Statistical Analysis on Robotic Assisted Minimally Invasive Two Stage Anastomosis with Fistula Repair and a Diverting Loop Ileostomy​ Treatment of Diverticulitis
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Statistical Analysis on Robotic Assisted Minimally Invasive Two Stage Anastomosis with Fistula Repair and a Diverting Loop Ileostomy​ Treatment of Diverticulitis

Abstract

Our procedure uses advanced technology paired with what we’ve learnt from prior Primary Anastomosis procedures to treat diverticulitis through a robotic assisted minimally invasive two stage anastomosis with fistula repair and a diverting loop ileostomy. In this study, we compare our procedure with Primary Anastomosis, Hartmann, Laparotomy, Laparoscopy, and other Minimally Invasive Robotic procedures.We performed a meta-analysis and compared 95% confidence intervals of our procedure’s outcome variables with other research paper’s outcome variables. Outcome variables were length of stay in hospital (days), operation time (min.), and blood loss (ml). In order to check the validity of comparing our study with other research paper’s results, we compared 95% confidence intervals of our study’s raw data and 95% confidence intervals of bootstrap samples from our study’s data. Our minimally invasive robotic procedure tended to have shorter lengths of time in the hospital than other Hartmann and Primary Anastomosis procedures. Our study’s 95% confidence interval (CI) for blood loss (ml) was also less than the Hartmann and Primary Anastomosis procedures and in line with gynecologic and hysterectomy MIS robotic procedures. There were three Hartmann and Primary Anastomosis studies with 95% CI for operation time (minutes) that overlap with our study’s operation time and the remainder research papers have CI with longer operation times than our procedure. We can not conclusively say our minimally invasive robotic procedure to cure diverticulitis is better than other procedures. The trends in the current study with sample size 20 show there are a lot of benefits to this procedure and it is not harmful. An increase in sample size would allow causal findings.

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