Evidence map›Paper›PMID 38191784›Full record

ArticleArthritis care & research2024

Unclosing Premature Mortality Gap Among Patients With Gout in the US General Population, Independent of Serum Urate and Atherosclerotic Cardiovascular Risk Factors.

Natalie McCormick, Kehuan Lin, Chio Yokose, Na Lu, Yuqing Zhang, Hyon K Choi

Open access · greenAbstract read
In one paragraph

Article in Arthritis care & research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
3.1field-weighted citation impact, top 8% 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

6 citing papers in PubMed, 9 citations in OpenAlex.

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  6. LeechWorld journal of gastroenterology · 2024
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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 at 2 institutions in 2 countries.

Natalie McCormickMassachusetts General Hospital and Harvard Medical School, Boston, and Arthritis Research Canada, Vancouver, British Columbia, Canada.ORCID 0000-0002-4147-8348
Kehuan LinBrigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts.ORCID 0000-0002-4142-2424
Chio YokoseMassachusetts General Hospital and Harvard Medical School, Boston.ORCID 0000-0001-7557-3303
Na LuArthritis Research Canada, Vancouver, British Columbia, Canada, and Brigham and Women's Hospital, and Harvard Medical School, Boston, Massachusetts.
Yuqing ZhangMassachusetts General Hospital and Harvard Medical School, Boston.ORCID 0000-0001-7638-0888
Hyon K ChoiMassachusetts General Hospital and Harvard Medical School, Boston, and Arthritis Research Canada, Vancouver, British Columbia, Canada.ORCID 0000-0002-2862-0442
Harvard University · USBrigham and Women's Hospital · US

Funding

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
NOVEL METABOLITE AND MICROBIOTA PATHWAYS FOR HYPERURICEMIA AND GOUTR01AR065944 · NIAMS · MASSACHUSETTS GENERAL HOSPITAL · PI CHOI, HYON K · 2013 to 2025
$4.2M
Personalized Comorbidity-Integrated Gout CareK23AR081425 · NIAMS · MASSACHUSETTS GENERAL HOSPITAL · PI Chio Yokose · 2023 to 2026
$704k
Metabolic syndrome, chronic inflammation, and gout: a multi-omics approachR00AR080243 · NIAMS · MASSACHUSETTS GENERAL HOSPITAL · PI Natalie McCormick · 2025 to 2026
$461k
Metabolic syndrome, chronic inflammation, and gout: a multi-omics approachK99AR080243 · NIAMS · MASSACHUSETTS GENERAL HOSPITAL · PI MCCORMICK, NATALIE · 2022 to 2023
$188k
NIAMS NIH HHS K23 AR081425NIAMS NIH HHS K99 AR080243NIAMS NIH HHS P50 AR060772NIAMS NIH HHS R00 AR080243NIAMS NIH HHS R01 AR065944NIH HHS K99-AR-080243NIH HHS P50-AR-060772NIH HHS R01-AR-065944
6 · The paper itself

Abstract

objectiveGout flares are followed by transient major cardiovascular (CV) risk, implicating the role of inflammation; the aim of this study was to determine whether premature mortality rates in patients with gout and CV risk are independent of serum urate (SU) and atherosclerotic CV disease (ASCVD) risk factors.

methodsUsing serial US nationwide prospective cohorts, we evaluated the independent association of prevalent gout with all-cause and CV mortality, adjusting for SU, ASCVD risk factors, comorbidities, medications, and kidney function and compared mortality rates between the early (1988-1994 baseline) and late cohorts (2007-2016 baseline). We replicated late cohort findings among patients with gout in a nationwide UK cohort (2006-2010 baseline).

resultsAdjusted hazard ratios (HRs) for mortality rates in patients with prevalent gout were similar in early and late US cohorts (1.20 [1.03-1.40] and 1.19 [1.04-1.37], respectively); HRs with further adjustment for SU were 1.19 (1.02-1.38) and 1.19 (1.03-1.37), respectively. Adjusted HR among patients with gout from the UK late cohort was 1.61 (1.47-1.75); these associations were larger among women (P = 0.04) and prominent among Black individuals. Adjusted HR for CV mortality rates in the late US cohort was 1.39 (1.09-1.78); those for circulatory, CV, and coronary heart disease deaths among UK patients with incident gout were 1.48 (1.24-1.76), 1.49 (1.20-1.85), and 1.59 (1.26-1.99), respectively.

conclusionsPatients with gout experience a persistent mortality gap in all-cause and CV deaths, even adjusting for SU and ASCVD risk factors, supporting a role for gout-specific pathways (eg, flare inflammation). These findings suggest gaps in current care, particularly in women and possibly among Black patients.

Indexed as

AtherosclerosisGoutMortality, PrematureUric AcidAdultAgedBiomarkersCardiovascular DiseasesFemaleHeart Disease Risk FactorsHumansMaleMiddle AgedPrevalenceProspective StudiesRisk FactorsBiomarkersUric Acid

Identifiers

PMID38191784
PMCPMC11039387
OpenAlexW4390748659

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.