Evidence map›Paper›PMID 42489602›Full record

ArticleJACC. Advances2026

Association Between Cardiovascular Risk Factors and Pan-Coronary Plaque Burden, Phenotype, and Vulnerability: A 3-Vessel Imaging Study.

Jakub Chmiel, Stefano Andreaggi, Sekeun Kim, Iris McNulty, Hang Lee, Adrian P Banning, Krzysztof L Bryniarski, Piotr Musialek, Ik-Kyung Jang

Registry-linked trialAbstract read
In one paragraph

Article in JACC. Advances, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01110538 (The Massachusetts General Hospital Optical Coherence Tomography Registry), which is not on this 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.

NCT01110538 completednot on this map

The Massachusetts General Hospital Optical Coherence Tomography Registry

TypeobservationalSponsorIk-Kyung Jang, MD, PhDRan2010 to 2019Enrolled2,714ConditionsCoronary Artery Disease
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

9 authors.

Jakub ChmielCardiology Division, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA; Department of Cardiac and Vascular Diseases, Institute of Cardiology, Jagiellonian University Medical College, Krakow, Poland.
Stefano AndreaggiCardiology Division, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA.
Sekeun KimCardiology Division, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA.
Iris McNultyCardiology Division, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA.
Hang LeeBiostatistics Center, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA.
Adrian P BanningOxford University Hospitals NHS Foundation Trust, John Radcliffe Hospital, Oxford, United Kingdom; Acute Multidisciplinary Imaging & Interventional Centre (AMIIC), Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, United Kingdom.
Krzysztof L BryniarskiDepartment of Interventional Cardiology, Institute of Cardiology, Jagiellonian University Medical College, Krakow, Poland.
Piotr MusialekDepartment of Cardiac and Vascular Diseases, Institute of Cardiology, Jagiellonian University Medical College, Krakow, Poland.
Ik-Kyung JangCardiology Division, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA; Kyung Hee University, Seoul, South Korea. Electronic address: ijang@mgh.harvard.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCardiovascular risk factors (RFs) are commonly used in clinical practice to predict future adverse cardiovascular outcomes, including acute coronary syndromes (ACS). A recent study reported an association between RFs and plaque vulnerability in patients with ACS.

objectivesThis study aimed to investigate the association between RFs (modifiable and non-modifiable) and pan-coronary plaque burden, plaque phenotype, and features of vulnerability.

methodsIn patients undergoing 3-vessel optical coherence tomography imaging, modifiable (dyslipidemia, hypertension, diabetes mellitus, obesity, smoking) and non-modifiable (age, sex, family history) RFs were recorded. Plaque number, plaque phenotype, and vulnerable features were analyzed.

resultsA total of 534 plaques from 131 patients (36.6% ACS) were analyzed. As the number of RFs increased, the number of plaques (P trend = 0.001) as well as plaques with a vulnerable phenotype (thin-cap fibroatheromas [TCFAs], P trend = 0.001) increased. An increasing number of RFs was also associated with a higher number of vulnerable features (P trend < 0.001), including more thin fibrous caps (P trend = 0.001), lipid-rich plaques (LRPs), macrophages, microvessels, and cholesterol crystals (all P trend ≤ 0.001). In multivariable analyses, only modifiable RF burden was associated with increased pan-coronary vulnerability (incidence rate ratio [IRR]: 1.36; 95% CI: 1.18-1.57; P < 0.001), including a higher prevalence of TCFAs (IRR: 1.48; 95% CI: 1.20-1.83; P < 0.001), LRPs (IRR: 1.35; 95% CI: 1.15-1.59; P < 0.001), and cholesterol crystals (IRR: 1.50; 95% CI: 1.21-1.87; P < 0.001).

conclusionsAs the number of cardiovascular RFs increased, the number of plaques, plaques with a high-risk phenotype, and vulnerable features also increased. Only increasing modifiable RF burden was associated with greater pan-coronary vulnerability, including more TCFAs and LRPs. CLINICAL

trial registrationClinicalTrials.gov NCT01110538.

Indexed as

cardiovascular risk factorsoptical coherence tomographyplaque phenotypeplaque vulnerability

Identifiers

PMID42489602
PMCPMC13531621

What Socratic holds

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