Evidence map›Paper›PMID 34108010›Full record

ArticleNutrition & metabolism2021

Association between baseline and changes in serum uric acid and incident metabolic syndrome: a nation-wide cohort study and updated meta-analysis.

Sen Chen, Nianwei Wu, Chuan Yu, Ying Xu, Chengfu Xu, Yuli Huang, Jian Zhao, Ningxiu Li, Xiong-Fei Pan

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Nutrition & metabolism, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Association betweenFrontiers in medicine · 2025
    Article
  3. Observational
  4. Review
  5. Article
  6. Article
  7. Study on Dynamic Progression and Risk Assessment of Metabolic Syndrome Based on Multi-State Markov Model.Diabetes, metabolic syndrome and obesity : targets and therapy · 2022
    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

9 authors.

Sen ChenDepartment of Health and Social Behavior, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China.
Nianwei WuDepartment of Health and Social Behavior, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China.
Chuan YuDepartment of Health and Social Behavior, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China.
Ying XuKidney Disease Center, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China.
Chengfu XuDepartment of Gastroenterology, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China.
Yuli HuangDepartment of Cardiology, Shunde Hospital, Southern Medical University, Foshan, China.
Jian ZhaoThe Ministry of Education - Shanghai Key Laboratory of Children's Environmental Health, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Ningxiu LiDepartment of Health and Social Behavior, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China. liningxiu@163.com.
Xiong-Fei PanThe George Institute for Global Health, Faculty of Medicine, University of New South Wales, Sydney, Australia. pxiongfei@gmail.com.

Funding

International Postdoctoral Exchange Fellowship of the China Postdoctoral Council No. 20180062
6 · The paper itself

Abstract

backgroundTo prospectively examine the associations of baseline serum uric acid (SUA) and SUA changes with incident metabolic syndrome (MetS) and update the evidence through a meta-analysis.

methodsOur analyses were based on the China Health and Retirement Longitudinal Study from 2011-2012 to 2015-2016. The exposures were baseline SUA and SUA changes, and the outcome was incident MetS assessed in 2015-2016. Logistic regression was used to estimate odds ratios (ORs) and 95% confidence intervals (CIs). A meta-analysis was conducted to synthesize evidence from all cohort studies on the same topic.

resultsOf 3779 participants (47.2% men; mean age: 59.5 years) without MetS, 452 participants developed MetS after a follow-up of 4 years. Compared to the lowest quartiles, the adjusted ORs (95% CIs) for MetS were 1.08 (0.77-1.50), 1.32 (0.95-1.82), and 1.55 (1.12-2.16) for three higher quartiles of baseline SUA, and 1.23 (0.89-1.71), 1.39 (1.00-1.93), and 1.89 (1.38-2.58) for three higher quartiles of SUA changes. Each increment of 1 mg/dL of baseline SUA level was associated with 19% higher odds of MetS (adjusted OR 1.19; 95% CI 1.07-1.33). In the meta-analysis of 24 cohort studies among 140,913 participants, the pooled relative risk (95% CI) was 1.32 (1.25-1.40) for the highest versus lowest SUA category, and 1.15 (1.09-1.21) for each 1 mg/dL increase in the SUA level.

conclusionsBoth baseline SUA and longitudinal SUA changes were positively associated with risk of MetS among middle-aged and elderly Chinese, which was supported by findings from a comprehensive meta-analysis across multiple populations. SUA levels might need to be monitored closely for subsequent risk of MetS in clinical practice.

Indexed as

ChineseCohortMeta-analysisMetabolic syndromeSerum uric acid

Identifiers

PMID34108010
PMCPMC8191036

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.