METHODS: Electronic databases (Pubmed, EMBASE, CINAHL) were searched for RCTs conducted in adults (>18y) that compared the 5-year- outcomes of LVSG to LRYGB and described comorbidity outcomes were included. Where data allowed, effect sizes were calculated using the Hartung-Knapp-Sidik-Jonkman estimation method for random effects model. Presence of bias was assessed with Cochrane Risk of Bias 2.0 and funnel plots, and certainty of evidence evaluated by GRADE. The study prospectively registered with PROSPERO (CRD42018112054).
RESULTS: Three RCTs (LVSG=254, LRYGB=255) met inclusion criteria and reported on chronic disease outcomes. Improvement and/or resolution of hypertension favoured LRYGB (odds ratio 0.49, 95% CI 0.29, 0.84; P =0.03). Trends favoring LRYGB were seen for type 2 diabetes and dysplidemia, and LVSG for sleep apnea and back/joint conditions ( P >0.05). The certainty of evidence associated with each assessed outcome ranged from low to very low, in the setting of 'some' to 'high' bias assessed as being present.
CONCLUSION: Both LRYGB and LVSG are effective in providing long-term improvements in commonly experienced obesity-related comorbidities; however, the limited certainty of the evidence does not allow for strong clinical conclusions to be made at this time regarding benefit of one procedure over the other.
METHODS: This study used available under-five nutritional secondary data from the Demographic and Health Surveys performed in sub-Saharan African countries. The research used bagging, boosting, and voting algorithms, such as random forest, decision tree, eXtreme Gradient Boosting, and k-nearest neighbors machine learning methods, to generate the MVBHE model.
RESULTS: We evaluated the model performances in contrast to each other using different measures, including accuracy, precision, recall, and the F1 score. The results of the experiment showed that the MVBHE model (96%) was better at predicting malnutrition than the random forest (81%), decision tree (60%), eXtreme Gradient Boosting (79%), and k-nearest neighbors (74%).
CONCLUSIONS: The random forest algorithm demonstrated the highest prediction accuracy (81%) compared with the decision tree, eXtreme Gradient Boosting, and k-nearest neighbors algorithms. The accuracy was then enhanced to 96% using the MVBHE model. The MVBHE model is recommended by the present study as the best way to predict malnutrition in under-five children.
METHODS: A meta-analysis and systematic review of MEDLINE, PubMed Central (via PubMed), Embase (via Ovid), SCOPUS, ScienceDirect, Google Scholar, SCI and Cochrane Library databases were undertaken. Seven randomized controlled trials assessing the outcomes of PSR and POMR were analyzed in accordance with the PRISMA statement. The risk of bias was assessed using the Rob2 tool.
RESULTS: According to the pooled analysis, POMR significantly reduced the incidence of IH compared to the PSR (OR 5.82 [95% CI 2.69, 12.58] P
MATERIALS AND METHODS: Searches of electronic databases (PubMed, Embase, CINAHL, Cochrane) were undertaken for randomized controlled trials describing weight loss outcomes in adults at 5 years postoperatively. Where sufficient data was available to undertake meta-analysis, the Hartung-Knapp-Sidik-Jonkman estimation method for random effects model was utilized. The review was registered with PROSPERO and reported following in accordance with Preferred Reporting Items for Systematic Reviews and Meta-Analyses.
RESULTS: Five studies met the inclusion criteria totaling 1028 patients (LVSG=520, LRYGB=508). Moderate but comparable levels of bias were observed within studies. Statistically significant body mass index loss ranged from -11.37 kg/m (range: -6.3 to -15.7 kg/m) in the LVSG group and -12.6 kg/m (range: -9.5 to -15.4 kg/m) for LRYGB at 5 years (P<0.001). Systematic review suggested that LRYGB produced a greater weight loss expressed as percent excess weight and percent excess body mass index loss than LVSG: this was not corroborated in the meta-analysis.
CONCLUSIONS: Five year weight loss outcomes suggest both LRYGB and LVSG are effective in achieving significant weight loss at 5 years postoperatively, however, differences in reporting parameters limit the ability to reliably compare the outcomes using statistical methods. Furthermore, results may be impacted by large dropout rates and per protocol analysis of the 2 largest included studies. Further long-term studies are required to contradict or validate the results of this meta-analysis.
MATERIALS AND METHODS: Randomized controlled comparing MIE versus OE were searched from PubMed and other electronic databases between January 1991 and March 2019. Thirteen outcome variables were analyzed. Random effects model was used to calculate the effect size. The meta-analysis was prepared in accordance with PRISMA guidelines.
RESULTS: Four randomized controlled trials totaling 569 patients were analyzed. For MIE, there was a significantly reduction of 67% in the odds of pulmonary complications. For operating time, MIE was nonsignificantly 29 minutes longer. MIE was associated with nonsignificantly less blood loss of 443.98 mL. There was nonsignificant 60% reduction in the odds of total complications and 51% reduction in the odds of medical complications favoring MIE group. For delayed gastric emptying, there was a nonsignificant reduction of 75% in the odds ratio favoring the MIE group. For postoperative anastomotic leak, there was a nonsignificant increase of 48% in the odds ratio for MIE group. For gastric necrosis, chylothorax, reintervention and 30-day mortality, no difference was observed for both groups. There was a nonsignificant reduction in the length of hospital stay of 7.98 days and intensive care unit stay of 2.7 days favoring MIE.
CONCLUSIONS: MIE seems to be superior to OE for only pulmonary complications. All the other perioperative variables were comparable however, the trend is favoring the MIE. Therefore, the routine use of MIE presently may only be justifiable in high volume esophagogastric units.