Evidence map›Paper›PMID 33754275›Full record

ArticleJournal of cardiovascular translational research2021

Prediction of 5-Year Mortality in Patients with Chronic Coronary Syndrome Treated with Elective Percutaneous Coronary Intervention: Role of the ACEF Score.

Luca Paolucci, Fabio Mangiacapra, Michele Mattia Viscusi, Edoardo Bressi, Iginio Colaiori, Elisabetta Ricottini, Ilaria Cavallari, Annunziata Nusca, Rosetta Melfi, Gian Paolo Ussia and 1 more

Abstract read
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In one paragraph

Article in Journal of cardiovascular translational research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Trial
  2. Simple risk stratification for a complex coronary phenotype: association of the ACEF score with coronary slow flow.Postepy w kardiologii interwencyjnej = Advances in interventional cardiology · 2026
    Article
  3. Article
  4. Observational
  5. Article
  6. Article
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

11 authors.

Luca PaolucciUnit of Cardiovascular Science, Department of Medicine, Campus Bio-Medico University, Via Álvaro del Portillo, 200, 00128, Rome, Italy.
Fabio MangiacapraUnit of Cardiovascular Science, Department of Medicine, Campus Bio-Medico University, Via Álvaro del Portillo, 200, 00128, Rome, Italy. f.mangiacapra@unicampus.it.ORCID 0000-0002-3505-0716
Michele Mattia ViscusiUnit of Cardiovascular Science, Department of Medicine, Campus Bio-Medico University, Via Álvaro del Portillo, 200, 00128, Rome, Italy.
Edoardo BressiUnit of Cardiovascular Science, Department of Medicine, Campus Bio-Medico University, Via Álvaro del Portillo, 200, 00128, Rome, Italy.
Iginio ColaioriUnit of Cardiovascular Science, Department of Medicine, Campus Bio-Medico University, Via Álvaro del Portillo, 200, 00128, Rome, Italy.
Elisabetta RicottiniUnit of Cardiovascular Science, Department of Medicine, Campus Bio-Medico University, Via Álvaro del Portillo, 200, 00128, Rome, Italy.
Ilaria CavallariUnit of Cardiovascular Science, Department of Medicine, Campus Bio-Medico University, Via Álvaro del Portillo, 200, 00128, Rome, Italy.
Annunziata NuscaUnit of Cardiovascular Science, Department of Medicine, Campus Bio-Medico University, Via Álvaro del Portillo, 200, 00128, Rome, Italy.
Rosetta MelfiUnit of Cardiovascular Science, Department of Medicine, Campus Bio-Medico University, Via Álvaro del Portillo, 200, 00128, Rome, Italy.
Gian Paolo UssiaUnit of Cardiovascular Science, Department of Medicine, Campus Bio-Medico University, Via Álvaro del Portillo, 200, 00128, Rome, Italy.
Francesco GrigioniUnit of Cardiovascular Science, Department of Medicine, Campus Bio-Medico University, Via Álvaro del Portillo, 200, 00128, Rome, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We evaluated the predictive power of age, creatinine, and ejection fraction (ACEF) score on mortality at 5-year follow-up in a population of 471 patients with chronic coronary syndrome (CCS) treated with percutaneous coronary intervention (PCI). Patients in the ACEF-High tertile showed the highest incidence of death at 5 years (15.7% vs. 2.6% in ACEF-Low and 4.3% in ACEF-Mid; log rank p<0.001). The ACEF score could significantly discriminate between patients who died and those who were still alive at 5 years (AUC 0.741, 95% CI 0.654-0.828), and an ACEF score >1.32 was identified as the optimal cutoff point to predict 5-year mortality (sensitivity 74%, specificity 68%). An ACEF score >1.32 was an independent predictor of 5-year mortality (HR 5.77, 95% CI 2.70-12.31; p<0.001). Our study shows that the ACEF score can predict mortality at 5-year follow-up in patients with CCS treated with PCI.

Indexed as

Percutaneous Coronary InterventionAgedAge FactorsBiomarkersChronic DiseaseCoronary AngiographyCoronary DiseaseCreatinineFemaleHumansItalyMaleMiddle AgedPrognosisProspective StudiesStroke VolumeBiomarkersCreatinineACEF scoreChronic coronary syndromePercutaneous coronary intervention

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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.