Evidence map›Paper›PMID 28335787›Full record

ArticleLipids in health and disease2017

Risk factors of atherosclerotic tissue types in single-vessel and intermediate coronary lesions: a cross-sectional study.

Xianjin Wang, Qun Chen, Yu Xu, Yanqing Wang, Yang Yang, Ming Gu, Haihua Xu, Yanfang Zhao

Open access · goldAbstract read
In one paragraph

Article in Lipids in health and disease, 2017. 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
0.5field-weighted citation impact, top 33% 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, 3 citations in OpenAlex.

  1. Article
  2. Observational
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 2 institutions in 1 country.

Xianjin WangDepartment of Cardiology, the Eighty-first Hospital of PLA Affiliated with Anhui Medical University, No. 34, Biao 34, Yanggongjing, Qinhuai District, Nanjing, Jiangsu, 210000, China.
Qun ChenDepartment of Cardiology, the Eighty-first Hospital of PLA Affiliated with the Nanjing University of Chinese Medicine, Nanjing, China.
Yu XuDepartment of Cardiology, the Eighty-first Hospital of PLA Affiliated with the Nanjing University of Chinese Medicine, Nanjing, China.
Yanqing WangDepartment of Cardiology, the Eighty-first Hospital of PLA Affiliated with the Nanjing University of Chinese Medicine, Nanjing, China.
Yang YangDepartment of Cardiology, the Eighty-first Hospital of PLA Affiliated with the Nanjing University of Chinese Medicine, Nanjing, China.
Ming GuDepartment of Cardiology, the Eighty-first Hospital of PLA Affiliated with the Nanjing University of Chinese Medicine, Nanjing, China.
Haihua XuDepartment of Cardiology, the Eighty-first Hospital of PLA Affiliated with the Nanjing University of Chinese Medicine, Nanjing, China.
Yanfang ZhaoDepartment of Cardiology, the Eighty-first Hospital of PLA Affiliated with Anhui Medical University, No. 34, Biao 34, Yanggongjing, Qinhuai District, Nanjing, Jiangsu, 210000, China. yanfangz@sina.com.ORCID http://orcid.org/0000-0003-0849-3789
Nanjing University of Chinese Medicine · CNAnhui Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFew data exist that correlate lesion-related risk factors such as conventional cardiovascular risks or lipoprotein-associated phospholipase A2 (Lp-PLA2) with tissue types within atherosclerotic plaques in patients with single-vessel and intermediate coronary lesions.

methodsOne hundred and ninety-two patients with single-vessel and intermediate coronary lesions were enrolled in a cross-sectional study and divided into two groups: stable angina pectoris (SAP) and acute coronary syndrome (ACS) groups. Data regarding clinical characteristics and Lp-PLA2 mass were collected. Using iMAP-IVUS, lumen areas were manually traced to determine the minimum lumen area (MLA) at 1-mm intervals in diseased segments. At the minimum lumen lesion, areas of different types of atherosclerotic tissue [i.e., areas of fibrous plaque tissue (FP), fibro-fatty tissue (FF), dense calcium (DC) and necrotic core (NC)], vascular external elastic membrane (EEMCSA) and plaque and media (P&MCSA) were calculated using the built-in iMap algorithm. Plaque burden was computed as P&MCSA divided by EEMCSA.

resultsIn a univariate analysis, glycosylated hemoglobin A1C (GHbA1C), low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C), hypertension, Lp-PLA2 and a history of taking statins predicted the degree of FP and NC area, as well as plaque burden, but were not significant predictors of FF or DC area. In a multivariate analysis, Lp-PLA2 and HbA1c remained independent predictors of plaque burden, FP and NC area. However, the results of the regression analyses were not identical when the SAP and ACS groups were analyzed separately. Lp-PLA2, diabetes and NC area were significant predictors of acute coronary lesions, and the predictive value of Lp-PLA2 was confirmed by the finding of a high area-under-the-curve in a ROC analysis (0.837, 95% CI:0.778-0.895, P = 0.000), as well as by the reasonable sensitivity and specificity of cut-off values.

conclusionsGHbA1C and Lp-PLA2 were strong independent predictors of plaque burden and FP and NC area at the minimum lumen lesion in patients with single-vessel and intermediate coronary lesions. Furthermore, Lp-PLA2 has a certain predictive value for acute coronary lesions.

Indexed as

Acute Coronary SyndromeAgedAtherosclerosisCholesterolCoronary Artery DiseaseCross-Sectional StudiesDiabetes MellitusFemaleHumansMaleMiddle AgedPlaque, AtheroscleroticRisk FactorsROC CurveCholesterolArteriosclerosisLipoprotein-associated phospholipase A2Ultrasonics

Identifiers

PMID28335787
PMCPMC5364583
OpenAlexW2600082108

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.