Evidence map›Paper›PMID 39833792›Full record

Observational studyBMC public health2025

The association between body roundness index and new-onset hyperuricemia in Chinese population: the Kailuan cohort study.

Xi Cai, Naihui Zhao, Xuemei Yang, Jiajia Ma, Yajing Liang, Yicheng Liao, Ruiyue Liu, Xinran Wen, Shuohua Chen, Guodong Wang and 3 more

Abstract readObservational Study
In one paragraph

Observational study in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
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  5. Article
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

13 authors.

Xi CaiDepartment of Rheumatology and Immunology, Kailuan General Hospital, North China University of Science and Technology, Tangshan, Hebei, China.ORCID 0009-0004-4525-2997
Naihui ZhaoSchool of Public Health, North China University of Science and Technology, Tangshan, Hebei, China.
Xuemei YangDepartment of Cardiology, First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China.ORCID 0009-0007-5350-9432
Jiajia MaDepartment of Rheumatology and Immunology, Kailuan General Hospital, North China University of Science and Technology, Tangshan, Hebei, China.
Yajing LiangDepartment of Rheumatology and Immunology, Kailuan General Hospital, North China University of Science and Technology, Tangshan, Hebei, China.
Yicheng LiaoDepartment of Cardiology, Kailuan General Hospital, North China University of Science and Technology, Tangshan, Hebei, China.
Ruiyue LiuDepartment of Rheumatology and Immunology, Kailuan General Hospital, North China University of Science and Technology, Tangshan, Hebei, China.
Xinran WenDepartment of Rheumatology and Immunology, Kailuan General Hospital, North China University of Science and Technology, Tangshan, Hebei, China.
Shuohua ChenDepartment of Cardiology, Kailuan General Hospital, North China University of Science and Technology, Tangshan, Hebei, China.
Guodong WangDepartment of Cardiology, Kailuan General Hospital, North China University of Science and Technology, Tangshan, Hebei, China.
Na LiDepartment of Rheumatology and Immunology, Kailuan General Hospital, North China University of Science and Technology, Tangshan, Hebei, China.
Shouling WuDepartment of Cardiology, Kailuan General Hospital, North China University of Science and Technology, Tangshan, Hebei, China. drwusl@163.com.ORCID 0000-0001-7095-6022
Liufu CuiDepartment of Rheumatology and Immunology, Kailuan General Hospital, North China University of Science and Technology, Tangshan, Hebei, China. cuiliufu@hotmail.com.ORCID 0000-0003-2536-8090

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study aimed to investigate the potential relationship between the newly defined adiposity metric, the Body Roundness Index (BRI), which assesses central obesity, and the development of new-onset hyperuricemia.

methodsIn the Kailuan cohort study from 2006 to 2019, 91,804 eligible participants were included. A multivariate Cox regression model was used to test the correlation between BRI and hyperuricemia. At the same time, the restricted cubic spline was applied to solve the dose-response relationship between BRI and the risk of hyperuricemia.Then, stratified analysis was carried out using multivariate Cox regression according to age, sex, hs-CRP level, TG level, education level, smoking status and hypertension status.

resultsThe results showed that the risk of new-onset hyperuricemia was significantly increased in the highest quartile compared with the lowest quartile. After adjusting for confounders, compared with Q1, the HR (95% CI) for new-onset hyperuricemia was 1.24 (1.18-1.30), 1.32 (1.25-1.40), and 1.40 (1.29-1.52) for Q2, Q3, and Q4, respectively. Restricted cubic spline analysis showed a J-curve relationship between baseline BRI levels and new-onset hyperuricaemia. Age, sex, hs-CRP level, TG level, income level, education level, smoking, and hypertension each had a multiplicative interaction with BRI at baseline.

conclusionWe found that elevated BRI increased the risk of developing new-onset hyperuricaemia. In addition, the association between elevated BRI and the risk of new-onset hyperuricemia showed dependency on age, sex, hs-CRP level, TG level, education level, smoking status and hypertension status.

Indexed as

HyperuricemiaObesity, AbdominalAdultAgedChinaCohort StudiesFemaleHumansMaleMiddle AgedRisk FactorsBody roundness indexHyperuricemiaObesity

Identifiers

PMID39833792
PMCPMC11744902

What OpenQuestion holds

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Registered trials

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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.