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Assessment of a Real-world Learning Curve for the Endoscopic Resection of Gastric Gastrointestinal Stromal Tumors

BACKGROUND: Endoscopic resection (ER) is a proven treatment for gastric gastrointestinal stromal tumors (gGISTs). We aimed to assess the learning curve (LC) associated with ER for gGISTs and identify determinants. METHODS: We conducted an analysis of 289 patients who underwent the ER of gGISTs by an...

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Detalles Bibliográficos
Autores principales: Sun, Ying, Liu, Luojie, Shi, Dongtao, Ma, Chao, Xu, Xiaodan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10469254/
https://www.ncbi.nlm.nih.gov/pubmed/37646636
http://dx.doi.org/10.1177/03000605231194448
Descripción
Sumario:BACKGROUND: Endoscopic resection (ER) is a proven treatment for gastric gastrointestinal stromal tumors (gGISTs). We aimed to assess the learning curve (LC) associated with ER for gGISTs and identify determinants. METHODS: We conducted an analysis of 289 patients who underwent the ER of gGISTs by an experienced endoscopist. To characterize the LC, we employed cumulative sum analysis of the duration of surgery. The participants were divided into an early phase (cases 1–50) and a later phase (case 51–289), which were compared. Furthermore, we identified risk factors for the conversion from endoscopic to laparoscopic resection (LR). RESULTS: The durations of surgery and hospitalization were shorter, and there were fewer complications and fasting days in the later phase. The conversion rates to LR were 6.0% and 2.5% in the early and later phases, respectively. The tumor diameter (≥3.0 cm) and invasion beyond the muscularis propria were significant risk factors for conversion to LR (odds ratio 17.92, 95% confidence interval 2.66–120.87; and 58.03, 6.40–525.84; respectively). CONCLUSIONS: The LC for ER of gGISTs lasts for approximately 50 cases. In addition, tumors ≥3.0 cm in diameter and those that invade beyond the muscularis propria are more likely to require conversion to LR.