Evidence map›Paper›PMID 41260379›Full record

ArticleJournal of advanced research2026

Non-traditional lipid-inflammatory parameters estimate the risk of stroke in middle-aged and older Chinese adults: a nationwide prospective cohort study.

Xiaxuan Huang, Cun Li, Piaorong Zeng, Yitong Ling, Shanyuan Tan, Zihong Bai, Si Shen, Shengting Chen, Biao Nie, Hao Wang and 1 more

Abstract read
In one paragraph

Article in Journal of advanced research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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

11 authors.

Xiaxuan HuangDepartment of Anesthesiology, The First Affiliated Hospital of Jinan University, Guangzhou 510630, China.
Cun LiDepartment of Gastroenterology, The First Affiliated Hospital of Jinan University, Guangzhou 510630, China.
Piaorong ZengDepartment of Hematology, The First Affiliated Hospital of Jinan University, Guangzhou 510630, China.
Yitong LingDepartment of Neurology, The First Affiliated Hospital of Jinan University, Guangzhou 510630, China.
Shanyuan TanDepartment of Neurology, The First Affiliated Hospital of Jinan University, Guangzhou 510630, China.
Zihong BaiDepartment of Neurology, The First Affiliated Hospital of Jinan University, Guangzhou 510630, China.
Si ShenMedical Imaging Center, The First Affiliated Hospital of Jinan University, Guangzhou 510630, China.
Shengting ChenDepartment of Hematology, The First Affiliated Hospital of Jinan University, Guangzhou 510630, China.
Biao NieDepartment of Gastroenterology, The First Affiliated Hospital of Jinan University, Guangzhou 510630, China. Electronic address: biaonie@jnu.edu.cn.
Hao WangDepartment of Anesthesiology, The First Affiliated Hospital of Jinan University, Guangzhou 510630, China. Electronic address: haowang@jnu.edu.cn.
Jun LyuClinical Research Center, The First Affiliated Hospital of Jinan University, Guangzhou 510630, China; Key Laboratory of Regenerative Medicine of Ministry of Education, Guangzhou 510630, China. Electronic address: lyujun2020@jnu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNon-traditional lipid parameters demonstrate cardiovascular predictive value, yet their interaction with inflammatory markers in stroke risk assessment remains understudied. This research investigated their independent and combined effects on stroke risk in a nationally representative cohort, while comparing their predictive capability with traditional lipid parameters.

methodsThe study cohort comprised 9,236 individuals aged ≥45 years, derived from the China Health and Retirement Longitudinal Study (CHARLS), with self-reported stroke as the primary outcome. Non-traditional lipid parameters were combined with High-sensitivity C-reactive protein (hs-CRP) to create lipid-inflammatory indices. Cox proportional hazards models and restricted cubic spline regression assessed stroke risk associations. Mediation analysis examined relationships between hs-CRP, lipid parameters, and stroke.

resultsDuring the 7-year follow-up, 664 participants developed stroke. The incidence of stroke increased with increasing quartiles of non-traditional lipid parameters. In fully adjusted models, participants with higher baseline and cumulative levels of non-traditional lipid parameters had the highest risk of stroke, with consistent results across non-traditional lipid inflammation parameters, especially in AIP-CRP (HR = 1.98, 95 % CI: 1.56-2.50). Non-traditional lipid inflammation parameters showed better predictive ability compared with individual parameters, and the results remained robust in subgroup and sensitivity analyses. Mediation analysis established bidirectional mediating effects between non-traditional lipid parameters, hs-CRP, and stroke risk.

conclusionsNon-traditional lipid parameters are significantly associated with increased stroke risk in middle-aged and older Chinese adults, with combined lipid-inflammatory markers demonstrating superior predictive value. These findings underscore the importance of integrating both non-traditional lipid parameters and inflammatory markers for comprehensive stroke risk assessment.

Indexed as

InflammationLipidsStrokeAgedBiomarkersChinaC-Reactive ProteinEast Asian PeopleFemaleHumansIncidenceLongitudinal StudiesMaleMiddle AgedProportional Hazards ModelsProspective StudiesBiomarkersC-Reactive ProteinLipidsCHARLSHigh sensitivity C-reactive proteinNon-traditional lipid parametersStroke

Identifiers

PMID41260379
PMCPMC13453658

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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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 Socratic graph.