ArticleMaedica2025
Learning Curve in Robotic D2 Gastrectomy for Gastric Cancer: a Systematic Review and Meta-Analysis of Operative Proficiency and Postoperative Outcomes.
Article in Maedica, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
The trial behind it
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Who cites it
1 citing paper in PubMed.
- Safety, technical transferability, and oncological outcomes of multi-institutional robotic distal gastrectomy for gastric cancer: impact of surgeons qualified under the endoscopic surgical skill qualification system of the Japan Society for Endoscopic Surgery.Journal of robotic surgery · 2026Article
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Robotic-assisted D2 gastrectomy combines minimally invasive benefits with enhanced precision, though its technical complexity creates a significant learning curve. This study evaluates the learning process and its impact on surgical outcomes. Methods: We conducted a PRISMA-compliant meta-analysis of studies from major databases (2010-2023) including ≥10 robotic D2 gastrectomies. Outcomes assessed operative metrics, complications and oncological results using random-effects models. Results: Analysis of 30 studies (4,589 patients) revealed that proficiency required 25-50 cases. Significant improvements after achieving proficiency included 35% reduction in operative time (94.6 minutes), 50% less blood loss (89.2 mL), 18% increased lymph node yield (5.3 nodes) and 62% fewer major complications. High-volume centers achieved proficiency 12 cases sooner than low-volume counterparts. Conclusion: Robotic D2 gastrectomy demands 25-50 cases for mastery, with outcomes improving substantially post-learning curve. Centralized training and standardized protocols are crucial for optimal implementation.
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Registered trials
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