Evidence mapPaperPMID 42036619Full record

ArticleThe international journal of cardiovascular imaging2026

CAPIRE score predicts long-term major cardiac events.

Daniele Andreini, Edoardo Conte, Marco Magnoni, Saima Mushtaq, Alice Bonomi, Roberto Latini, Marco Gorini, Felicita Andreotti, Eleuterio Ferrannini, Giuseppe Mercuro and 4 more

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Article in The international journal of cardiovascular imaging, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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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. Article
4 · The record

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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.

Daniele AndreiniOspedale Galeazzi Sant'Ambrogio IRCCS, Milan, Italy.
Edoardo ConteOspedale Galeazzi Sant'Ambrogio IRCCS, Milan, Italy. edoardo.conte86@gmail.com.
Marco MagnoniIRCCS Ospedale San Raffaele, Milan, Italy.
Saima MushtaqCentro Cardiologico Monzino IRCCS, Milan, Italy.
Alice BonomiOspedale Galeazzi Sant'Ambrogio IRCCS, Milan, Italy.
Roberto LatiniDepartment of Cardiovascular Research, IRCCS - Istituto di Ricerche Farmacologiche "Mario Negri", Milan, Italy.
Marco GoriniANMCO Research Center, Heart Care Foundation, Florence, Italy.
Felicita AndreottiDepartment of Cardiovascular Sciences, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy.
Eleuterio FerranniniCNR Institute of Clinical Physiology,, Pisa, Italy.
Giuseppe MercuroDepartment of Medical Sciences and Public Health, University of Cagliari, Cagliari, Italy.
Antonio L BartorelliOspedale Galeazzi Sant'Ambrogio IRCCS, Milan, Italy.
Fabrizio MontecuccoIRCCS Ospedale Policlinico San Martino Genoa-Italian Cardiovascular Network, 10 Largo Benzi, Genoa, 16132, Italy.
Aldo P MaggioniANMCO Research Center, Heart Care Foundation, Florence, Italy.
CAPIRE Investigators

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background Coronary computed tomography angiography (CCTA) is the gold standard for non-invasive coronary atherosclerosis evaluation. Purpose To evaluate the performance of advanced atherosclerosis analysis by CCTA in predicting long-term major cardiac events in subjects enrolled in the multicenter CAPIRE study. Materials and methods CAPIRE prospectively enrolled subjects with suspected coronary artery disease (CAD) who underwent advanced plaque assessment by CCTA. Outcome measures were two combined endpoints: acute coronary syndrome (ACS) and major adverse cardiac events MACE (ACS+cardiac death+late non-urgent revascularization). Results The final CAPIRE population comprised 528 subjects (age 60 ± 8 years, 308 men). CCTA showed no CAD in 348 (65.9%) and CAD in 180. Follow-up was obtained in 522 subjects (98.8%) over a median of 7 (4.5–7) years. In total, 72 events were recorded (13 ACS, 14 cardiac deaths and 45 late non-urgent revascularizations). The volume of non-calcific plaques showed the best predictive ability for ACS (AUC = 0.90; 95% CI: 0.84–0.96), whereas the Leaman score was the best discriminator for MACE (AUC = 0.85; 95% CI: 0.81–0.89). At multivariate Cox regression analysis using an epidemiological approach, age (HR 1.04, 95% CI 1.00–1.07; p = 0.04), male sex (HR 2.76, 95% CI 1.43–5.32; p = 0.0025), glycated hemoglobin (HR 1.40, 95% CI 1.13–1.72;p = 0.0021), and non-calcific plaque volume (HR 1.01, 95% CI 1.00–1.01; p < 0.0001) remained significant independent predictors of MACE. Weighted HRs for independent predictors of MACE were used to create the new CAPIRE SCORE that was cross-validated yielding an AUC of 0.85. Conclusions In subjects with suspected CAD, our findings support a robust prognostic value of CCTA-derived high-risk atherosclerotic features combined with clinical variables to predict major cardiac events at long-term follow-up.

Indexed as

CAPIRE SCORECardiovascular preventionCoronary atherosclerosisCoronary CT angiographyHigh-risk plaque featuresMajor cardiac events.

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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.