Evidence map›Paper›PMID 41149266›Full record

ArticleJournal of cardiovascular development and disease2025

Diagnostic Accuracy of Coronary CT Angiography in Ruling Out Significant Coronary Artery Disease in Candidates for Transcatheter Aortic Valve Replacement.

Chiara Gallo, Alfonso Campanile, Carmine Izzo, Sonia Paoletta, Valentina Russo, Pierpaolo Chivasso, Francesco Vigorito, Marco Di Maio, Michele Ciccarelli, Amelia Ravera and 6 more

Abstract read
In one paragraph

Article in Journal of cardiovascular development and disease, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

16 authors.

Chiara GalloDepartment of Advanced Biomedical Sciences, Federico II University Hospital, 80131 Naples, Italy.
Alfonso CampanileIntensive Cardiac Care Unit, University Hospital "San Giovanni di Dio e Ruggi d'Aragona", 84131 Salerno, Italy.ORCID 0000-0001-7002-3556
Carmine IzzoDepartment of Cardiology, University Hospital "San Giovanni di Dio e Ruggi d'Aragona", 84131 Salerno, Italy.ORCID 0000-0001-8499-5428
Sonia PaolettaDepartment of Radiology, University Hospital "San Giovanni di Dio e Ruggi d'Aragona", 84131 Salerno, Italy.
Valentina RussoDepartment of Medicine, Surgery and Dentistry, University of Salerno, 84081 Baronissi, Italy.ORCID 0000-0002-1372-5743
Pierpaolo ChivassoDepartment of Cardiac Surgery, University Hospital "San Giovanni di Dio e Ruggi d'Aragona", 84131 Salerno, Italy.
Francesco VigoritoInterventional Cardiology Unit, University Hospital "San Giovanni di Dio e Ruggi d'Aragona", 84131 Salerno, Italy.
Marco Di MaioInterventional Cardiology Unit, University Hospital "San Giovanni di Dio e Ruggi d'Aragona", 84131 Salerno, Italy.
Michele CiccarelliDepartment of Medicine, Surgery and Dentistry, University of Salerno, 84081 Baronissi, Italy.ORCID 0000-0003-2379-1960
Amelia RaveraIntensive Cardiac Care Unit, University Hospital "San Giovanni di Dio e Ruggi d'Aragona", 84131 Salerno, Italy.
Tiziana AttisanoInterventional Cardiology Unit, University Hospital "San Giovanni di Dio e Ruggi d'Aragona", 84131 Salerno, Italy.
Giuliano MarazitiDepartment of Radiology, University Hospital "San Giovanni di Dio e Ruggi d'Aragona", 84131 Salerno, Italy.
Davide Di GennaroDepartment of Radiotherapy, University Hospital "San Giovanni di Dio e Ruggi d'Aragona", 84131 Salerno, Italy.
Enrico CoscioniDepartment of Cardiac Surgery, University Hospital "San Giovanni di Dio e Ruggi d'Aragona", 84131 Salerno, Italy.
Carmine VecchioneDepartment of Medicine, Surgery and Dentistry, University of Salerno, 84081 Baronissi, Italy.
Oliviero CaleoDepartment of Radiology, University Hospital "San Giovanni di Dio e Ruggi d'Aragona", 84131 Salerno, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Obstructive coronary artery disease (CAD) is common in patients undergoing transcatheter aortic valve implantation (TAVI). While invasive coronary angiography (ICA) is the gold standard for coronary evaluation, coronary computed tomography angiography (cCTA) is gaining interest for its potential to exclude obstructive CAD during pre-procedural imaging. This study aimed to assess the diagnostic accuracy of cCTA in ruling out significant CAD in TAVI candidates. We retrospectively analyzed 95 TAVI candidates (mean age 77.7 ± 8.5 years) who underwent both cCTA and ICA. Diagnostic performance of cCTA-sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and accuracy-was assessed using ICA as the reference, in both patient- and vessel-based models. Obstructive CAD was defined as ≥50% luminal stenosis or occlusion of a stent/bypass graft. ICA detected obstructive CAD in 27 patients (28.4%). Excluding non-evaluable cases, cCTA showed a negative predictive value (NPV) of 97% (patient-level) and 95% (vessel-level), with a diagnostic accuracy of 85% and 87%, respectively. Including all patients, regardless of scan quality, the NPV remained high (97%), although overall accuracy dropped to 67% (patient-level) and 66% (vessel-level). cCTA demonstrated high accuracy in excluding significant CAD, with a stable NPV of 95-97%. The relatively high rate of non-diagnostic scans and the single-center, retrospective design suggest that its role should be considered complementary to ICA, potentially reducing-but not replacing-the need for ICA in selected TAVI candidates.

Indexed as

aortic stenosiscardiovascular diseasecoronary artery disease (CAD)coronary computed tomography angiography (cCTA)invasive coronary angiography (ICA)transcatheter aortic valve implantation (TAVI)

Identifiers

PMID41149266
PMCPMC12564097

What Socratic holds

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Registered trials

None linked

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.