Evidence mapPaperPMID 42260880Full record

ArticleMedicine2026

The association of nontraditional lipid parameters with all-cause and cardiovascular mortality: A national cohort study.

Zhimin Zhang, Sibo Han, Peilin Li, Baoyi Guan, Guanghong Chen, Jinxuan Wei, Qingmin Chu, Xinjun Zhao, Jun Li, Rong Li

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

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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

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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

10 authors.

Zhimin ZhangThe First Clinical Medical College, Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, China.ORCID 0009-0004-3030-1856
Sibo HanThe Second Clinical Medical College, Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, China.
Peilin LiThe First Clinical Medical College, Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, China.
Baoyi GuanDepartment of Cardiovascular Medicine, The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, China.
Guanghong ChenDepartment of Cardiovascular Medicine, The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, China.
Jinxuan WeiThe First Clinical Medical College, Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, China.
Qingmin ChuDepartment of Cardiovascular Medicine, The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, China.
Xinjun ZhaoDepartment of Cardiovascular Medicine, The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, China.
Jun LiDepartment of Cardiovascular Medicine, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China.
Rong LiDepartment of Cardiovascular Medicine, The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, China.

Funding

Guangzhou University of Chinese Medicine's “Ranking and Leading†Project for Research on Basic Theories of Traditional Chinese Medicine A1-2606-23-415-110Z15the “National Key R&D Program of China†2022YFC3500103the Clinical Research Fund of Guangdong Medical Association A202301024the National Natural Science Foundation of China 82405253the National Traditional Chinese Medical Inheritage and Innovation Center research key project 2023ZD08the Natural Science Foundation of Guangdong Province, China 2023A1515220033the Noncommunicable Chronic Diseases-National Science and Technology Major Project 2023ZD0502603
6 · The paper itself

Abstract

Nontraditional lipid parameters are increasingly recognized for clinical evaluation, yet their comparative ability to predict mortality risk in the general population remains ambiguous. This study aims to systematically explore the associations between 7 nontraditional lipid parameters and all-cause as well as cardiovascular mortality. This study analyzed data from the National Health and Nutrition Examination Survey database spanning the period from 1999 to 2018, which included 19,710 participants. The participants in this study were classified into 2 distinct categories: survivors (n = 16,364) and non-survivors (n = 3346). The study investigated the relationships between nontraditional lipid parameters and both all-cause and cardiovascular mortality. Cox proportional hazards regression models were utilized to evaluate the associations, supplemented by restricted cubic splines, receiver operating characteristic curves, as well as subgroup, interaction, and sensitivity analyses. Elevated levels of the atherogenic index of plasma and remnant cholesterol were associated with all-cause and cardiovascular mortality in unadjusted analyses, with risk rising progressively as levels increased. These associations were most pronounced in individuals under 65 years but were attenuated after adjustment for potential risk factors. Receiver operating characteristic curve analysis indicated that both parameters exhibited modest predictive capabilities, though their clinical significance requires further investigation. This study suggests that both the atherogenic index of plasma and remnant cholesterol are associated with all-cause and cardiovascular mortality in individuals under 65 years, exhibiting a dose-response relationship. Integrating these readily accessible parameters into age-specific risk stratification may be considered for exploratory purposes, but further validation is required before any clinical application. Future prospective studies are warranted to establish causality and evaluate targeted interventions based on these findings.

Indexed as

Cardiovascular DiseasesLipidsAdultAgedCause of DeathCholesterolCohort StudiesFemaleHumansMaleMiddle AgedNutrition SurveysProportional Hazards ModelsRisk FactorsROC CurveTriglyceridesCholesterolLipidsTriglyceridesall-cause mortalitycardiovascular mortalityNHANESnontraditional lipid parameters

Identifiers

PMID42260880
PMCPMC13246068

What Socratic holds

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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 Socratic graph.