Evidence map›Paper›PMID 28836572›Full record

ArticleChinese medical journal2017

Elevated Levels of Very Low-density Lipoprotein Cholesterol Independently Associated with In-stent Restenosis in Diabetic Patients after Drug-eluting Stent Implantation.

Zheng Qin, Fang-Wu Zheng, Chuang Zeng, Kuo Zhou, Yu Geng, Jian-Long Wang, Yue-Ping Li, Qing-Wei Ji, Yu-Jie Zhou

Open access · goldAbstract read
In one paragraph

Article in Chinese medical journal, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 2 pooled it
1.2field-weighted citation impact, top 20% 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

12 citing papers in PubMed, 2 syntheses or guidelines pooled it, 18 citations in OpenAlex.

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  6. Endothelial Cell Behavior and Nitric Oxide Production on a-C:H:SiOInternational journal of molecular sciences · 2023
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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

9 authors at 4 institutions in 1 country.

Zheng QinDepartment of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing 100029, China.
Fang-Wu ZhengDepartment of Cardiology, Yuncheng Hospital of Traditional Chinese Medicine, Yuncheng, Shandong 274700, China.
Chuang ZengDepartment of Cardiology, Yunyang Hospital of Traditional Chinese Medicine, Yunyang, Chongqing 404500, China.
Kuo ZhouDepartment of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing 100029, China.
Yu GengDepartment of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing 100029, China.
Jian-Long WangDepartment of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing 100029, China.
Yue-Ping LiDepartment of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing 100029, China.
Qing-Wei JiDepartment of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing 100029, China.
Yu-Jie ZhouDepartment of Cardiology, Beijing Anzhen Hospital, Capital Medical University; Beijing Institute of Heart Lung and Blood Vessel Disease, The Key Laboratory of Remodeling-related Cardiovascular Disease, Ministry of Education, Beijing 100029, China.
Capital Medical University · CNBeijing Anzhen Hospital · CNAnyang Hospital of Traditional Chinese Medicine · CNYuncheng University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHigh rate of in-stent restenosis (ISR) remained an unsolved clinical problem in clinical practice, especially among patients with diabetes mellitus (DM). Diabetic patients often had hypertriglyceridemia with elevated levels of very low-density lipoprotein cholesterol (VLDL-C). Increasing evidence suggested that VLDL-C was known as a significant risk factor for atherosclerosis and had been recommended as a treatment target by current dyslipidemia guidelines. However, the role of VLDL-C in the occurrence and development of ISR in coronary artery disease (CAD) patients with DM had not been studied. The aim of this study was to evaluate the association between the elevated levels of VLDL-C and the risk of ISR in CAD patients with DM.

methodsA total of 1390 diabetic patients, who underwent coronary drug-eluting stent (DES) implantation at Beijing Anzhen Hospital and followed up by angiography within 6-24 months, were consecutively enrolled. Patients' demographic and clinical characteristics, including age, gender, CAD risk factors, family history, life style, medical history, and coronary angiographic information, were collected carefully at baseline percutaneous coronary intervention and follow-up angiography. Multivariate Cox's proportional hazards regression modeling using the step-wise method (entry, 0.05; removal, 0.05) was used to determine the independent risk associated with ISR in diabetic patients.

resultsFinally, 1206 of patients were included in this study. ISR occurred in 132/1206 diabetic patients (10.9%) by follow-up angiography. Patients with ISR had elevated median serum VLDL-C levels compared with those without ISR (0.65 mmol/L vs. 0.52 mmol/L, P = 0.030). The multivariate regression analysis showed that VLDL-C was significantly associated with the risk of ISR in diabetic CAD patients (hazard ratio [HR] = 1.15, 95% confidence interval [CI]: 1.03-1.29, P = 0.017). The HR for the risk of ISR associated with VLDL-C level ≥0.52 mmol/L was 3.01 (95% CI: 1.24-7.34, P = 0.015).

conclusionThe elevated level of serum VLDL-C was a significant and independent risk factor for ISR in diabetic CAD patients after coronary DES implantation.

Indexed as

Drug-Eluting StentsAgedCholesterol, VLDLCoronary Artery DiseaseDiabetes MellitusFemaleGraft Occlusion, VascularHumansMaleMiddle AgedProportional Hazards ModelsRisk FactorsCholesterol, VLDL

Identifiers

PMID28836572
PMCPMC5634084
OpenAlexW2749996874

What OpenQuestion holds

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LicenceCC BY-NC-SA
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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.