Evidence map›Paper›PMID 41785273›Full record

ArticleDiseases of the esophagus : official journal of the International Society for Diseases of the Esophagus2026

Balancing innovation and risks in esophageal surgery: lessons from the hybrid Ivor-Lewis technique.

Giovanni Maria Garbarino, Andrea Pansa, Lorenzo Giorgi, Renato De Martino, Marta Casiraghi, Silvia Basato, Rita Alfieri, Carlo Castoro

Abstract read
In one paragraph

Article in Diseases of the esophagus : official journal of the International Society for Diseases of the Esophagus, 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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0citing papers 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

The trial behind it

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3 · Its place in the literature

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

8 authors.

Giovanni Maria GarbarinoDepartment of Biomedical Sciences, Humanitas University, Pieve Emanuele, Milan, Italy.
Andrea PansaUpper Gastrointestinal Surgery Unit, IRCCS Humanitas Research Hospital, Rozzano, Milan, Italy.ORCID 0000-0002-7917-5617
Lorenzo GiorgiUpper Gastrointestinal Surgery Unit, IRCCS Humanitas Research Hospital, Rozzano, Milan, Italy.ORCID 0000-0002-4862-0263
Renato De MartinoDepartment of Biomedical Sciences, Humanitas University, Pieve Emanuele, Milan, Italy.
Marta CasiraghiDepartment of Biomedical Sciences, Humanitas University, Pieve Emanuele, Milan, Italy.
Silvia BasatoUpper Gastrointestinal Surgery Unit, IRCCS Humanitas Research Hospital, Rozzano, Milan, Italy.
Rita AlfieriUpper Gastrointestinal Surgery Unit, IRCCS Humanitas Research Hospital, Rozzano, Milan, Italy.ORCID 0000-0002-4993-2197
Carlo CastoroDepartment of Biomedical Sciences, Humanitas University, Pieve Emanuele, Milan, Italy.

Funding

IRCCS Humanitas Research Hospital
6 · The paper itself

Abstract

The implementation of minimally invasive esophagectomy has gained widespread acceptance following the publication of randomized controlled trials demonstrating reduced pulmonary complications and shorter hospital stays. However, variability in reported anastomotic leak rates and differences in selected trial endpoints have raised questions regarding how best to balance innovation with patient safety during the adoption of new surgical techniques. This Lessons Learned article reflects on the ethical and clinical considerations surrounding the transition toward fully minimally invasive esophagectomy when excellent outcomes have been achieved with hybrid or open approaches in high-volume centers. Drawing on our institutional experience with a modified hybrid Ivor-Lewis technique, combining thoracoscopic lymphadenectomy with open reconstruction, we discuss how stepwise integration of minimally invasive surgical steps may preserve key postoperative outcomes during the learning curve. We argue that institutional performance and outcomes with major clinical impact, particularly anastomotic integrity and major complications, should play a central role in guiding the pace and modality of innovation adoption. Surgical progress should be driven by real-world results and structured learning pathways, ensuring that advances in esophageal surgery remain patient-centered and ethically sound.

Indexed as

Esophageal NeoplasmsEsophagectomyThoracoscopyAnastomosis, SurgicalAnastomotic LeakEsophagusHumansLearning CurveLymph Node ExcisionMinimally Invasive Surgical ProceduresPostoperative Complicationsesophageal cancerethicsminimally invasive esophagectomytextbook outcome

Identifiers

PMID41785273
PMCPMC13017144

What OpenQuestion holds

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LicenceCC BY
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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.