Evidence map›Paper›PMID 39449072›Full record

ArticleJournal of health, population, and nutrition2024

Lowering the risk of hyperuricemia and gout is associated with ideal cardiovascular health.

Pengfei Liu, Kaisaierjiang Kadier, Chunying Cui, Xinliang Peng, Wenqing Hou, Aikeliyaer Ainiwaer, Asiya Abudesimu, Qi Wang, Mierxiati Ainiwan, Xiaozhu Liu and 2 more

Abstract read
In one paragraph

Article in Journal of health, population, and nutrition, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

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

10 citing papers in PubMed.

  1. Life's Essential 8 and cardiovascular health: Protective effects on chronic respiratory diseases.International journal of cardiology. Cardiovascular risk and prevention · 2026
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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.

Pengfei Liu *Department of Cardiology, First Affiliated Hospital of Xinjiang Medical University, Urumqi, China.
Kaisaierjiang Kadier *Department of Cardiology, First Affiliated Hospital of Xinjiang Medical University, Urumqi, China. ks_kdr@yeah.net.
Chunying Cui *Department of Emergency, Jining No.1 People's Hospital, Jining, China.
Xinliang PengDepartment of Cardiology, First Affiliated Hospital of Xinjiang Medical University, Urumqi, China.
Wenqing HouSchool of Information Network Security, Xinjiang University of Political Science and Law, Tumxuk, China.
Aikeliyaer AiniwaerDepartment of Physiology, Cardiovascular Research Institute Maastricht (CARIM), Maastricht, Netherlands.
Asiya AbudesimuDepartment of Cardiology, First Affiliated Hospital of Xinjiang Medical University, Urumqi, China.
Qi WangDepartment of Cardiology, First Affiliated Hospital of Xinjiang Medical University, Urumqi, China.
Mierxiati AiniwanDepartment of Cardiology, First Affiliated Hospital of Xinjiang Medical University, Urumqi, China.
Xiaozhu LiuDepartment of Critical Care Medicine, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.
Yitong MaDepartment of Cardiology, First Affiliated Hospital of Xinjiang Medical University, Urumqi, China.
Xiang MaDepartment of Cardiology, First Affiliated Hospital of Xinjiang Medical University, Urumqi, China. maxiangxj@yeah.net.

Funding

Key research projects in Xinjiang Uygur Autonomous Region 2022B03022-3National Natural Science Foundation of China 82360090
6 · The paper itself

Abstract

backgroundHyperuricemia (HUA) and gout have been demonstrated as independent risk factors for cardiovascular disease. The relationship between the recently updated Life's Essentials 8 (LE8), which measures ideal cardiovascular health (CVH), and HUA and gout remains unclear. The aim of this study was to explore the relationship between CVH and the prevalence of HUA and gout among a nationally representative sample of US adults.

methodsThis study utilized cross-sectional analysis of data from the National Health and Nutrition Examination Survey (NHANES) for the years 2007 to 2018. The CVH scores and their corresponding components were defined according to the guidelines established by the American Heart Association. The association between the LE8 score and both HUA and gout was assessed using weighted multivariable logistic and restricted cubic spline (RCS) models.

resultsAmong the 21,155 participants aged 20 years and older, the prevalence of HUA was 17.20% (95% CI, 16.05-18.36%), and the prevalence of gout was 3.58% (95% CI, 3.13-4.02%). After adjusting for potential confounders, compared to participants exhibiting low CVH, the multivariable adjusted odds ratio (OR) for HUA was 0.65 (95% CI, 0.56-0.75) in those with moderate CVH, and 0.25 (95% CI, 0.20-0.31) in those with high CVH. Additionally, compared to participants with low CVH, the multivariable adjusted OR for gout was 0.66 (95% CI, 0.53-0.81) in those with moderate CVH and 0.32 (95% CI, 0.20-0.50) in those with high CVH. The LE8 score exhibited a significant nonlinear negative association with HUA and linear negative correlation with gout. In subgroup analyses focusing on HUA, significant interactions were observed between LE8 score and age, sex, and CKD (P for interaction < 0.05). For gout, only a significant interaction between LE8 score and sex was observed (P for interaction < 0.05).

conclusionsAmong adults, there was a significant negative correlation between LE8 score and the prevalence of HUA and gout. Maintaining an ideal CVH may be beneficial in reducing the burden of HUA and gout.

Indexed as

Cardiovascular DiseasesGoutHyperuricemiaNutrition SurveysAdultAgedCross-Sectional StudiesFemaleHealth StatusHumansMaleMiddle AgedPrevalenceRisk FactorsUnited StatesYoung AdultCardiovascular healthGoutHyperuricemiaLife’s essential 8NHANES

Identifiers

PMID39449072
PMCPMC11520112

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.