Evidence map›Paper›PMID 42332791›Full record

ArticleInterdisciplinary cardiovascular and thoracic surgery2026

Surgeon Experience and Outcomes: Specific, Analogy-Based and Cumulative Learning in Cardiac Surgery.

Benedikt L Langenbeck, Esra Eren Bayindir, Jonas Schreyögg, Tobias Becker, Jan F Gummert

Abstract read
In one paragraph

Article in Interdisciplinary cardiovascular and thoracic surgery, 2026. 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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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Benedikt L LangenbeckHamburg Center for Health Economics, Universität Hamburg, 20354 Hamburg, Germany.
Esra Eren BayindirHamburg Center for Health Economics, Universität Hamburg, 20354 Hamburg, Germany.ORCID 0000-0002-5071-359X
Jonas SchreyöggHamburg Center for Health Economics, Universität Hamburg, 20354 Hamburg, Germany.ORCID 0000-0001-8030-2161
Tobias BeckerClinic for Thoracic and Cardiovascular Surgery, Heart and Diabetes Center North Rhine-Westphalia (NRW), Ruhr University Bochum, 32545 Bad Oeynhausen, Germany.
Jan F GummertClinic for Thoracic and Cardiovascular Surgery, Heart and Diabetes Center North Rhine-Westphalia (NRW), Ruhr University Bochum, 32545 Bad Oeynhausen, Germany.ORCID 0000-0002-6956-9110

Funding

German Academic Research Foundation GRK 2805/1
6 · The paper itself

Abstract

objectivesTo assess how different learning mechanisms, including specific learning, analogy-based learning, and cumulative experience, influence surgical outcomes following coronary artery bypass graft (CABG), aortic valve replacement (AVR), and mitral valve reconstruction (MVR) surgeries.

methodsBetween 2010 and 2023, 46 surgeons performed 21 269 cardiac surgeries (CABG, AVR, and MVR) at a major heart surgery centre in Germany. Surgical proficiency was assessed using the 30-day risk-adjusted mortality rate (RAMR) and risk-adjusted re-thoracotomy rate (RARR), calculated for each surgeon and adjusted using EuroSCORE II. Linear regression models examined associations between learning mechanisms and surgical outcomes.

resultsHigher procedure-specific volume in the preceding quarter was significantly associated with a lower 30-day RAMR for CABG, demonstrating a decline of 0.49 percentage points (95% CI, -0.88 to -0.10; P = .014). Furthermore, analogy-based learning demonstrated a significant cross-procedural effect for CABG, as prior-quarter volumes of technically related procedures (AVR and MVR) exhibited significant non-linear associations with 30-day RAMR. For MVR, greater cumulative experience significantly reduced the RARR (-0.295; 95% CI, -0.55 to -0.03; P = .028). No significant volume-outcome associations were observed for AVR.This analysis included 21 269 total procedures (12 706 CABG, 5477 AVR, and 3086 MVR) from 2010 to 2023. Surgeons had a mean specialist experience of 8.2 years (CABG), 10.3 years (AVR), and 11.9 years (MVR) and performed a mean of 12, 5.1, and 5.1 procedure-specific surgeries per quarter, respectively.

conclusionsMaintaining consistent, procedure-specific practice and accumulating experience are crucial for improving cardiac surgery outcomes.

Indexed as

Aortic ValveCardiac Surgical ProceduresClinical CompetenceCoronary Artery BypassHeart Valve Prosthesis ImplantationLearning CurveMitral ValveSurgeonsFemaleGermanyHumansMalePostoperative ComplicationsReoperationRetrospective StudiesRisk Factorsaortic valve replacementcoronary artery bypass graftlearning mechanismsmitral valve reconstructionsurgeon experiencesurgery volume

Identifiers

PMID42332791
PMCPMC13345924

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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.