Evidence map›Paper›PMID 36601065›Full record

ArticleFrontiers in cardiovascular medicine2022

Ruozhu Dai, Xiaoyu Zhao, Huilin Zhuo, Wei Wang, Yue Xu, Zixin Hu, Tiexu Zhang, Jiangman Zhao

Open access · goldAbstract read
In one paragraph

Article in Frontiers in cardiovascular medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.5field-weighted citation impact, top 17% 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

5 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
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  4. Impact ofInternational journal of molecular sciences · 2024
    Article
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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

8 authors at 3 institutions in 1 country.

Ruozhu DaiDepartment of Cardiology, Quanzhou First Hospital Afliated to Fujian Medical University, Quanzhou, Fujian, China.
Xiaoyu ZhaoShanghai Biotecan Pharmaceuticals Co., Ltd., Shanghai Zhangjiang Institute of Medical Innovation, Shanghai, China.
Huilin ZhuoDepartment of Cardiology, Quanzhou First Hospital Afliated to Fujian Medical University, Quanzhou, Fujian, China.
Wei WangDepartment of Cardiology, Quanzhou First Hospital Afliated to Fujian Medical University, Quanzhou, Fujian, China.
Yue XuShanghai Biotecan Pharmaceuticals Co., Ltd., Shanghai Zhangjiang Institute of Medical Innovation, Shanghai, China.
Zixin HuShanghai Biotecan Pharmaceuticals Co., Ltd., Shanghai Zhangjiang Institute of Medical Innovation, Shanghai, China.
Tiexu ZhangDepartment of Cardiovascular Medicine, The First People's Hospital of Pingdingshan, Pingdingshan, Henan, China.
Jiangman ZhaoShanghai Biotecan Pharmaceuticals Co., Ltd., Shanghai Zhangjiang Institute of Medical Innovation, Shanghai, China.
Shanghai Innovative Research Center of Traditional Chinese Medicine · CNFujian Medical University · CNPingdingshan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Dyslipidemia is a major cause of arteriosclerotic cardiovascular disease (ASCVD), and low-density lipoprotein cholesterol (LDL-C) is the profile to be reduced to prevent disease progression. Small dense low-density lipoprotein cholesterol (sdLDL-C) has been proven to be a more effective biomarker than LDL-C for ASCVD primary and secondary prevention. Methods: This study recruited 182 patients with CAD and 200 non-CAD controls. Baseline laboratory indices of fasting blood were detected, including blood lipids, glucose, and creatinine. In addition, LDL-C subfractions were separated and quantified. Gene polymorphisms of Results: Total cholesterol, LDL-C, LDLC-2, LDLC-3, LDLC-4, LDLC-5, LDLC-6, LDLC-7, and sdLDL-C levels of patients with CAD were significantly higher than those in non-CAD controls. Meanwhile, sdLDL-C (AUC = 0.838) and LDLC-4 (AUC = 0.835) performed outstandingly in distinguishing patients with CAD from controls. Based on Conclusion: sdLDL-C and LDLC-4 outperformed other blood lipids such as LDL-C for CAD risk screening.

Indexed as

coronary artery diseaseCYP2C19genetic polymorphismspharmacogenomicssdLDL-C

Identifiers

PMID36601065
PMCPMC9806256
OpenAlexW4313389518

What Socratic 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 Socratic graph.