Evidence map›Paper›PMID 27884354›Full record

ArticleJACC. Cardiovascular interventions2016

Computing Methods for Composite Clinical Endpoints in Unprotected Left Main Coronary Artery Revascularization: A Post Hoc Analysis of the DELTA Registry.

Davide Capodanno, Giuseppe Gargiulo, Sergio Buccheri, Alaide Chieffo, Emanuele Meliga, Azeem Latib, Seung-Jung Park, Yoshinobu Onuma, Piera Capranzano, Marco Valgimigli and 23 more

Abstract readComparative StudyMulticenter Study
PubMed Publisher
In one paragraph

Article in JACC. Cardiovascular interventions, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
–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

12 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Prioritised endpoints for device-based hypertension trials: the win ratio methodology.EuroIntervention : journal of EuroPCR in collaboration with the Working Group on Interventional Cardiology of the European Society of Cardiology · 2021
    Trial
  3. Observational
  4. Review
  5. Article
  6. Article
  7. Statistical methods for composite endpoints.EuroIntervention : journal of EuroPCR in collaboration with the Working Group on Interventional Cardiology of the European Society of Cardiology · 2021
    Article
  8. Choosing primary endpoints for clinical trials of health care interventions.Contemporary clinical trials communications · 2019
    Review
  9. Review
  10. Article
  11. Statistical Approaches to Composite Endpoints.JACC. Cardiovascular interventions · 2016
    Article
  12. Observational
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

33 authors.

Davide CapodannoCardio-Thoracic-Vascular Department, Ferrarotto Hospital, University of Catania, Catania, Italy. Electronic address: dcapodanno@gmail.com.
Giuseppe GargiuloCardio-Thoracic-Vascular Department, Ferrarotto Hospital, University of Catania, Catania, Italy; Department of Advanced Biomedical Sciences, Federico II University of Naples, Naples, Italy.
Sergio BuccheriCardio-Thoracic-Vascular Department, Ferrarotto Hospital, University of Catania, Catania, Italy.
Alaide ChieffoDepartment of Cardio-Thoracic and Vascular Diseases, San Raffaele Scientific Institute, Milan, Italy.
Emanuele MeligaInterventional Cardiology Unit, A. O. Ordine Mauriziano Umberto I, Turin, Italy.
Azeem LatibDepartment of Cardio-Thoracic and Vascular Diseases, San Raffaele Scientific Institute, Milan, Italy.
Seung-Jung ParkDepartment of Cardiology, Center for Medical Research and Information, University of Ulsan College of Medicine, Asan Medical Center, Seoul, South Korea.
Yoshinobu OnumaThoraxcenter, Erasmus Medical Center, Rotterdam, the Netherlands.
Piera CapranzanoCardio-Thoracic-Vascular Department, Ferrarotto Hospital, University of Catania, Catania, Italy.
Marco ValgimigliBern University Hospital, Bern, Switzerland.
Inga NarbuteLatvian Centre of Cardiology, Pauls Stradins Clinical University Hospital, and Institute of Cardiology, University of Latvia, Riga, Latvia.
Raj R MakkarCedars-Sinai Heart Institute, Cedars-Sinai Medical Center, Los Angeles, California.
Igor F PalaciosCardiac Catheterization Laboratory, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts.
Young-Hak KimDepartment of Cardiology, Center for Medical Research and Information, University of Ulsan College of Medicine, Asan Medical Center, Seoul, South Korea.
Pawel E BuszmanCenter for Cardiovascular Research and Development of American Heart of Poland, Katowice, Poland.
Tarun ChakravartyCedars-Sinai Heart Institute, Cedars-Sinai Medical Center, Los Angeles, California.
Imad SheibanInterventional Cardiology, Division of Cardiology, University of Turin, S. Giovanni Battista Molinette Hospital, Turin, Italy.
Roxana MehranMount-Sinai Medical Center, New York, New York.
Christoph NaberKlinik für Kardiologie und Angiologie, Elisabeth-Krankenhaus, Essen, Germany.
Ronan MargeyCedars-Sinai Heart Institute, Cedars-Sinai Medical Center, Los Angeles, California.
Arvind AgnihotriCardiac Catheterization Laboratory, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts.
Sebastiano MarraInterventional Cardiology, Division of Cardiology, University of Turin, S. Giovanni Battista Molinette Hospital, Turin, Italy.
Martin B LeonColumbia University Medical Center and Cardiovascular Research Foundation, New York, New York.
Jeffrey W MosesColumbia University Medical Center and Cardiovascular Research Foundation, New York, New York.
Jean FajadetClinique Pasteur, Toulouse, France.
Thierry LefèvreHopital privé Jacques Cartier, Ramsay Générale de Santé, Massy, France.
Marie-Claude MoriceHopital privé Jacques Cartier, Ramsay Générale de Santé, Massy, France.
Andrejs ErglisLatvian Centre of Cardiology, Pauls Stradins Clinical University Hospital, and Institute of Cardiology, University of Latvia, Riga, Latvia.
Ottavio AlfieriDepartment of Cardio-Thoracic and Vascular Diseases, San Raffaele Scientific Institute, Milan, Italy.
Patrick W SerruysThoraxcenter, Erasmus Medical Center, Rotterdam, the Netherlands.
Antonio ColomboDepartment of Cardio-Thoracic and Vascular Diseases, San Raffaele Scientific Institute, Milan, Italy.
Corrado TamburinoCardio-Thoracic-Vascular Department, Ferrarotto Hospital, University of Catania, Catania, Italy.
DELTA Investigators

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe study sought to investigate the impact of different computing methods for composite endpoints other than time-to-event (TTE) statistics in a large, multicenter registry of unprotected left main coronary artery (ULMCA) disease.

backgroundTTE statistics for composite outcome measures used in ULMCA studies consider only the first event, and all the contributory outcomes are handled as if of equal importance.

methodsThe TTE, Andersen-Gill, win ratio (WR), competing risk, and weighted composite endpoint (WCE) computing methods were applied to ULMCA patients revascularized by percutaneous coronary intervention (PCI) or coronary artery bypass grafting (CABG) at 14 international centers.

resultsAt a median follow-up of 1,295 days (interquartile range: 928 to 1,713 days), all analyses showed no difference in combinations of death, myocardial infarction, and cerebrovascular accident between PCI and CABG. When target vessel revascularization was incorporated in the composite endpoint, the TTE (p = 0.03), Andersen-Gill (p = 0.04), WR (p = 0.025), and competing risk (p < 0.001) computing methods showed CABG to be significantly superior to PCI in the analysis of 1,204 propensity-matched patients, whereas incorporating the clinical relevance of the component endpoints using WCE resulted in marked attenuation of the treatment effect of CABG, with loss of significance for the difference between revascularization strategies (p = 0.10).

conclusionsIn a large study of ULMCA revascularization, incorporating the clinical relevance of the individual outcomes resulted in sensibly different findings as compared with the conventional TTE approach. In particular, using the WCE computing method, PCI and CABG were no longer significantly different with respect to the composite of death, myocardial infarction, cerebrovascular accident, or target vessel revascularization at a median of 3 years.

Indexed as

Models, StatisticalAgedCerebrovascular DisordersCoronary Artery BypassCoronary Artery DiseaseData Interpretation, StatisticalDrug-Eluting StentsEndpoint DeterminationFemaleHumansKaplan-Meier EstimateLogistic ModelsMaleMarkov ChainsMiddle AgedMultivariate AnalysisAndersen-Gillcompeting riskleft mainweighted composite event(s)win ratio

Identifiers

What OpenQuestion holds

Textmetadata
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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 OpenQuestion graph.