Evidence map›Paper›PMID 31966745›Full record

ArticleInternational journal of clinical and experimental pathology2017

Utility of genetic variants to predict prognosis in coronary artery disease patients receiving statin treatment.

Li Zhu, Xiaoli Ji, Lin Jiang, Yabin Zhu, Yumin Xu, Qinxiao Jiang, Jingjing Bao, Jun Ye, Haihui Sheng, Hong Yu

Open access · greenAbstract read
In one paragraph

Article in International journal of clinical and experimental pathology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact, top 63% 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

4 citing papers in PubMed, 3 citations in OpenAlex.

  1. Role of Hyperlipidemia-RelatedMolecular syndromology · 2026
    Article
  2. Cholesterol 7 alpha-hydroxylase (Biomolecules & biomedicine · 2025
    Article
  3. Article
  4. Associations of theBiomedicines · 2024
    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

10 authors at 2 institutions in 1 country.

Li ZhuInstitute of Cardiovascular Diseases, Taizhou People's Hospital Taizhou, Jiangsu, China.
Xiaoli JiDepartment of Anesthesiology, Taizhou People's Hospital Taizhou, Jiangsu, China.
Lin JiangDepartment of Anesthesiology, Taizhou People's Hospital Taizhou, Jiangsu, China.
Yabin ZhuDepartment of Anesthesiology, Taizhou People's Hospital Taizhou, Jiangsu, China.
Yumin XuDepartment of Anesthesiology, Taizhou People's Hospital Taizhou, Jiangsu, China.
Qinxiao JiangThe Center of Translational Medicine, Taizhou People's Hospital Taizhou, Jiangsu, China.
Jingjing BaoThe Center of Translational Medicine, Taizhou People's Hospital Taizhou, Jiangsu, China.
Jun YeThe Center of Translational Medicine, Taizhou People's Hospital Taizhou, Jiangsu, China.
Haihui ShengShanghai Engineering Center for Molecular Medicine, National Engineering Center for Biochip at Shanghai Shanghai, China.
Hong YuThe Center of Translational Medicine, Taizhou People's Hospital Taizhou, Jiangsu, China.
Nantong University · CNNational Engineering Research Center for Nanotechnology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Statins are widely used drugs for lowering low-density lipoprotein cholesterol (LDL-C) and can prevent cardiovascular events. This study aimed to evaluate the influence of single nucleotide polymorphisms (SNPs) and their cumulative effects on the prognosis of coronary artery disease (CAD) patients treated with statins. Sixteen SNPs were genotyped in 785 CAD patients receiving statin therapy, and their associations with clinical features and prognosis of patients were investigated. Four SNPs (rs2296651, rs11206510, rs8192870, and rs1801133) were significantly associated with complications of CAD (

Indexed as

coronary artery diseasemajor cardiovascular eventprognosisStatin

Identifiers

PMID31966745
PMCPMC6965393
OpenAlexW3007402910

What OpenQuestion holds

Textmetadata
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.