Evidence mapPaperPMID 42284250Full record

SynthesisCardiology2026

Unravelling the Link between Inflammatory Biomarkers and Coronary Artery Ectasia Severity: A Systematic Review and Meta-Analysis.

Hang Zhang, Xin Chen

Abstract readSystematic Review
In one paragraph

Synthesis in Cardiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Hang ZhangDepartment of Cardiology, Tianjin First Central Hospital, Tianjin, China.
Xin ChenDepartment of Cardiology, Tianjin First Central Hospital, Tianjin, China, chenxin966@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionCoronary artery ectasia (CAE), with increasing detection, and the role of inflammation remain controversial. This meta-analysis explored correlations between multiple inflammatory markers and the occurrence and severity of CAE.

methodsPubMed, Embase, Cochrane Library, and Web of Science were searched from inception to July 2025 for relevant studies. Literature screening, data extraction, and quality assessment were performed. Meta-analysis was conducted using Review Manager 5.3, with fixed- or random-effects models based on heterogeneity; mean difference (MD), odds ratio (OR), bias risk, and sensitivity analyses were computed.

resultsFifty-three studies involving 9,168 subjects were included. Compared with the control group, patients with CAE had higher levels of high-sensitivity C-reactive protein (hs-CRP), interleukin-6 (IL-6), and tumor necrosis factor-α (TNF-α). The ratio of white blood cells (WBCs) to neutrophils in CAE patients was higher than that in coronary artery disease (CAD) and non-coronary artery (NCA) populations. Lymphocytes showed a gradient distribution of "NCA > CAE > CAD". The level of monocytes in CAE patients was higher than that in CAD patients, but similar to that in NCA patients. There was no significant correlation between the neutrophil-to-lymphocyte ratio levels of CAE patients and those of CAD patients. The levels of hs-CRP and lymphocytes in CAE patients were positively correlated with the severity of CAE. Multivariate analysis showed that hs-CRP (OR = 1.78) and WBC (OR = 1.00) were the factors related to CAE.

conclusionHs-CRP, IL-6, TNF-α, and various inflammatory cells are related to the occurrence of CAE. Hs-CRP and lymphocytes can indicate the severity of CAE.

Indexed as

Coronary artery ectasiaHigh-sensitivity C-reactive proteinInflammatory markersInjury severity scoreMeta-analysis

Identifiers

PMID42284250
PMCPMC13436928

What Socratic 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 Socratic graph.