Evidence map›Paper›PMID 29433526›Full record

ArticleLipids in health and disease2018

Small dense low density lipoprotein-cholesterol and cholesterol ratios to predict arterial stiffness progression in normotensive subjects over a 5-year period.

Gang Li, Hui-Kun Wu, Xiao-Wei Wu, Zhe Cao, Yuan-Chao Tu, Yi Ma, Wei-Qing Wang, Jian Cheng, Zi-Hua Zhou

Abstract read
In one paragraph

Article in Lipids in health and disease, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 2 pooled it
–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

22 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Journal of medicinal food · 2020
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  5. Pulse Wave Velocity Progression Determinants: No Significant Association with Novel Lipids Parameter.High blood pressure & cardiovascular prevention : the official journal of the Italian Society of Hypertension · 2025
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  19. Precipitated sdLDL: An easy method to estimate LDL particle size.Journal of clinical laboratory analysis · 2020
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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

9 authors.

Gang LiEmergency Department, Hubei Provincial Hospital of Traditional Chinese Medicine, Wuhan, 430061, China.
Hui-Kun WuDepartment of Hepatology, Hubei Provincial Hospital of Traditional Chinese Medicine, Wuhan, China.
Xiao-Wei WuDepartment of Thoracic Surgery, TongJi Hospital, TongJi Medical College, Huazhong University of Science and Technology, Wuhan, China. wuxiaowei119@gmail.com.
Zhe CaoDepartment of Cardiology, The Central Hospital of Wuhan, Wuhan, China.
Yuan-Chao TuHubei Province Academy of Traditional Chinese Medicine, Wuhan, China. tuyuanchao@hbhtcm.com.
Yi MaEmergency Department, Hubei Provincial Hospital of Traditional Chinese Medicine, Wuhan, 430061, China.
Wei-Qing WangEmergency Department, Hubei Provincial Hospital of Traditional Chinese Medicine, Wuhan, 430061, China.
Jian ChengEmergency Department, Wuhan General Hospital of Guangzhou Military Command, Wuhan, China.
Zi-Hua ZhouInstitute of Cardiology, Union Hospital, Tongji Medical College, Huazhong University of Science & Technology, Wuhan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSmall dense low density lipoprotein-cholesterol (sdLDL-C), cholesterol ratios and carotid-femoral pulse wave velocity (cf-PWV) impart risk for all-cause morbidity and mortality independently of conventional cardiovascular disease (CVD) risk factors. This study was designed to identify feasible indicators for predicting arterial stiffness progression.

methodsWe followed up 816 normotensive participants without diabetes or CVD for nearly 5.0 years. Cholesterol parameters, ratios and other clinical and laboratory data were collected at baseline. cf-PWV were measured at baseline and the end of follow-up.

resultsPWV progression subjects had higher levels of PWV parameters, sdLDL-C and TG/HDL-C ratio. sdLDL-C and TG/HDL-C were significantly correlated with all PWV parameters. Multiple regression models showed that sdLDL-C was closely associated with follow-up PWV (β = 0.222, p < 0.001) and △PWV (β = 0.275, p < 0.001). TG/HDL-C was only one cholesterol ratios that associated with all PWV parameters. sdLDL-C (OR = 2.070, 95%CI: 1.162 to 3.688, p = 0.014) and TG/HDL-C (OR = 1.355, 95%CI: 1.136 to 1.617, p = 0.001) could significantly determine the progression of PWV after correction for covariates. High sd-LDL-C quantiles subjects were more likely to develop arterial stiffness progression than low quantiles (Tertiles 3 vs Tertiles1, RR = 2.867, 95%CI: 1.106 to 7.434, p = 0.03).

conclusionWe founded that sdLDL-C and TG/HDL-C ratio can independently predict arterial stiffness progression in normotensive subjects, and high level sdLDL-C and TG/HDL-C ratio were associated with a higher risk of arterial stiffness.

Indexed as

Vascular StiffnessAdultCardiovascular DiseasesCarotid ArteriesCholesterolCholesterol, HDLCholesterol, LDLFemaleHumansMaleMiddle AgedPulse Wave AnalysisRisk FactorsTriglyceridesCholesterolCholesterol, HDLCholesterol, LDLTriglyceridesArterial stiffnessCholesterol ratiosNormotensivesdLDL-C

Identifiers

PMID29433526
PMCPMC5810050

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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.