The current position of robotic surgery in the field of minimally invasive surgery remains ambiguous. We evaluated long-term trends of robotic general surgery and the future direction of its development. Data on robotic cancer surgeries between 2005 and 2014 were retrospectively collected by volunteer institutions in the Republic of Korea. Spearman's correlation and logistic regression analyses were used to compare robotic and laparoscopic surgery trends in general surgery. The odds that robotic surgery was performed instead of laparoscopic surgery significantly decreased in the fields of colorectal, stomach, and hepato-biliary-pancreatic surgery (odds ratio [OR]: 0.95, 95% confidence interval [CI]: 0.93-0.97; OR: 0.90, 95% CI: 0.88-0.92; and OR: 0.71, 95% CI: 0.65-0.78, respectively), except for thyroid surgery (OR: 1.28, 95% CI: 1.25-1.30). Of the total numbers of each procedure, proportions of robotic intersphincteric resections, abdominoperineal resections, and pylorus-preserving surgery performed significantly increased (r = 0.98, P < .001; r = 0.78, P = .01; and r = 0.86, P = .007, respectively). The use of robotic surgery failed to preponderate that of laparoscopic surgery, except for thyroid surgery. Robotic surgery is increasingly preferred for limited fields or complex surgeries, but the use of robotics in simple surgeries has decreased.

In this study, we aimed to explore the risk factors influencing post-recurrence survival (PRS) of early recurrence (ER) and late recurrence (LR) in stage advanced gastric cancer (AGC) patients after radical surgery, respectively, and to develop predictive models in turn. Medical records of 192 AGC patients who recurred after radical gastrectomy were retrospectively reviewed. They were randomly divided into the training and validation set at a ratio of 2:1. Nomograms were built based on risk factors influencing PRS of ER and LR explored by Cox regression analyses, respectively. Concordance index (C-index) values and calibration curves were used to evaluate predictive power of nomograms. Body mass index < 18.5 kg/m², prealbumin level < 70.1 mg/L, positive lymph nodes ratio ≥ 0.486 and palliative treatment after recurrence were independent risk factors for the prognosis of ER. In contrast, prealbumin level < 170.1 mg/L, CEA ≥ 18.32 μg/L, tumor diameter ≥ 5.5 cm and palliative treatment after recurrence were independent risk factors for the prognosis of LR. The C-index values were 0.801 and 0.772 for ER and LR in the training set, respectively. The calibration curves of validation set showed a C-index value of 0.744 and 0.676 for ER and LR, respectively. Nomograms which were constructed to predict the prognosis of ER and LR of AGC after surgery showed great predictive power and could provide reference for clinicians’ treatment strategies to some extent.

There are few studies on the predictive factors of early recurrence (ER) and late recurrence (LR) of advanced gastric cancer (GC) after curative surgery. Our study aims to explore the independent predictors influencing the prognosis between ER and LR in patients with advanced GC after curative intent surgery respectively. And we will further develop nomograms for prediction of post recurrence survival (PRS). Data of patients with GC who received radical gastrectomy was retrospectively collected. Recurrence was classified into ER and LR according to the 2 years after surgery as the cutoff value. Multivariate Cox regression analyses were used to explore significant predictors in our analysis. Then these significant predictors were integrated to construct nomograms. The 1-, 2- and 3-year probabilities of PRS in patients with ER were 30.00%, 16.36% and 11.82%, respectively. In contrast, the late group were 44.68%, 23.40%, and 23.30%, respectively. Low body mass index (hazard ratio [HR] = 0.86, P = .001), elevated monocytes count (HR = 4.54, P = .003) and neutrophil–lymphocyte ratio (HR = 1.03, P = .037) at the time of recurrence were risk factors of PRS after ER. Decreased hemoglobin (HR = 0.97, P = .008) and elevated neutrophil–lymphocyte ratio (HR = 1.06, P = .045) at the time of recurrence were risk factors of PRS after LR. The calibration curves for probability of 1-, 2-, and 3-year PRS showed excellent predictive effect. Internal validation concordance indexes of PRS were 0.722 and 0.671 for ER and LR respectively. In view of the different predictive factors of ER and LR of GC, the practical predictive model may help clinicians make reasonable decisions.

Kwon HW, et al. J Gastric Cancer. 2018 Sep;18(3):218-229. https://doi.org/10.5230/jgc.2018.18.e23

INPLASY202390060 Association between preoperative sarcopenia and prognosis of pancreatic cancer after curative-intent surgery: A updated systematic review and meta-analysis Keywords: sarcopenia, pa…

Background: There are few studies on the predictive factors of early recurrence (ER) and late recurrence (LR) of advanced gastric cancer (GC) after curative surgery. Our study aims to explore the independent predictors influencing the prognosis between ER and LR in patients with advanced GC after curative intent surgery respectively. And we will further develop nomograms for prediction of post recurrence survival (PRS). Materials and Method: Data of patients with GC who received radical gastrectomy was retrospectively collected. Recurrence was classified into ER and LR according to the two years after surgery as the cut-off value. Multivariate Cox regression analyses were used to explore significant predictors in our analysis. Then these significant predictors were integrated to construct nomograms. Results: The 1-, 2- and 3-year probabilities of PRS in patients with ER were 30.00%, 16.36% and 11.82%, respectively. In contrast, the late group were 44.68%, 23.40%, and 23.30%, respectively. Low body mass index (HR=0.86, P=0.001), elevated monocytes count (HR=4.54, P=0.003) and neutrophil–lymphocyte ratio (HR=1.03, P=0.037) at the time of recurrence were risk factors of PRS after ER. Decreased hemoglobin (HR=0.97, P=0.008) and elavated neutrophil–lymphocyte ratio (HR=1.06, P=0.045) at the time of recurrence were risk factors of PRS after LR. The calibration curves for probability of 1-, 2- and 3-year PRS showed excellent predictive effect. Internal validation C-indexes of PRS were 0.722 and 0.671 for ER and LR respectively. Conclusion: In view of the different predictive factors of ER and LR of GC, the practical predictive model may help clinicians make reasonable decisions.