Evidence map›Paper›PMID 35021272›Full record

ArticleJournal of clinical neurology (Seoul, Korea)2022

Combination of High-Density Lipoprotein Cholesterol and Lipoprotein(a) as a Predictor of Collateral Circulation in Patients With Severe Unilateral Internal Carotid Artery Stenosis or Occlusion.

Shuyin Ma, Meijuan Zhang, Huiyang Qu, Yuxuan Cheng, Shuang Du, Jiaxin Fan, Qingling Yao, Xiaodong Zhang, Mengying Chen, Nan Zhang and 3 more

Open access · diamondAbstract read
In one paragraph

Article in Journal of clinical neurology (Seoul, Korea), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 45% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. 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

13 authors at 1 institution in 1 country.

Shuyin MaDepartment of Neurology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.ORCID https://orcid.org/0000-0003-4470-4926
Meijuan ZhangDepartment of Neurology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.ORCID https://orcid.org/0000-0002-0161-080X
Huiyang QuDepartment of Neurology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.ORCID https://orcid.org/0000-0003-4455-8324
Yuxuan ChengDepartment of Neurology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.ORCID https://orcid.org/0000-0002-8653-8818
Shuang DuDepartment of Neurology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.ORCID https://orcid.org/0000-0001-8047-7199
Jiaxin FanDepartment of Neurology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.ORCID https://orcid.org/0000-0002-2883-9946
Qingling YaoDepartment of Neurology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.ORCID https://orcid.org/0000-0002-8026-801X
Xiaodong ZhangDepartment of Neurology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.ORCID https://orcid.org/0000-0002-9254-4624
Mengying ChenDepartment of Neurology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.ORCID https://orcid.org/0000-0001-6856-2921
Nan ZhangDepartment of Neurology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.ORCID https://orcid.org/0000-0003-2066-7294
Kaili ShiDepartment of Neurology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.ORCID https://orcid.org/0000-0002-4698-459X
Yizhou HuangDepartment of Neurology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.ORCID https://orcid.org/0000-0002-2131-8179
Shuqin ZhanDepartment of Neurology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China. sqzhan@mail.xjtu.edu.cn.ORCID https://orcid.org/0000-0002-2036-4392
Second Affiliated Hospital of Xi'an Jiaotong University · CN

Funding

Foundation of Second Affiliated Hospital of Xi'an Jiaotong University RC (GG) 201109Foundation of Shaanxi Social Development and Technology 2016SF-020Fundamental Research Funds for the Central Universities 2009-95Fundamental Research Funds for the Central Universities xjj2014153National Natural Science Foundation of China 81070999The Second Affiliated Hospital of Xi'an Jiaotong University 2010-22The Second Affiliated Hospital of Xi'an Jiaotong University 2018-16The Second Affiliated Hospital of Xi'an Jiaotong University 2019-32Xi'an University of Science and Technology 2019114613YX001SF039(2)
6 · The paper itself

Abstract

background and purposeCollateral circulation is considered an important factor affecting the risk of stroke, but the factors that affect collateral circulation remain unclear. This study was performed to identify the factors associated with collateral circulation, especially blood lipids.

methodsThe study involved patients who had undergone digital subtraction angiography and were confirmed as having severe unilateral stenosis or occlusion of the internal carotid artery (ICA). We classified the collateral circulation status of each patient as good (Grade 3 or 4) or poor (Grade 0, 1, or 2) according to the grading system of the American Society of Interventional and Therapeutic Neuroradiology/American Society of Interventional Radiology. We collected data on patients' characteristics and identified the factors that affect collateral circulation.

resultsThis study included 212 patients. The multivariate logistic regression analysis showed that the high-density lipoprotein cholesterol (HDL-C) concentration and a complete anterior half of the circle of Willis were independent protective factors for good collateral circulation, whereas elevated lipoprotein(a) [Lp(a)] and serum creatinine concentrations were independent risk factors for good collateral circulation. The area under the receiver operating characteristics curve (AUC) was 0.68 (95% confidence interval [CI], 0.61-0.76) for HDL-C and 0.69 (95% CI, 0.62-0.76) for Lp(a). A binary logistic regression model analysis of the joint factor of HDL-C and Lp(a) yielded an AUC of 0.77 (95% CI, 0.71-0.84).

conclusionsIn patients with severe unilateral ICA stenosis or occlusion, the combination of HDL-C and Lp(a) is a useful predictor of collateral circulation.

Indexed as

cerebrovascular occlusioncollateral circulationhigh-density lipoprotein cholesterolinternal carotid artery stenosislipoprotein(a)

Identifiers

PMID35021272
PMCPMC8762497
OpenAlexW4206731555

What OpenQuestion holds

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LicenceCC BY-NC
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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 OpenQuestion graph.