Evidence map›Paper›PMID 41760064›Full record

ArticleMedicine2026

Association of novel lipid markers with cardiovascular and cerebrovascular disease risk: A cross-sectional NHANES 1999 to 2018 study.

Limei Guan, Tonglu Su, Shilong Xin, Yu Zhang, Benyin Wang, Xiaojuan Wang, Yingli Zhang, Tao Sun

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. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

8 authors.

Limei GuanDepartment of Geriatrics, First Affiliated Hospital of Heilongjiang University of Chinese Medicine, Harbin, China.
Tonglu SuHeilongjiang University of Chinese Medicine, Harbin, China.
Shilong XinHeilongjiang University of Chinese Medicine, Harbin, China.
Yu ZhangHeilongjiang University of Chinese Medicine, Harbin, China.
Benyin WangDepartment of Geriatrics, First Affiliated Hospital of Heilongjiang University of Chinese Medicine, Harbin, China.
Xiaojuan WangDepartment of Cardiology, Harbin Red Cross Central Hospital, Harbin, China.
Yingli ZhangDepartment of Cardiology, Harbin Red Cross Central Hospital, Harbin, China.
Tao SunDepartment of Orthopedics II, Xiangfang District People's Hospital, Harbin, China.ORCID 0009-0007-2401-5361

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dyslipidemia is central to cardiovascular and cerebrovascular diseases (CCVD). This study investigates associations of novel lipid markers - NHHR (non-HDL-C/HDL-C ratio), atherogenic index of plasma (AIP), and lipid accumulation product (LAP) - with CCVD risks using National Health and Nutrition Examination Survey data, comparing their predictive performance with traditional lipid and obesity indices. Data from 18,996 adults were analyzed. Multivariable logistic regression evaluated associations of NHHR/AIP/LAP with hypertension, heart failure, coronary heart disease, angina, and stroke. Restricted cubic splines (RCSs) tested nonlinearity, receiver operating characteristic curves assessed predictive ability, and subgroup analyses examined heterogeneity. Fully adjusted models revealed significant associations of NHHR and AIP with hypertension, heart failure, coronary heart disease, angina, and stroke, while LAP showed no link to stroke. RCS indicated nonlinear NHHR-hypertension and NHHR-coronary heart disease relationships (P for nonlinear < .05). AIP exhibited nonlinear associations with hypertension and stroke, while LAP demonstrated threshold effects for hypertension, coronary heart disease, and angina. Subgroup analyses identified interactions: sex and diabetes modified NHHR-hypertension associations (P < .05); AIP-hypertension links varied by sex, education, smoking, and body mass index (BMI); LAP-hypertension associations differed by sex and BMI (P < .05). NHHR, AIP, and LAP independently predict CCVD risks, with AIP showing optimal stability, surpassing traditional markers. Prospective studies are needed to confirm causality.

Indexed as

Cardiovascular DiseasesCerebrovascular DisordersLipidsAdultAgedBiomarkersCross-Sectional StudiesDyslipidemiasFemaleHumansMaleMiddle AgedNutrition SurveysRisk FactorsBiomarkersLipidsatherogenic index of plasmacardiovascular and cerebrovascular diseasesdyslipidemialipid accumulation productnon-HDL-C/HDL-C ratio

Identifiers

PMID41760064
PMCPMC12956176

What Socratic holds

Textmetadata
LicenceCC BY
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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.