Evidence map›Paper›PMID 39334489›Full record

ArticleAdvances in rheumatology (London, England)2024

Gout comorbidities: results from the Korean National Health and Nutrition Examination Survey.

Hyemin Jeong, Young-Soo Chang, Chan Hong Jeon

Abstract read
In one paragraph

Article in Advances in rheumatology (London, England), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

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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

3 authors.

Hyemin JeongDivision of Rheumatology, Department of Internal Medicine, Soonchunhyang University Bucheon Hospital, 170 Jomaru-ro, Bucheon, 14584, South Korea.ORCID 0000-0001-6227-681X
Young-Soo ChangDepartment of Otorhinolaryngology-Head and Neck Surgery, Sanggye Paik Hospital, College of Medicine, Inje University, Seoul, South Korea.
Chan Hong JeonDivision of Rheumatology, Department of Internal Medicine, Soonchunhyang University Bucheon Hospital, 170 Jomaru-ro, Bucheon, 14584, South Korea. chjeon@gmail.com.ORCID 0000-0002-2430-7264

Funding

National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT) No. 2021R1G1A1094093Soonchunhyang University Research Fund Soonchunhyang University Research Fund
6 · The paper itself

Abstract

objectivesGout is associated with several comorbidities. This study aimed to evaluate the prevalence of comorbidities in the Korean adult population with gout and investigated the association of gout with these comorbidities.

methodsData from 15,935 (weighted n = 39,049,167) participants aged 19 years and older in the Korean National Health and Nutrition Examination Survey from 2019 to 2021 were used for analysis. Weighted prevalence and odds ratios (OR) of comorbidities in individuals with gout were compared to a non-gout population.

resultsThe weighted prevalence of gout was 2.1% (weighted n = 808,778). Among individuals with gout, 66.5% had metabolic syndrome, 54.9% had hypertension, 41.2% had hypercholesterolemia, 19.1% had diabetes, 13.5% had chronic kidney disease (CKD), 4.1% had myocardial infarction or angina, 3.8% had stroke, and 2.8% had rheumatoid arthritis (RA). After adjusting for socioeconomic and lifestyle characteristics, gout was independently associated with the increased prevalence of metabolic syndrome (male OR = 2.0, 95% confidence interval (CI): 1.5-2.8; female OR = 3.7, 95% CI: 1.5-9.2), hypercholesterolemia (male OR = 1.9, 95% CI: 1.4-2.5; female OR = 3.1, 95% CI: 1.3-7.5), CKD (male OR = 4.5, 95% CI: 2.7-7.3; female OR = 11.5, 95% CI: 4.1-32.1), and RA (male OR = 2.8, 95% CI: 1.1-7.1; female OR = 3.1, 95% CI: 1.1-8.7) compared to the non-gout population.

conclusionsGout was associated with several comorbidities, including RA, in both males and females. These results suggest that the prevention and treatment of comorbidities at the individual level, carried out by clinicians, and knowledge of these comorbidities would help guide health policies for the Korean population.

Indexed as

ComorbidityGoutHypercholesterolemiaHypertensionMetabolic SyndromeNutrition SurveysRenal Insufficiency, ChronicAdultAgedDiabetes MellitusFemaleHumansMaleMiddle AgedOdds RatioPrevalenceComorbidityGout

Identifiers

PMID39334489
PMCPMC13488848

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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.