Evidence map›Paper›PMID 38873862›Full record

ArticleClinical cardiology2024

Urate-lowering therapy in patients with hyperuricemia and heart failure: A retrospective cohort study using the UK Clinical Practice Research Datalink.

Steven J Kiddle, Karolina Andersson Sundell, Shira Perl, Stephen Nolan, Magnus Bjursell

Abstract readMulticenter Study
In one paragraph

Article in Clinical cardiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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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

2 citing papers in PubMed.

  1. Article
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4 · The record

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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

5 authors.

Steven J KiddleData Science & Advanced Analytics, Data Science & Artificial Intelligence, R&D, AstraZeneca, Cambridge, UK.ORCID http://orcid.org/0000-0003-4350-7437
Karolina Andersson SundellCardiovascular, Renal and Metabolic (CVRM) Evidence, BioPharmaceuticals Medical, AstraZeneca, Gothenburg, Sweden.
Shira PerlLate-stage Development, Clinical, Cardiovascular, Renal and Metabolic (CVRM), BioPharmaceuticals R&D, AstraZeneca, Gaithersburg, Maryland, USA.
Stephen NolanLate-stage Development, Clinical, Cardiovascular, Renal and Metabolic (CVRM), BioPharmaceuticals R&D, AstraZeneca, Cambridge, UK.
Magnus BjursellGlobal Medical Affairs, Clinical, Cardiovascular, Renal and Metabolic (CVRM), BioPharmaceuticals Medical, AstraZeneca, Gothenburg, Sweden.

Funding

AstraZeneca
6 · The paper itself

Abstract

backgroundElevated serum uric acid (sUA) is associated with heart failure (HF). HYPOTHESIS: Urate-lowering therapy (ULT) in HF is associated with lower risk of HF hospitalization (hHF) and mortality.

methodsData on patients with HF and gout or hyperuricemia in the Clinical Practice Research Datalink database linked to the Hospital Episode Statistics and the Office for National Statistics in the United Kingdom were analyzed. Risks of hHF and all-cause mortality or cardiovascular-related mortality by ULT exposure (ULT initiated within ≤6 months of gout or hyperuricemia diagnosis) were analyzed in a propensity score-matched cohort using adjusted Cox proportional hazards regression models.

resultsOf 2174 propensity score-matched pairs, patients were predominantly male, aged >70 years, with mean ± standard deviation sUA 9.3 ± 1.8 (ULT-exposed) and 9.4 ± 1.9 mg/dL (ULT-unexposed). At 5 years, ULT-exposed patients had a 43% lower risk of hHF or all-cause mortality (adjusted hazard ratio [HR]: 0.57; 95% confidence interval [CI]: 0.51-0.65) and a 19% lower risk of hHF or cardiovascular-related mortality (adjusted HR: 0.81; 95% CI: 0.71-0.92) versus no ULT exposure.

conclusionULT was associated with reduced risk of adverse clinical outcomes in patients with HF and gout or hyperuricemia over 5 years.

Indexed as

Gout SuppressantsHeart FailureHyperuricemiaUric AcidAgedBiomarkersDatabases, FactualFemaleFollow-Up StudiesGoutHumansMaleMiddle AgedRetrospective StudiesRisk FactorsTime FactorsBiomarkersGout SuppressantsUric Acidgoutheart failurehyperuricemiaurate‐lowering therapy

Identifiers

PMID38873862
PMCPMC11177015

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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.