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Comparative analysis of robotic gastrectomy and laparoscopic gastrectomy for gastric cancer in terms of their long-term oncological outcomes: a meta-analysis of 3410 gastric cancer patients

Guixiang Liao, Zhihong Zhao, Muhammad Khan, Yawei Yuan, Xianming Li

发表年份
2019
引用次数
32
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摘要

BACKGROUND: Data regarding the long-term oncological outcomes of robotic gastrectomy (RG) are limited despite the increased commonality of this method as an alternative for gastric cancer treatment. Here, we conducted a meta-analysis to evaluate the long-term oncological outcomes of RG in comparison to that of laparoscopic gastrectomy (LG). METHODS: The PubMed, ISI Web of Science, EMBASE, and Cochrane Library databases were comprehensively searched for studies that compared RG and LG in terms of their long-term survival outcomes. The hazard ratios (HRs) of overall survival (OS), disease-free survival (DFS), and relapse-free survival (RFS) were obtained, while the odds ratio (OR) was recorded for the recurrence rate. A sensitivity analysis was performed. Egger's test and Begg's test were applied to evaluate publication bias. RESULTS: Eight studies were identified and involved 3410 gastric cancer patients (RG, 1009; LG, 2401). The two groups had no significant differences in OS (HR, 0.98; 95% CI, 0.80-1.20; P = 0.81), DFS (HR, 1.36; 95% CI, 0.33-5.59; P = 0.67), RFS (HR, 0.92; 95% CI, 0.72-1.19; P = 0.53), or recurrence rate (OR, 0.92; 95% CI, 0.71-1.19; P = 0.53). Moreover, the two techniques were comparable in length of hospital stay (LOS), postoperative complication rate, 30-day mortality rate, and rate of conversion to open surgery. CONCLUSIONS: The long-term oncological outcomes, expressed as OS, DFS, RFS, and recurrence rate, were similar between RG and LG. However, more randomized controlled trials with rigorous study designs and patient cohorts are needed to evaluate the oncologic outcomes of RG in patients with gastric cancer.

关键词

MedicineMeta-analysisSurgical oncologyGastrectomyInternal medicineCochrane LibraryHazard ratioCancerOdds ratioPublication bias

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