Description Module
The Description Module contains narrative descriptions of the clinical trial, including a brief summary and detailed description. These descriptions provide important information about the study's purpose, methodology, and key details in language accessible to both researchers and the general public.
Description Module path is as follows:
Study -> Protocol Section -> Description Module
Description Module
Ignite Creation Date:
2025-12-24 @ 1:58 PM
Ignite Modification Date:
2025-12-24 @ 1:58 PM
NCT ID:
NCT03556995
Brief Summary:
As bleeding is a major risk in bariatric surgeries, we aimed our study to find any predictors to such bleeding within the surgery or 30 days after surgery. The study is a retrospective study collecting patients data, surgeons data, and hospitals data in order to find if any of the factors influencing patients, surgeons or hospitals, has to do with bleeding in these surgeries and if it does impact bleeding in what way. The goal is finding a predictor that it's neutralizing may prevent bleeding in bariatric surgeries.
Detailed Description:
Were collected retrospectively the data of all patients (age 18 and older) that underwent bariatric surgery in Assuta Hospitals (Assuta is a nationwide privet hospitals network), during the years 2013-2016.
Patients underwent one of three procedures:
* laparoscopic sleeve gastrectomy (LSG),
* laparoscopic gastrectomy by-pass (LGBP)
* laparoscopic adjustable gastric band (LAGB) Demographic data of patients was collected (age, gender. BMI, habits, smoking, alcohol consumption etc.), as well as medical history, background diseases, family medical history, previous surgeries and procedures, chronic treatments, use of medications etc., We have also collected surgeons and hospital data - in which hospital was the surgery done? Surgery technique, surgeon's experience, capacity of surgeon - how many bariatric surgeries are done by the surgeon per months? Statistical analyses was done using chi square and Fisher's exact test for analyzing specific single variables. When analyzing the possible connection between BMI and bleeding, BMI values were split into three categories 30\<BMI\<35, 35\<BMI\<40 and BMI\>40. The use of single variable analyses enabled us to focus on a relatively small number of variables in the multivariable analyses. Variables that were statistically significant (p\<0.05) were used as independent variables in logistic regression tests.
Study:
NCT03556995
Study Brief:
Protocol Section:
NCT03556995