Evidence map›Paper›PMID 32552893›Full record

ArticleLipids in health and disease2020

LDL-cholesterol to HDL-cholesterol ratio discordance with lipid parameters and carotid intima-media thickness: a cohort study in China.

Yanmei Lou, Xue Li, Liming Cao, Pei Qin, Jing Shi, Yanyan Zhang, Changyi Wang, Jianping Ma, Li Wang, Xiaolin Peng and 5 more

Open access · goldAbstract read
In one paragraph

Article in Lipids in health and disease, 2020. 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
2.4field-weighted citation impact, top 9% 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, 26 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

15 authors at 3 institutions in 1 country.

Yanmei LouDepartment of Health Management, Beijing Xiao Tang Shan Hospital, Beijing, People's Republic of China.
Xue LiDepartment of Epidemiology, College of Public Health, Harbin Medical University, Harbin, Heilongjiang, People's Republic of China.
Liming CaoDepartment of Epidemiology, College of Public Health, Harbin Medical University, Harbin, Heilongjiang, People's Republic of China.
Pei QinSchool of Public Health, Shenzhen University Health Science Center, Shenzhen, Guangdong, People's Republic of China.
Jing ShiDepartment of Epidemiology, College of Public Health, Harbin Medical University, Harbin, Heilongjiang, People's Republic of China.
Yanyan ZhangSchool of Public Health, Shenzhen University Health Science Center, Shenzhen, Guangdong, People's Republic of China.
Changyi WangDepartment of Non-communicable Disease Prevention and Control, Shenzhen Nanshan Center for Chronic disease, Shenzhen, Guangdong, People's Republic of China.
Jianping MaDepartment of Non-communicable Disease Prevention and Control, Shenzhen Nanshan Center for Chronic disease, Shenzhen, Guangdong, People's Republic of China.
Li WangDepartment of Non-communicable Disease Prevention and Control, Shenzhen Nanshan Center for Chronic disease, Shenzhen, Guangdong, People's Republic of China.
Xiaolin PengDepartment of Non-communicable Disease Prevention and Control, Shenzhen Nanshan Center for Chronic disease, Shenzhen, Guangdong, People's Republic of China.
Hongen ChenDepartment of Non-communicable Disease Prevention and Control, Shenzhen Nanshan Center for Chronic disease, Shenzhen, Guangdong, People's Republic of China.
Shan XuDepartment of Non-communicable Disease Prevention and Control, Shenzhen Nanshan Center for Chronic disease, Shenzhen, Guangdong, People's Republic of China.
Fulan HuSchool of Public Health, Shenzhen University Health Science Center, Shenzhen, Guangdong, People's Republic of China. hufu1525@163.com.
Yashuang ZhaoDepartment of Epidemiology, College of Public Health, Harbin Medical University, Harbin, Heilongjiang, People's Republic of China. Zhao_yashuang@263.net.
Ping ZhaoDepartment of Health Management, Beijing Xiao Tang Shan Hospital, Beijing, People's Republic of China. 191405173@qq.com.
Shenzhen Nanshan Center for Chronic Disease Control · CNHarbin Medical University · CNShenzhen University Health Science Center · CN

Funding

The outstanding youth talent support program for training excellent talents in Fangshan District, Beijing, China 2016000000007B001
6 · The paper itself

Abstract

backgroundThe discordance of the low-density lipoprotein cholesterol-to-high-density lipoprotein cholesterol (LDL-C/HDL-C) ratio with alterative lipid parameters may explain the inconsistent association of CIMT with the LDL-C/HDL-C ratio. Therefore, this study aimed to explore the associations between LDL-C/HDL-C ratio discordance with alternative lipid parameters and elevated carotid intima-media thickness (CIMT) risk in a large cohort in Beijing, China.

methodsIn total, 13,612 adults who didn't have elevated CIMT at baseline and who participated in at least one follow-up of annual examination between 2009 and 2016 were included in this cohort study. A multivariable Cox regression model was utilized to evaluate the associations of discordance of the LDL-C/HDL-C ratio with TC, TGs, LDL-C and HDL-C with elevated CIMT risk.

resultsDuring 37,999 person-years of follow-up, 2004 individuals (1274 men and 730 women) developed elevated CIMT. Among individuals with normal TC and TGs, 16.6 and 15.2% individuals had a discordantly high LDL-C/HDL-C ratio, respectively, and the risk of elevated CIMT increased by 1.54 (95% CI 1.33, 1.77) and 1.53 (95% CI 1.33, 1.76), respectively, comparing to individuals with a concordantly low LDL-C/HDL-C ratio. A high LDL-C/HDL-C ratio could significantly increase elevated CIMT risk regardless of discordance/concordance with LDL-C and HDL-C (P < 0.001). A low LDL-C/HDL-C ratio with discordantly normal HDL-C and high LDL-C (13.2% of individuals) had a 32% (HR = 1.32, 95% CI 1.11, 1.57) higher risk of elevated CIMT than concordantly low LDL-C and normal HDL-C. Sensitivity analysis by excluding CIMT developed in the first 2 years follow-up further confirmed the above results.

conclusionsA high LDL-C/HDL-C ratio could significantly increase elevated CIMT risk regardless of discordance/concordance with TC, TGs, LDL-C and HDL-C Even a low LDL-C/HDL-C ratio with discordantly high LDL-C and normal HDL-C could also significantly increase CIMT risk. Individuals should maintain both the LDL-C/HDL-C ratio and LDL-C at normal levels to prevent elevated CIMT.

Indexed as

Carotid Intima-Media ThicknessAdultAtherosclerosisCarotid ArteriesChinaCholesterol, HDLCholesterol, LDLCohort StudiesFemaleHumansLipidsMaleMiddle AgedRisk FactorsTriglyceridesCholesterol, HDLCholesterol, LDLLipidsTriglyceridesCarotid intima-media thicknessCohortDiscordanceHigh-density lipoprotein cholesterolLow-density lipoprotein cholesterolLow-density lipoprotein cholesterol/high-density lipoprotein cholesterol radioTotal cholesterolTriglycerides

Identifiers

PMID32552893
PMCPMC7302368
OpenAlexW3036360047

What OpenQuestion holds

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LicenceCC BY
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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.