ArticleJournal of robotic surgery2026
Learning curve analysis across three surgical eras in Ivor Lewis esophagectomy.
Article in Journal of robotic 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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8 authors.
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Abstract
Comprehensive learning curve analyses across the evolution from open to robot-assisted esophagectomy remain limited. This retrospective single-center study analyzed 376 consecutive Ivor Lewis esophagectomies (2012–2023) across three eras: open (n = 127), hybrid-open (n = 52), and robot-assisted minimally invasive esophagectomy (RAMIE, n = 197). Learning curves were assessed using CUSUM analysis, and patient-specific factors were evaluated to guide case selection. Open esophagectomy reached plateau at case 65 with subsequent outcome deterioration. Hybrid-open achieved early plateau (case 15) but showed fluctuating metrics. RAMIE demonstrated steady improvement with CUSUM-derived stabilization achieved at cases 45–50 (hybrid-RAMIE) and 70 (total RAMIE), showing significant reductions in operative times, hospital stay, and ICU stay (p < 0.001). Higher BMI, advanced nodal disease, and comorbidity burden negatively impacted outcomes. In our center, CUSUM-derived stabilization was observed after approximately 45–50 cases for hybrid-RAMIE and about 70 cases for total RAMIE. Strategic case selection—prioritizing lower BMI, limited nodal burden, and minimal comorbidities may accelerate early stabilization of performance. High-volume centers may benefit from total-robotic approaches, while lower-volume programs may favor hybrid pathways.
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