Body mass index influence on short-term perioperative results in robotic-assisted laparoscopic partial nephrectomy: a comprehensive systematic review and meta-analysis.

The objective of this meta-analysis was to evaluate the perioperative outcomes of robotic-assisted partial nephrectomy (RAPN) in obese and non-obese patients. Through March 2024, we executed an exhaustive search in internationally acclaimed databases such as PubMed, Cochrane Library, and Web of Science, limiting our scope to publications in English. We discarded review articles, protocols lacking empirical data, conference abstracts, and materials not pertinent to our research. Our analytical framework utilized the Cochran-Mantel-Haenszel method alongside a random-effects model for evaluating dichotomous variables' mean differences, expressed through odds ratios (OR) with 95% confidence intervals (CI). We established statistical significance at a P value below 0.05. The comprehensive meta-analysis incorporated data from eight cohort studies, collectively assessing 3657 patients. Findings indicated that, relative to individuals of normal weight, those in the obese category had prolonged operative durations (WMD - 25.68 95% CI - 42.07 to - 9.29; P = 0.002), increased estimated blood loss (WMD - 48.55ml, 95% CI - 78.27 to - 18.83; P = 0.001), and longer warm ischemia times (WMD - 1.11, 95% CI - 2.03 to - 0.19; P = 0.02). However, no significant disparities were observed in hospital stay duration, intraoperative and total postoperative complications, severe postoperative complications, or alterations in postoperative estimated glomerular filtration rate (eGFR). Our findings conclude that robotic-assisted partial nephrectomy (RAPN) represents a viable and safe surgical approach for obese patients. This assertion is backed by the observation that crucial metrics, including postoperative renal function alterations, surgical complication rates, and hospitalization duration, exhibit no substantial variances when juxtaposed with counterparts of normal weight.

A systematic review and meta-analysis of short-term outcomes comparing the efficacy of robotic versus laparoscopic colorectal surgery in obese patients.

This meta-analysis was conducted to evaluate and contrast the effectiveness of robotic-assisted and laparoscopic colorectal surgery in the treatment of obese patients. In February 2024, we carried out an exhaustive search of key global databases including PubMed, Embase, and Google Scholar, limiting our focus to studies published in English and Chinese. We excluded reviews, protocols lacking published results, articles derived solely from conference abstracts, and studies not relevant to our research objectives. To analyze categorical variables, we utilized the Cochran-Mantel-Haenszel method along with random-effects models, calculating inverse variances and presenting the outcomes as odds ratios (ORs) along with their 95% confidence intervals (CIs). Statistical significance was determined when p values were less than 0.05. In our final meta-analysis, we included eight cohort studies, encompassing a total of 5,004 patients. When comparing the robotic surgery group to the laparoscopic group, the findings revealed that the robotic group experienced a longer operative time (weighted mean difference (WMD) = 37.53 min, 95% (CI) 15.58-59.47; p = 0.0008), a shorter hospital stay (WMD = -0.68 days, 95% CI -1.25 to -0.10; p = 0.02), and reduced blood loss (WMD = -49.23 mL, 95% CI -64.31 to -34.14; p < 0.00001). No significant differences were observed between the two groups regarding overall complications, conversion rates, surgical site infections, readmission rates, lymph node yield, anastomotic leakage, and intestinal obstruction. The results of our study indicate that robot-assisted colorectal surgery offers benefits for obese patients by shortening the length of hospital stay and minimizing blood loss when compared to laparoscopic surgery. Nonetheless, it is associated with longer operation times and shows no significant difference in terms of overall complications, conversion rates, rehospitalization rates, and other similar metrics.