Evidence map›Paper›PMID 34587966›Full record

ArticleLipids in health and disease2021

The association of lipid ratios with hyperuricemia in a rural Chinese hypertensive population.

Yu Yu, Tian Lan, Dandan Wang, Wangsheng Fang, Yu Tao, Minghui Li, Xiao Huang, Wei Zhou, Tao Wang, Lingjuan Zhu and 2 more

Open access · goldAbstract read
In one paragraph

Article in Lipids in health and disease, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.6field-weighted citation impact, top 10% of its field
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

14 citing papers in PubMed, 23 citations in OpenAlex.

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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 at 1 institution in 1 country.

Yu YuDepartment of Cardiovascular Medicine, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China.ORCID http://orcid.org/0000-0001-7355-2437
Tian LanDepartment of Health Care Management, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China.
Dandan WangDepartment of Cardiovascular Medicine, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China.
Wangsheng FangWuyuan County Health Committee, Wuyuan of Jiangxi, Nanchang, China.
Yu TaoDepartment of Cardiovascular Medicine, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China.
Minghui LiDepartment of Cardiovascular Medicine, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China.
Xiao HuangDepartment of Cardiovascular Medicine, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China.
Wei ZhouCenter for Prevention and Treatment of Cardiovascular Diseases, Nanchang of Jiangxi, The Second Affiliated Hospital of Nanchang University, Nanchang, China.
Tao WangCenter for Prevention and Treatment of Cardiovascular Diseases, Nanchang of Jiangxi, The Second Affiliated Hospital of Nanchang University, Nanchang, China.
Lingjuan ZhuCenter for Prevention and Treatment of Cardiovascular Diseases, Nanchang of Jiangxi, The Second Affiliated Hospital of Nanchang University, Nanchang, China.
Huihui BaoDepartment of Cardiovascular Medicine, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China. huihui_bao77@126.com.ORCID http://orcid.org/0000-0001-6845-1009
Xiaoshu ChengDepartment of Cardiovascular Medicine, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China. xiaoshumenfan126@163.com.ORCID http://orcid.org/0000-0001-7445-1988
Nanchang University · CN

Funding

Science and Technology Innovation Platform Project of Jiangxi Province 20165BCD41005Science and Technology Plan of Health Commission of Jiangxi Province 20185215
6 · The paper itself

Abstract

backgroundCurrent studies support lipid ratios [the total cholesterol (TC)/high-density lipoprotein cholesterol (HDL-C) ratio; the triglyceride (TG)/HDL-C ratio; the low-density lipoprotein cholesterol (LDL -C)/HDL-C ratio; and non-HDL-C] as reliable indicators of cardiovascular disease, stroke, and diabetes. However, whether lipid ratios could serve as markers for hyperuricemia (HUA) remains unclear due to limited research. This study aimed to explore the association between lipid ratios and HUA in hypertensive patients.

methodsThe data from 14,227 Chinese hypertensive individuals in the study were analyzed. Multiple logistic regression analysis and smooth curve fitting models examined the relationship between lipid ratios and HUA.

resultsThe results showed positive associations between the lipid ratios and HUA (all P < 0.001). Furthermore, lipid ratios were converted from continuous variables to tertiles. Compared to the lowest tertile, the fully adjusted ORs (95 % CI) of the TC/HDL-C ratio, the TG/HDL-C ratio, the LDL-C/HDL-C ratio, and non-HDL-C in the highest tertile were 1.79 (1.62, 1.99), 2.09 (1.88, 2.32), 1.67 (1.51, 1.86), and 1.93 (1.74, 2.13), respectively (all P < 0.001).

conclusionsThe study suggested that high lipid ratios (TC/HDL-C ratio, TG/HDL-C ratio, LDL-C/HDL-C ratio, and non-HDL-C) are associated with HUA in a Chinese hypertensive population. This study's findings further expand the scope of the application of lipid ratios. These novel and essential results suggest that lipid ratio profiles might be potential and valuable markers for HUA.

trial registrationNo. ChiCTR1800017274. Registered July 20, 2018.

Indexed as

AgedChinaCholesterol, HDLCholesterol, LDLCross-Sectional StudiesFemaleHumansHypertensionHyperuricemiaLipidsMaleMiddle AgedOdds RatioRegistriesRegression AnalysisReproducibility of ResultsCholesterol, HDLCholesterol, LDLLipidsTriglyceridesHigh-density lipoprotein cholesterolHypertensionHyperuricemiaLipid ratiosRural China

Identifiers

PMID34587966
PMCPMC8482679
OpenAlexW3201712791

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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.