Background: Robot-assisted gastrectomy (RAG) has been increasingly used for the treatment of advanced gastric cancer (AGC), and many advantages over laparoscopy-assisted gastrectomy (LAG) have been reported. However, its postgastrectomy complications still under investigation and the results remain controversial. This study aimed to objectively assess the incidence and severity of complications following RAG vs. LAG using Clavien-Dindo (C-D) classification and to identify risk factors related to complications.
Methods: Five hundred and twenty-seven patients with AGC who underwent RAG or LAG between January 2016 and May 2018 were enrolled in this study. Complications were categorized according to the C-D classification. The complications following RAG and LAG were compared using one-to-one propensity score matching (PSM) analysis and subgroup analyses. Logistic regression analyses were performed to identify risk factors related to complications.
Results: RAG was performed in 251 patients (47.6%) and LAG in 276 patients (52.4%). Before PSM, the RAG group had a smaller tumour size (P = 0.004) and less patients with previous abdominal operation (P = 0.013). After PSM, a well-balanced cohort of 446 patients (223 in each group) was further analyzed. Of interest, the incidence of overall and severe complications (C-D grade ≥ IIIa) following the RAG group were significantly fewer than the LAG group (overall, 24.5% vs. 18.8%, P < 0.001; severe, 8.9% vs. 17.5%, P = 0.002). Subgroup analyses showed statistically significant difference were also observed in most stratified parameters. Multivariable analysis identified age ≥ 65 years, total gastrectomy, stage T3-T4a, stage II-III, and operation time ≥ 250 min as independent predictors of overall complications. Additionally, age ≥ 65 years, stage II-III, and operation time ≥ 250 min were confirmed as independent risk factors for severe complications.
Conclusions: RAG with D2 lymphadenectomy is feasible and safe for the treatment of AGC in terms of the lower incidence and severity of complications.
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http://dx.doi.org/10.1007/s00464-018-06624-7 | DOI Listing |
Psychoneuroendocrinology
January 2025
Departamento de Farmacología, Centro de Investigación y de Estudios Avanzados del IPN, Av. Instituto Politécnico Nacional 2508, La Laguna Ticomán, CP 07360, México. Electronic address:
Commun Med (Lond)
September 2024
Interuniversity Institute for Biostatistics and Statistical Bioinformatics (I-BioStat), Data Science Institute (DSI), UHasselt, Hasselt, Belgium.
Background: Across Europe, countries have responded to the COVID-19 pandemic with a combination of non-pharmaceutical interventions and vaccination. Evaluating the effectiveness of such interventions is of particular relevance to policy-makers.
Methods: We leverage almost three years of available data across 38 European countries to evaluate the effectiveness of governmental responses in controlling the pandemic.
J Integr Neurosci
May 2024
Department of Radiology, Medical Imaging Center, The Affiliated Hospital of Yangzhou University, Yangzhou University, 225009 Yangzhou, Jiangsu, China.
Objective: The objective of this study is to compare the differences in effective connectivity within the default mode network (DMN) subsystems between patients with Parkinson's disease with mild cognitive impairment (PD-MCI) and patients with Parkinson's disease with normal cognition (PD-CN). The mechanisms underlying DMN dysfunction in PD-MCI patients and its association with clinical cognitive function in PD-MCI are aimed to be investigated.
Methods: The spectral dynamic causal model (spDCM) was employed to analyze the effective connectivity of functional magnetic resonance imaging (fMRI) data in the resting state for the DMN subsystems, which include the medial prefrontal cortex (MPFC), posterior cingulate cortex (PCC), left and right angular gyrus (LAG, RAG) in 23 PD-MCI and 22 PD-CN patients, respectively.
Surg Endosc
May 2024
Department of Gastric Surgery, Fujian Medical University Union Hospital, No.29 Xinquan Road, Fuzhou, 350001, Fujian Province, China.
Background: Textbook outcome (TO) has been widely employed as a comprehensive indicator to assess the short-term prognosis of patients with cancer. Preoperative malnutrition is a potential risk factor for adverse surgical outcomes in patients with gastric cancer (GC). This study aimed to compare the TO between robotic-assisted gastrectomy (RAG) and laparoscopic-assisted gastrectomy (LAG) in malnourished patients with GC.
View Article and Find Full Text PDFZhong Nan Da Xue Xue Bao Yi Xue Ban
May 2023
Second Department of Gastrointestinal, Third Xiangya Hospital, Central South University, Changsha 410013, China.
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