Evidence map›Paper›PMID 36877423›Full record

ArticleLa Radiologia medica2023

Effectiveness of clinical scores in predicting coronary artery disease in familial hypercholesterolemia: a coronary computed tomography angiography study.

Federica Catapano, Nicola Galea, Giacomo Pambianchi, Laura D'Erasmo, Cristian Borrazzo, Giulia Cundari, Livia Marchitelli, Marianna Maranghi, Ilenia Minicocci, Alessia Di Costanzo and 4 more

Open access · hybridAbstract read
In one paragraph

Article in La Radiologia medica, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
3.8field-weighted citation impact, top 7% 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

5 citing papers in PubMed, 12 citations in OpenAlex.

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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

14 authors at 2 institutions in 1 country.

Federica Catapano *Department of Radiological, Oncological and Pathological Sciences, Sapienza University of Rome, Viale Regina Elena 324, 00161, Rome, Italy.
Nicola Galea *Department of Radiological, Oncological and Pathological Sciences, Sapienza University of Rome, Viale Regina Elena 324, 00161, Rome, Italy. nicola.galea@uniroma1.it.ORCID http://orcid.org/0000-0003-4708-5120
Giacomo PambianchiDepartment of Radiological, Oncological and Pathological Sciences, Sapienza University of Rome, Viale Regina Elena 324, 00161, Rome, Italy.
Laura D'ErasmoTranslational and Precision Medicine, Sapienza University of Rome, Viale Regina Elena 324, 00161, Rome, Italy.
Cristian BorrazzoDepartment of Medical-Surgical Sciences and Biotechnologies, Sapienza University of Rome, Corso Della Repubblica 79, 04100, Latina, Italy.
Giulia CundariDepartment of Radiological, Oncological and Pathological Sciences, Sapienza University of Rome, Viale Regina Elena 324, 00161, Rome, Italy.
Livia MarchitelliDepartment of Radiological, Oncological and Pathological Sciences, Sapienza University of Rome, Viale Regina Elena 324, 00161, Rome, Italy.
Marianna MaranghiTranslational and Precision Medicine, Sapienza University of Rome, Viale Regina Elena 324, 00161, Rome, Italy.
Ilenia MinicocciTranslational and Precision Medicine, Sapienza University of Rome, Viale Regina Elena 324, 00161, Rome, Italy.
Alessia Di CostanzoTranslational and Precision Medicine, Sapienza University of Rome, Viale Regina Elena 324, 00161, Rome, Italy.
Iacopo CarboneDepartment of Radiological, Oncological and Pathological Sciences, Sapienza University of Rome, Viale Regina Elena 324, 00161, Rome, Italy.
Marco FranconeDepartment of Biomedical Sciences, Humanitas University, Via Rita Levi Montalcini 4, 20072, Pieve Emanuele, Milan, Italy.
Marcello ArcaTranslational and Precision Medicine, Sapienza University of Rome, Viale Regina Elena 324, 00161, Rome, Italy.
Carlo CatalanoDepartment of Radiological, Oncological and Pathological Sciences, Sapienza University of Rome, Viale Regina Elena 324, 00161, Rome, Italy.
Sapienza University of Rome · ITHumanitas University · IT

Funding

Sapienza Università di Roma RG120172B9C5D38D
6 · The paper itself

Abstract

purposeOne of the major challenges in the management of familial hypercholesterolemia (FH) is the stratification of cardiovascular risk in asymptomatic subjects. Our purpose is to investigate the performance of clinical scoring systems, Montreal-FH-score (MFHS), SAFEHEART risk (SAFEHEART-RE) and FH risk score (FHRS) equations and Dutch Lipid Clinic Network (DLCN) diagnostic score, in predicting extent and severity of CAD at coronary computed tomography angiography (CCTA) in asymptomatic FH. MATERIAL AND

methodsOne-hundred and thirty-nine asymptomatic FH subjects were prospectively enrolled to perform CCTA. MFHS, FHRS, SAFEHEART-RE and DLCN were assessed for each patient. Atherosclerotic burden scores at CCTA (Agatston score [AS], segment stenosis score [SSS]) and CAD-RADS score were calculated and compared to clinical indices.

resultsNon-obstructive CAD was found in 109 patients, while 30 patients had a CAD-RADS ≥ 3. Classifying the two groups according to AS, values varied significantly for MFHS (p < 0.001), FHRS (p < 0.001) and SAFEHEART-RE (p = 0.047), while according to SSS only MFHS and FHRS showed significant differences (p < 0.001). MFHS, FHRS and SAFEHEART-RE, but not DLCN, showed significant differences between the two CAD-RADS groups (p < .001). MFHS proved to have the best discriminatory power (AUC = 0.819; 0.703-0.937, p < 0.001) at ROC analysis, followed by FHRS (AUC = 0.795; 0.715-0.875, p < .0001) and SAFEHEART-RE (AUC = .725; .61-.843, p < .001).

conclusionsGreater values of MFHS, FHRS and SAFEHEART-RE are associated to higher risk of obstructive CAD and might help to select asymptomatic patients that should be referred to CCTA for secondary prevention.

Indexed as

Coronary Artery DiseaseHyperlipoproteinemia Type IIComputed Tomography AngiographyCoronary AngiographyHumansPredictive Value of TestsRisk AssessmentRisk FactorsTomography, X-Ray ComputedAtherosclerotic cardiovascular diseaseCAD-RADSCoronary computed tomography angiographyDutch lipid clinic network scoreFamilial hypercholesterolemiaFH risk scoreSAFEHEART-RE

Identifiers

PMID36877423
PMCPMC10119045
OpenAlexW4323294184

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.