首页|McGill University Reports Findings in Cancer (Gynecologic oncology robot-assiste d surgery in octogenarians: Impact of age on hospital stay)
McGill University Reports Findings in Cancer (Gynecologic oncology robot-assiste d surgery in octogenarians: Impact of age on hospital stay)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Cancer is the subject of a report. According to news reporting originating in Quebec, Canada, by NewsR x journalists, research stated, "To compare postoperative stay in octogenarians and younger patients undergoing gynecologic oncology robot-assisted surgery. A r etrospective review of robot-assisted surgery in Gynecological Oncology division during 2019-2022." The news reporters obtained a quote from the research from McGill University, "W e included all consecutive cases. Octogenarians (age 80 years) and younger patie nts were investigated by univariable analysis for characteristics and outcome. A total of 816 robot-assisted surgeries were performed, 426 (52.2 %) endometrial cancer, 159 (19.5%) ovarian cancer, 27 (3.3% ) cervical cancer, 35 (4.3%) endometrial intraepithelial neoplasia, and in 169 (20.7%) the final pathology was benign. There were 60 ( 7.4%) octogenarians and 756 (92.6%) younger patients. The proportion of patients with an American Society of Anesthesiology score grea ter than 2 was higher among octogenarians (66.7% vs 32.0% , P<0.001). The median console time, surgical time, and to tal operation theater time were similar between groups (P = 0.303, P = 0.643 and P = 0.688, respectively). Conversion rate did not differ between groups (0.4% among younger patients vs 0% in octogenarians, P> 0.99). The median length of stay in the recovery room was similar in both group s (median 170 min, interquartile range [IQR] 125-225 min vs 170 min, IQR 128-240 min in octogenarians, P = 0.731). Length of hospital stay was similar in both age groups; median 1 day (IQR 1-1) among octog enarians versus 1 (0-1) in younger patients (P = 0.136)."
QuebecCanadaNorth and Central Americ aCancerEmerging TechnologiesGynecologyHealth and MedicineHospitalsMa chine LearningOncologyRobotRoboticsSurgeryWomen's Health
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