Evidence map›Paper›PMID 42175474›Full record

ArticleMedicine2026

Epidemiological characteristics of serum small dense low-density lipoprotein cholesterol: From 2017 to 2019 in Chengdu adults, China.

Jing Li, Zhaoji Lv, Enping He, Huanhuan Wang, Liping Wu, Yi Wei, Hui Quan, Shaocheng Zhang

Abstract read
In one paragraph

Article in Medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Jing LiDepartment of Laboratory Medicine, The Second Affiliated Hospital of Chengdu Medical College, Nuclear Industry 416 Hospital, Chengdu, Sichuan, China.
Zhaoji LvDepartment of Laboratory Medicine, The Second Affiliated Hospital of Chengdu Medical College, Nuclear Industry 416 Hospital, Chengdu, Sichuan, China.
Enping HeDepartment of Laboratory Medicine, The Second Affiliated Hospital of Chengdu Medical College, Nuclear Industry 416 Hospital, Chengdu, Sichuan, China.
Huanhuan WangSchool of Laboratory Medicine, Chengdu Medical College, Chengdu, Sichuan, China.
Liping WuDepartment of Laboratory Medicine, The Second Affiliated Hospital of Chengdu Medical College, Nuclear Industry 416 Hospital, Chengdu, Sichuan, China.
Yi WeiDepartment of Laboratory Medicine, The Second Affiliated Hospital of Chengdu Medical College, Nuclear Industry 416 Hospital, Chengdu, Sichuan, China.
Hui QuanDepartment of Laboratory Medicine, The Second Affiliated Hospital of Chengdu Medical College, Nuclear Industry 416 Hospital, Chengdu, Sichuan, China.
Shaocheng ZhangDepartment of Laboratory Medicine, The Second Affiliated Hospital of Chengdu Medical College, Nuclear Industry 416 Hospital, Chengdu, Sichuan, China.ORCID 0000-0003-3620-1616

Funding

Chengdu Medical Research Project of Chengdu Health Commission, China 2025588the Clinical Science Research Project of Chengdu Medical College, China 24LHBBYY1-03the Special Scientific Research Foundation of Chengdu Medical College, China FYZX17016the Special Scientific Research Project of Sichuan Medical Association, China 2024HR21
6 · The paper itself

Abstract

Small dense low-density lipoprotein cholesterol is a better indicator in monitoring atherosclerotic cardiovascular disease. This study was designed to explore the distribution patterns of small dense low-density lipoprotein cholesterol (SdLDL-C), SdLDL-C/(low-density lipoprotein cholesterol [LDL-C]; SLR), SdLDL-C/(high-density lipoprotein cholesterol [HDL-C]; SHR), and SdLDL-C/(apolipoprotein B; SBR) in adults in Chengdu, China. The retrospective study enrolled 1549 adults (aged 20-69 years) in Chengdu, China from 2017 to 2019. The subjects were first divided into 5 age groups to evaluated the distribution patterns of SdLDL-C, SLR, SHR, and SBR in adults in Chengdu, China, then divided into normal and dyslipidemia groups to compare the differences, and multiple lipid parameters were quantitatively analyzed the differences further. Finally, we had evaluated the correlations among SdLDL-C, SLR, SHR, and SBR and other lipids. The median concentrations of serum SdLDL-C, SLR, SHR, and SBR were 0.71 mmol/L, 0.29, 0.54, and 0.83, respectively, in adults in Chengdu, China. The levels of serum SdLDL-C, SLR, SHR, and SBR increased with age. Men had higher levels of SdLDL-C, SLR, SHR, and SBR than women. The dyslipidemia group had higher levels of SdLDL-C, SLR, SHR, and SBR than the normal group. And in the subgroups of dyslipidemia, the differences in SdLDL-C, SLR, SHR, and SBR among subgroups were statistically meaningful. SdLDL-C, SLR, SHR, and SBR were positively correlated with total cholesterol, triglycerides, LDL-C, apolipoprotein B, and non-high-density lipoprotein cholesterol, whereas inverse correlations were observed with HDL-C and apolipoprotein A1. Our study showed the distribution characteristics of serum SdLDL-C, SLR, SHR, and SBR in adults in Chengdu, China, which contributed to the growing body of evidence supporting the incorporation of advanced lipid markers into cardiovascular risk assessment frameworks, particularly for Chinese populations with unique metabolic characteristics.

Indexed as

Cholesterol, LDLDyslipidemiasAdultAgedApolipoproteins BChinaCholesterol, HDLFemaleHumansMaleMiddle AgedRetrospective StudiesYoung AdultApolipoproteins BCholesterol, HDLCholesterol, LDLatherosclerotic cardiovascular diseasecardiovascular diseasedyslipidemiasmall dense low-density lipoprotein cholesterol

Identifiers

PMID42175474
PMCPMC13201054

What Socratic holds

Textmetadata
LicenceCC BY-NC
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 Socratic graph.