Evidence map›Paper›PMID 35651907›Full record

ArticleFrontiers in cardiovascular medicine2022

Serum Cytokines Predict the Severity of Coronary Artery Disease Without Acute Myocardial Infarction.

Sheng Liu, Chenyang Wang, Jinzhu Guo, Yunxiao Yang, Mengling Huang, Li Li, Yu Wang, Yanwen Qin, Ming Zhang

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 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
2.0field-weighted citation impact, top 13% 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

21 citing papers in PubMed, 1 synthesis or guideline pooled it, 26 citations in OpenAlex.

  1. Pooled it
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  3. Oxidized LDL Induces Pro-Inflammatory Transcriptomic and Epigenomic Responses in Human CD4FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2026
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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.

Sheng LiuCenter for Coronary Heart Disease, Beijing Anzhen Hospital, Capital Medical University, Beijing, China.
Chenyang WangCenter for Coronary Heart Disease, Beijing Anzhen Hospital, Capital Medical University, Beijing, China.
Jinzhu GuoDepartment of Cardiology, Baotou Jiuyuan District Hospital, Baotou, China.
Yunxiao YangSurgical Center of Structural Heart Disease, Beijing Anzhen Hospital, Capital Medical University, Beijing, China.
Mengling HuangCenter for Coronary Heart Disease, Beijing Anzhen Hospital, Capital Medical University, Beijing, China.
Li LiLiver Research Center, Beijing Friendship Hospital, Capital Medical University, Beijing, China.
Yu WangKey Laboratory of Upper Airway Dysfunction-related Cardiovascular Diseases, Beijing Institute of Heart, Lung and Blood Vessel Disease, Beijing Anzhen Hospital, Capital Medical University, Beijing, China.
Yanwen QinKey Laboratory of Upper Airway Dysfunction-related Cardiovascular Diseases, Beijing Institute of Heart, Lung and Blood Vessel Disease, Beijing Anzhen Hospital, Capital Medical University, Beijing, China.
Ming ZhangCenter for Coronary Heart Disease, Beijing Anzhen Hospital, Capital Medical University, Beijing, China.
Capital Medical University · CNBeijing Anzhen Hospital · CNBaotou Central Hospital · CNBeijing Friendship Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Various cytokines were involved in the process of atherosclerosis, and their serum levels were correlated with coronary artery disease (CAD) to varying degrees. However, there were limited reports about the correlation between serum cytokines and the severity of coronary atherosclerotic lesion in patients with non-acute myocardial infarction (AMI). The purpose of this study was to investigate the relationship between serum cytokines and the severity of CAD, and identify the predictors of severe CAD in patients suspected to have CAD but AMI had been ruled out. Methods: A total of 502 patients who had suspected CAD and underwent coronary angiography were enrolled. The serum levels of IL-1β, IL-2, IL-4, IL-5, IL-6, IL-8, IL-10, IL-12p70, IL-17, TNF-α, IFN-α,and IFN-γ were determined by multiplexed particle-based flow cytometric assays technology. And the severity of CAD was evaluated by Gensini score (GS). Results: The serum levels of IL-4, IL-12p70, IL-17, and IFN-α were significantly lower in the severe CAD group (GS≥30) than those in the non-severe CAD group (GS < 30). And IL-12p70 and IL-17 were negatively correlated with the severity of CAD. Multivariate logistic regression analyses demonstrated that two serum cytokines (IL-12p70 and IL-17), one clinical protective factor (HDL-C), and two clinical risk factors (gender and diabetes) were the independent predictors of severe CAD. ROC curve analysis showed that multivariate mode combined these predictors had a good performance in predicting severe CAD. Conclusion: The combination of serum cytokines (IL-12p70 and IL-17) and clinical risk factors (HDL-C, gender, and diabetes) may help identify patients with more severe coronary artery lesions from those with suspected CAD but not AMI, and may contribute to guiding the risk stratification for patients with chest discomfort in health care facilities without sufficient medical resources (especially cardiac catheterization resources).

Indexed as

coronary artery diseasecytokineshigh-density lipoprotein cholesterol (HDL-C)interleukin-12 (IL-12)interleukin-17 (IL-17)

Identifiers

PMID35651907
PMCPMC9149173
OpenAlexW4280592653

What OpenQuestion holds

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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.