Evidence map›Paper›PMID 40703776›Full record

ArticleFrontiers in neurology2025

Non-traditional lipid parameters are independent predictors of the location, distribution, and stroke events of moderate-to-severe intracranial and extracranial atherosclerotic stenosis.

Yin Fei Huang, Zhen Xing Liu, Kuan Cen, Ren Wei Zhang, Qiao Yuan Xiang, Qi Cai, Chun Jiao Yang, Lei Luo, Hai Long Xu, Yu Xie and 1 more

Abstract read
In one paragraph

Article in Frontiers in neurology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 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.

Yin Fei Huang *Department of Neurology, Zhongnan Hospital Affiliated to Wuhan University, Wuhan, Hubei, China.
Zhen Xing Liu *Department of Neurology, Yiling Hospital of Yichang City, Yichang, Hubei, China.
Kuan CenDepartment of Neurology, Zhongnan Hospital Affiliated to Wuhan University, Wuhan, Hubei, China.
Ren Wei ZhangDepartment of Neurology, Zhongnan Hospital Affiliated to Wuhan University, Wuhan, Hubei, China.
Qiao Yuan XiangDepartment of Neurology, Zhongnan Hospital Affiliated to Wuhan University, Wuhan, Hubei, China.
Qi CaiDepartment of Neurology, Zhongnan Hospital Affiliated to Wuhan University, Wuhan, Hubei, China.
Chun Jiao YangDepartment of Neurology, Zhongnan Hospital Affiliated to Wuhan University, Wuhan, Hubei, China.
Lei LuoDepartment of Neurology, Zhongnan Hospital Affiliated to Wuhan University, Wuhan, Hubei, China.
Hai Long XuDepartment of Neurology, Yiling Hospital of Yichang City, Yichang, Hubei, China.
Yu XieDepartment of Neurology, Zhongnan Hospital Affiliated to Wuhan University, Wuhan, Hubei, China.
Yu Min LiuDepartment of Neurology, Zhongnan Hospital Affiliated to Wuhan University, Wuhan, Hubei, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Moderate-to-severe stenosis has been identified as a significant risk factor for stroke recently. This study aims to investigate the relationship between non-traditional lipid parameters and the location and distribution of stenosis, as well as symptomatic events, in patients with moderate-to-severe intracranial atherosclerotic stenosis (ICAS) and extracranial atherosclerotic stenosis (ECAS). Methods: This study analyzed correlation between non-traditional lipid parameters and moderate-to-severe ICAS and ECAS concerning stenosis location, distribution, and the presence or absence of symptoms. Logistic models and restricted spline analysis were utilized to explore the relationship between Castelli's risk index-II (CRI-II) and the occurrence of stroke events. Results: The present study comprised 1,030 participants, of whom 143 were non-stenotic and 887 were patients with moderate-to-severe stenosis. The study focuses on the latter and indicated statistically significant differences in AIP, LCI, RC, AC, CRI-I, and CRI-II among the three groups of ICAS, ECAS, and combined ICAS and ECAS (

Indexed as

Castelli's risk index-IIextracranial atherosclerotic stenosisintracranial atherosclerotic stenosisnon-traditional lipid parametersstoke

Identifiers

PMID40703776
PMCPMC12283305

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