrey R CurtisDivision of Rheumatology, University of Alabama at Birmingham.
Kaiser Permanente · USUniversity of Alabama at Birmingham · USVA Nebraska Western Iowa Health Care System · US

Funding

Tracking and Evaluation CoreU54GM115458 · NIGMS · UNIVERSITY OF NEBRASKA MEDICAL CENTER · PI RIZZO, MATTHEW · 2016 to 2025
$42.8M
The Effects of Urate Lowering Therapy on Inflammation, Endothelial function, andP50AR060772 · NIAMS · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI SAAG, KENNETH G · 2012 to 2021
$12.8M
UNMC Summer Undergraduate Alcohol Research ProgramR25AA020818 · NIAAA · UNIVERSITY OF NEBRASKA MEDICAL CENTER · PI Kristina L Bailey · 2012 to 2026
$931k
NIAAA NIH HHS R25 AA020818NIAMS NIH HHS P50 AR060772NIGMS NIH HHS U54 GM115458
6 · The paper itself

Abstract

purposeThe purpose of this study was to test a pharmacist-led intervention to improve gout treatment adherence and outcomes.

methodsWe conducted a site-randomized trial (n=1463 patients) comparing a 1-year, pharmacist-led intervention to usual care in patients with gout initiating allopurinol. The intervention was delivered primarily through automated telephone technology. Co-primary outcomes were the proportion of patients adherent (proportion of days covered ≥0.8) and achieving a serum urate <6.0 mg/dl at 1 year. Outcomes were reassessed at year 2.

resultsPatients who underwent intervention were more likely than patients of usual care to be adherent (50% vs 37%; odds ratio [OR] 1.68; 95% confidence interval [CI] 1.30, 2.17) and reach serum urate goal (30% vs 15%; OR 2.37; 95% CI 1.83, 3.05). In the second year (1 year after the intervention ended), differences were attenuated, remaining significant for urate goal but not for adherence. The intervention was associated with a 6%-16% lower gout flare rate during year 2, but the differences did not reach statistical significance.

conclusionsA pharmacist-led intervention incorporating automated telephone technology improved adherence and serum urate goal in patients with gout initiating allopurinol. Although this light-touch, low-tech intervention was efficacious, additional efforts are needed to enhance patient engagement in gout management and ultimately to improve outcomes.

Indexed as

Drug MonitoringAdultAgedAllopurinolFemaleGoutGout SuppressantsHumansMaleMiddle AgedOdds RatioPatient ParticipationPharmacistsProfessional RoleTelephoneTreatment OutcomeAllopurinolGout SuppressantsUric AcidAdherenceAllopurinolGoutPharmacistPragmatic trialRandomized trialSerum urate

Identifiers

PMID30503879
PMCPMC6399023
OpenAlexW2902499287

What OpenQuestion holds

Textmetadata
LicenceTDM
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.