Evidence map›Paper›PMID 41462471›Full record

ArticleCardiovascular diabetology2025

SCORE2-diabetes for predicting coronary artery disease: a cardiac CT study in a diabetic moderate-risk region population.

Rocco Mollace, Matteo Nardin, Matteo Arzenton, Federica Testerini, Anita Fumagalli, Flavia Nicoli, Margherita Celeste Licastro, Alessandro Nudi, Valentina Bernardini, Federica Frascaro and 15 more

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In one paragraph

Article in Cardiovascular diabetology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Trial
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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

25 authors.

Rocco MollaceCardiology Department, Humanitas Gavazzeni, Bergamo, Italy. rocco.mollace@gmail.com.ORCID 0000-0002-7106-5595
Matteo NardinDepartment of Biomedical Sciences, Humanitas University, Pieve Emanuele, Milan, Italy.
Matteo ArzentonCardiology Unit, Azienda Ospedaliera Universitaria Di Ferrara, Ferrara, Italy.
Federica TesteriniDepartment of Biomedical Sciences, Humanitas University, Pieve Emanuele, Milan, Italy.
Anita FumagalliDepartment of Engineering and Applied Sciences, University of Bergamo, Bergamo, Italy.
Flavia NicoliCardiology Department, Humanitas Gavazzeni, Bergamo, Italy.
Margherita Celeste LicastroCardiology Department, Humanitas Gavazzeni, Bergamo, Italy.
Alessandro NudiCardiology Department, Humanitas Gavazzeni, Bergamo, Italy.
Valentina BernardiniDepartment of Biomedical Sciences, Humanitas University, Pieve Emanuele, Milan, Italy.
Federica FrascaroCardiology Unit, Azienda Ospedaliera Universitaria Di Ferrara, Ferrara, Italy.
Silvana Di MaioCardio Center, IRCCS Humanitas Research Hospital, Rozzano, Milan, Italy.
Rossella MenghiniDepartment of Systems Medicine, University of Rome Tor Vergata, Rome, Italy.
Elona CollakuRadiology Department, Humanitas Gavazzeni, Bergamo, Italy.
Giorgio AgatiRadiology Department, Humanitas Gavazzeni, Bergamo, Italy.
Eleonora CorghiRadiology Department, Humanitas Gavazzeni, Bergamo, Italy.
Maria Lo MonacoCardiology Department, Humanitas Gavazzeni, Bergamo, Italy.
Davide CaoCardiology Department, Humanitas Gavazzeni, Bergamo, Italy.
Antonio CardamoneLaboratory of Physiology, Department of Health Sciences, Institute of Research for Food, Safety and Health IRC-FSH, University Magna Græcia of Catanzaro, Catanzaro, Italy.
Cristina CarresiPharmacology Laboratory, Department of Health Sciences, Institute of Research for Food, Safety and Health IRC-FSH, University Magna Græcia of Catanzaro, Catanzaro, Italy.
Anna Rita CoppolettaPharmacology Laboratory, Department of Health Sciences, Institute of Research for Food, Safety and Health IRC-FSH, University Magna Græcia of Catanzaro, Catanzaro, Italy.
Eugenio MartelliDivision of Vascular and Endovascular Surgery, University of Tor Vergata, Rome, Italy.
Gianluca CampoCardiology Unit, Azienda Ospedaliera Universitaria Di Ferrara, Ferrara, Italy.
Giulio StefaniniDepartment of Biomedical Sciences, Humanitas University, Pieve Emanuele, Milan, Italy.
Erika BertellaCardiology Department, Humanitas Gavazzeni, Bergamo, Italy.
Massimo FedericiDepartment of Systems Medicine, University of Rome Tor Vergata, Rome, Italy.

Funding

Italian Complementary National Plan PNC0000002Ministero dell'Istruzione, dell'Università e della Ricerca PE_00000019
6 · The paper itself

Abstract

backgroundCurrent approaches to estimating the probability of coronary artery disease (CAD) in patients with type 2 diabetes mellitus (T2DM) often fail to reflect the clinical complexity of the condition, as they tend to oversimplify it by neglecting its progressive nature, variability in glycemic control, and the influence of disease duration. The SCORE2-Diabetes (SCORE2-D) model was developed to offer a more nuanced cardiovascular risk estimate by incorporating continuous variables and individualized risk factor weighting. However, its correlation with the actual presence and severity of CAD in diabetic patients remains under-investigated.

objectiveThis study aims to evaluate the association between SCORE2-D scores and CAD characteristics, as assessed by computed tomography coronary angiography (CCTA), in patients with T2DM and no prior coronary revascularization. Specifically, it investigates the relationship between SCORE2-D risk categories and the presence, morphology, and severity of coronary plaques.

methodsA retrospective analysis was conducted on patients aged 40-69 with T2DM, no history of atherosclerotic cardiovascular disease, and no severe target organ damage, who underwent CCTA at a tertiary care center. Clinical data, SCORE2-D values, and imaging results were collected. Patients were stratified into SCORE2-D risk categories, and coronary findings were compared across groups.

resultsThe study included 104 patients (mean age 60.9 years; mean SCORE2-D 12.2 ± 4.9). Higher SCORE2-D scores were significantly associated with the presence of coronary plaques. In the low-moderate risk group, calcified and non-calcified plaques were similarly distributed, while in the high-very high risk group, non-calcified (lipid-rich and mixed) plaques predominated, indicating potentially more vulnerable lesions. Proximal coronary segments, especially the left anterior descending artery, were most frequently involved. A progressive increase in plaque burden and stenosis severity was observed with rising SCORE2-D risk category. Patients at higher risk were more often referred for invasive coronary angiography.

conclusionsHigher SCORE2-D scores correlate with greater CAD burden, more severe stenosis, and a predominance of high-risk plaque features in patients with T2DM. These findings suggest that SCORE2-D may be a valuable tool in refining cardiovascular risk stratification and guiding clinical decision-making in diabetic populations.

Indexed as

Computed Tomography AngiographyCoronary AngiographyCoronary Artery DiseaseCoronary StenosisCoronary VesselsDecision Support TechniquesDiabetes Mellitus, Type 2Multidetector Computed TomographyVascular CalcificationAdultAgedFemaleHeart Disease Risk FactorsHumansMaleMiddle AgedCoronary artery diseaseCoronary CT angiographySCORE2-DType 2 diabetes mellitus

Identifiers

PMID41462471
PMCPMC12750844

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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.