Evidence map›Paper›PMID 40561650›Full record

ArticleJournal of surgical education2025

Consensus on Key Attributes of Cardiac Surgeons' Intraoperative Performance.

Roger D Dias, Francis D Pagani, Donald S Likosky, Milisa Manojlovich, Jamie M Robertson, Korana Stakich-Alpirez, Steven Yule

Abstract readConsensus Statement
In one paragraph

Article in Journal of surgical education, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Roger D DiasHarvard Medical School, STRATUS Center for Medical Simulation, Medical AI & Cognitive Engineering (MAICE) Lab, Mass General Brigham, Boston, Massachusetts. Electronic address: rdias@bwh.harvard.edu.
Francis D PaganiDepartment of Cardiac Surgery, University of Michigan, Ann Arbor, Michigan.
Donald S LikoskyDepartment of Cardiac Surgery, University of Michigan, Ann Arbor, Michigan.
Milisa ManojlovichDepartment of Systems, Populations and Leadership, University of Michigan School of Nursing, Ann Arbor, Michigan.
Jamie M RobertsonHarvard Medical School, STRATUS Center for Medical Simulation, Medical AI & Cognitive Engineering (MAICE) Lab, Mass General Brigham, Boston, Massachusetts.
Korana Stakich-AlpirezDepartment of Cardiac Surgery, University of Michigan, Ann Arbor, Michigan.
Steven YuleCentre for Medical Informatics, Usher Institute, University of Edinburgh, Scotland, United Kingdom.

Funding

Novel Assessments of Technical and Non-Technical Cardiac Surgery QualityR01HL146619 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI LIKOSKY, DONALD S, PAGANI, FRANCIS D · 2020 to 2024
$3.4M
Surgeons as High-Performance Athletes: Applying Player Development Strategies from Professional Sport to Enhance Surgical PerformanceR01HL175879 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Joseph A Dearani, DONALD S LIKOSKY · 2024 to 2026
$2.0M
NHLBI NIH HHS R01 HL146619NHLBI NIH HHS R01 HL175879
6 · The paper itself

Abstract

objectiveTo generate a comprehensive model of cardiac surgeons' intraoperative performance, encompassing a wide range of attributes most related to patient safety and surgical outcomes.

methodsA 3-phase mixed methods study was conducted: (1) an online survey of cardiac surgeons from the National Cardiac Surgery Quality IMPROVEment Network to identify key performance attributes; (2) an expert panel meeting during The Society of Thoracic Surgeons Annual Meeting using video-based recall protocol to extract additional performance attributes; and (3) three rounds of Delphi consensus method to rate attributes' importance. Attributes rated as "very important" or "essential" by ≥80% of participants were included in the final consensus statement. Performance attributes were mapped to the Accreditation Council for Graduate Medical Education (ACGME) Core Competencies and Thoracic Surgery Integrated Milestones.

resultsTwenty-five surgeons from the United States participated in Phases 1 and 2, generating 54 unique performance attributes. In Phase 3, 27 cardiac surgeons from 5 countries participated in the Delphi process, yielding consensus on 46 attributes classified into 5 operative performance domains: cognitive skills (14 attributes, 30.4%), technical skills (12 attributes, 26.1%), social skills (9 attributes, 19.6%), medical knowledge (6 attributes, 13.0%), and emotional intelligence (5 attributes, 10.9%).

conclusionsThis study establishes a comprehensive model demonstrating that a cardiac surgeon's intraoperative performance encompasses multiple domains beyond medical knowledge and technical skills. The resulting performance model aligns with educational frameworks and facilitates practical implementation in surgical training programs for holistic performance assessment and quality improvement.

Indexed as

Cardiac Surgical ProceduresClinical CompetenceSurgeonsThoracic SurgeryAdultDelphi TechniqueEducation, Medical, GraduateFemaleHumansMaleQuality ImprovementSurveys and QuestionnairesUnited Statescardiac surgeryintraoperative performancenontechnical skillspatient safetysurgical education

Identifiers

PMID40561650
PMCPMC12328074

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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.