Evidence map›Paper›PMID 40065380›Full record

ArticleBMC endocrine disorders2025

Association of estimated small dense low-density lipoprotein cholesterol with diabetes mellitus: a large-scale multicenter retrospective cohort study.

Yingkai Gao

Abstract readMulticenter Study
In one paragraph

Article in BMC endocrine disorders, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

1 author.

Yingkai GaoThe First Hospital of Jilin University, 1 Xinmin Street, Changchun, Jilin, 130021, China. gaoyk8221@mails.jlu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEstimated small dense low-density lipoprotein cholesterol (sdLDL-C) was related to atherosclerosis, coronary heart disease and metabolic syndrome. Despite these findings, limited evidence is available on the relationship between sdLDL-C levels and the onset of diabetes mellitus (DM).

methodsThe study analyzed data from 118,080 adults enrolled at the Rich Healthcare Group between 2010 and 2016. The relationship between sdLDL-C levels and the risk of DM was examined using Cox proportional hazards regression. In order to evaluate potential nonlinear associations, cubic spline functions and smooth curve fitting were incorporated into the Cox regression framework. Furthermore, a two-piecewise Cox proportional hazards regression was employed to pinpoint the inflection point of sdLDL-C regarding DM risk.

resultsSdLDL-C was found to have a significant correlation with DM risk after controlling for confounders (HR: 1.04, 95% CI: 1.03-1.04, P < 0.0001). The inflection point for sdLDL-C was calculated to be 29.49 mg/dL. The HR was measured at 1.08 (95% CI: 1.06-1.10) when sdLDL-C was below 29.49 mg/dL, and it decreased to 1.03 (95% CI: 1.03-1.04) when above 29.49 mg/dL.

conclusionThis investigation reveals a nonlinear positive connection between sdLDL-C levels and the risk of developing DM in Chinese adults. Notably, sdLDL-C levels lower than 29.49 mg/dL were strongly associated with a greater risk of DM. CLINICAL TRIAL NUMBER: not applicable.

Indexed as

BiomarkersCholesterol, LDLDiabetes MellitusAdultAgedFemaleFollow-Up StudiesHumansMaleMiddle AgedPrognosisRetrospective StudiesRisk FactorsBiomarkersCholesterol, LDLDiabetes mellitusNon-linearitySmall dense low-density lipoprotein cholesterol

Identifiers

PMID40065380
PMCPMC11895197

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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.