Evidence map›Paper›PMID 35369882›Full record

ArticleLipids in health and disease2022

The dose-response relationship of serum uric acid with Dyslipidaemia and its components: a cross-sectional study of a Chinese multi-ethnic cohort.

Lian Peng, Leilei Liu, Nana Ma, Fan Yang, Chan Nie, Tingting Yang, Qibing Zeng, Ziyun Wang, Degan Xu, Lu Ma and 2 more

Abstract read
In one paragraph

Article in Lipids in health and disease, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

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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.

Lian PengSchool of Public Health, The Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Dongqing Road, Guian New Area, Guiyang, 550025, People's Republic of China.
Leilei LiuSchool of Public Health, The Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Dongqing Road, Guian New Area, Guiyang, 550025, People's Republic of China.
Nana MaSchool of Public Health, The Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Dongqing Road, Guian New Area, Guiyang, 550025, People's Republic of China.
Fan YangSchool of Public Health, The Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Dongqing Road, Guian New Area, Guiyang, 550025, People's Republic of China.
Chan NieSchool of Public Health, The Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Dongqing Road, Guian New Area, Guiyang, 550025, People's Republic of China.
Tingting YangSchool of Public Health, The Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Dongqing Road, Guian New Area, Guiyang, 550025, People's Republic of China.
Qibing ZengSchool of Public Health, The Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Dongqing Road, Guian New Area, Guiyang, 550025, People's Republic of China.
Ziyun WangSchool of Public Health, The Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Dongqing Road, Guian New Area, Guiyang, 550025, People's Republic of China.
Degan XuGuiyang Center for Disease Control and Prevention, Guiyang, 550003, China.
Lu MaGuiyang Center for Disease Control and Prevention, Guiyang, 550003, China.
Yuyan XuSchool of Public Health, The Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Dongqing Road, Guian New Area, Guiyang, 550025, People's Republic of China. xuyuyan@gmc.edu.cn.
Feng HongSchool of Public Health, The Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Dongqing Road, Guian New Area, Guiyang, 550025, People's Republic of China. fhong@gmc.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe association between serum uric acid (SUA) and the components of dyslipidaemia and their dose-response relationships have not been thoroughly explored. This study assessed the relationship between SUA and each dyslipidaemia component in Dong, Miao, and Bouyei populations in Guizhou by sex and ethnicities and investigated the dose-response relationship.

methodsIn total, 16,092 participants aged 30-79 years from The China Multi-Ethnic Cohort (CMEC) Study were examined. Multivariable logistic regression models were applied to explore the relationship between SUA and each dyslipidaemia component by sex and three ethnicities. The dose-response associations between SUA and various dyslipidaemias were investigated using restricted cubic spline regression.

resultsAfter controlling for confounding factors, the SUA level in total participants positively correlated with each dyslipidaemia component, and women had higher odds ratios (ORs) for each dyslipidaemia component than men (P for trend < 0.001). At the SUA level > 6.37 mg/dL, ORs (95% CI) for dyslipidaemia in the Dong, Miao and Bouyei were 2.89 (2.00-4.19), 2.43 (1.70-3.48), and 3.26 (2.23-4.78), respectively. When the SUA concentration increased by 1 mg/dL, the ORs (95% CI) for total dyslipidaemia was 1.31 (1.24-1.37). A positive dose-response but nonlinear association was found between SUA and total dyslipidaemia, high total cholesterol, and low HDL, whereas an inverse U-shaped association was found between SUA and high LDL-C ( P-nonlinear< 0.0001).

conclusionThe SUA level was positively correlated with each dyslipidaemia component in Dong, Miao, and Bouyei adults, and sex and ethnic differences were also found. A nonlinear dose-response relationship was found between SUA levels and dyslipidaemia and its components. Further research is warranted to investigate the causal link between SUA levels and dyslipidaemia incidence.

Indexed as

DyslipidemiasUric AcidAdultAgedChinaCohort StudiesCross-Sectional StudiesFemaleHumansMaleMiddle AgedUric AcidDose-response relationshipDyslipidaemiaRisk factorSerum uric acid

Identifiers

PMID35369882
PMCPMC8978377

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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.