Evidence map›Paper›PMID 36709301›Full record

Observational studyLipids in health and disease2023

The predictive value of nontraditional lipid parameters for intracranial and extracranial atherosclerotic stenosis: a hospital-based observational study in China.

Shun Yu, Lihong Yan, Junwei Yan, Xiaozhi Sun, Meixia Fan, Huanhuan Liu, Yongxin Li, Mingjin Guo

Erratum issuedOpen access · goldAbstract readObservational Study
In one paragraph

Observational study in Lipids in health and disease, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed
11.1field-weighted citation impact, top 1% of its field
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

35 citing papers in PubMed, 43 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 2 institutions in 1 country.

Shun Yu *Department of Vascular Surgery, Affiliated Hospital of Qingdao University, Qingdao, Shandong, China.
Lihong Yan *Office of Hospital Director, Affiliated Hospital of Qingdao University, Qingdao, Shandong, China.
Junwei YanDepartment of Vascular Surgery, Affiliated Hospital of Qingdao University, Qingdao, Shandong, China.
Xiaozhi SunDepartment of Vascular Surgery, Affiliated Hospital of Qingdao University, Qingdao, Shandong, China.
Meixia FanDepartment of Vascular Surgery, Affiliated Hospital of Qingdao University, Qingdao, Shandong, China.
Huanhuan LiuDepartment of Vascular Surgery, Affiliated Hospital of Qingdao University, Qingdao, Shandong, China.
Yongxin LiDepartment of Vascular Surgery, Affiliated Hospital of Qingdao University, Qingdao, Shandong, China. li.yongxin@outlook.com.
Mingjin GuoDepartment of Vascular Surgery, Affiliated Hospital of Qingdao University, Qingdao, Shandong, China. qduahvasc@163.com.
Affiliated Hospital of Qingdao University · CNQingdao University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIschemic strokes are primarily caused by intracranial and extracranial atherosclerotic stenosis. Nontraditional lipid parameters broaden traditional lipid profiles, better reflect the metabolism and interaction between different lipid components, and optimize the predictive ability of lipid profiles for atherosclerotic diseases. This research was carried out to investigate the predictive value of nontraditional lipid parameters for intracranial or extracranial atherosclerotic stenosis.

methodsThe investigation collected data from inpatients who underwent cervical vascular ultrasonography, carotid CTA, cerebral artery CTA or MRA, and brain MRI or CT from December 2014 to December 2021. The nontraditional lipid parameters were calculated by collecting traditional lipid parameters. To evaluate the predictive power of nontraditional lipid parameters, logistic regression and receiver operating characteristic curve (ROC) analyses were performed.

resultsBased on the inclusion and exclusion criteria, 545 patients were included. According to the imaging results, inpatients were divided into two groups, including no intracranial or extracranial atherosclerotic stenosis (n = 250) and intracranial or extracranial atherosclerotic stenosis (AS, n = 295). Among them, AS was further divided into three subgroups: intracranial atherosclerotic stenosis (ICAS), extracranial atherosclerotic stenosis (ECAS) and combined intracranial and extracranial atherosclerotic stenosis (IECAS). Logistic regression analysis showed that nontraditional lipid parameters, including the atherogenic index of plasma (AIP), TG/HDL-C, remnant cholesterol (RC), nonhigh-density lipoprotein cholesterol (non-HDL-C), lipoprotein combine index (LCI), atherogenic coefficient (AC), Castelli's index-I (CRI-I) and Castelli's index-II (CRI-II), were significantly correlated with intracranial or extracranial atherosclerotic stenosis (P < 0.05). Compared with other nontraditional lipid parameters, regardless of adjusting for potential confounding factors, AIP had a greater OR value in ICAS (OR = 4.226, 95% CI: 1.681-10.625), ECAS (OR = 2.993, 95% CI: 1.119-8.003) and IECAS (OR = 4.502, 95% CI: 1.613-12.561). ROC curve analysis revealed that nontraditional lipid parameters had good predictive power for intracranial or extracranial atherosclerotic stenosis.

conclusionsThis Chinese hospital-based study demonstrates that nontraditional lipid parameters (AIP, LCI, RC, CRI-II, AC, CRI-I and non-HDL-C) are effective predictors of intracranial and extracranial atherosclerotic stenosis, of which AIP may be a significant risk factor for predicting atherosclerotic arterial stenosis in the intracranial or extracranial regions.

Indexed as

AtherosclerosisChinaConstriction, PathologicHumansLipidsRisk FactorsLipidsAtherogenic index of plasmaAtherosclerosisExtracranial atherosclerotic stenosisIntracranial atherosclerotic stenosisIschemic strokeLipoprotein combine indexRemnant cholesterol

Identifiers

PMID36709301
PMCPMC9883878
OpenAlexW4318408272

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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 OpenQuestion graph.