Investigator

Jeremie Abitbol

Mcgill University

JAJeremie Abitbol
Papers(3)
A prospective compari…The impact of wait ti…Impact of robotic sur…
Collaborators(2)
Marcus Q. BernardiniEmad Matanes
Institutions(2)
Mcgill UniversityUniversity Of Toronto

Papers

A prospective comparison of costs between robotics, laparoscopy, and laparotomy in endometrial cancer among women with Class III obesity or higher

AbstractBackground and ObjectivesTo compare the immediate operating room (OR), inpatient, and overall costs between three surgical modalities among women with endometrial cancer (EC) and Class III obesity or higher.MethodsA multicentre prospective observational study examined outcomes of women, with early stage EC, treated surgically. Resource use was collected for OR costs including OR time, equipment, and inpatient costs. Median OR, inpatient, and overall costs across surgical modalities were analyzed using an Independent‐Samples Kruskal–Wallis Test among patients with BMI ≥ 40.ResultsOut of 520 women, 103 had a BMI ≥ 40. Among women with BMI ≥ 40: median OR costs were $4197.02 for laparotomy, $5524.63 for non‐robotic assisted laparoscopy, and $7225.16 for robotic‐assisted laparoscopy (p < 0.001) and median inpatient costs were $5584.28 for laparotomy, $3042.07 for non‐robotic assisted laparoscopy, and $1794.51 for robotic‐assisted laparoscopy (p < 0.001). There were no statistically significant differences in the median overall costs: $10 291.50 for laparotomy, $8412.63 for non‐robotic assisted laparoscopy, and $9002.48 for robotic‐assisted laparoscopy (p = 0.185).ConclusionThere was no difference in overall costs between the three surgical modalities in patient with BMI ≥ 40. Given the similar costs, any form of minimally invasive surgery should be promoted in this population.

The impact of wait times on oncological outcome in high‐risk patients with endometrial cancer

AbstractObjectiveTo evaluate the impact of surgical wait times on outcome of patients with grade 3 endometrial cancer.MethodsAll consecutive patients surgically treated for grade 3 endometrial cancer between 2007 and 2015 were included. Patients were divided into two groups based on the time interval between endometrial biopsy and surgery: wait time from biopsy to surgery ≤12 weeks (84 days) vs more than 12 weeks. Survival analyses were conducted using log‐rank tests and Cox proportional hazards models.ResultsA total of 136 patients with grade 3 endometrial cancer were followed for a median of 5.6 years. Fifty‐one women (37.5%) waited more than 12 weeks for surgery. Prolonged surgical wait times were not associated with advanced stage at surgery, positive lymph nodes, increased lymphovascular space invasion, and tumor size (P = .8, P = 1.0, P = .2, P = .9, respectively). In multivariable analysis adjusted for clinical and pathological factors, wait times did not significantly affect disease‐specific survival (adjusted hazard ratio [HR]: 1.2, 95% confidence interval [CI], 0.6‐2.5, P = .6), overall survival (HR: 1.1, 95% CI, 0.6‐2.1, P = .7), or progression‐free survival (HR: 0.9, 95% CI, 0.5‐1.7, P = .8).ConclusionProlonged surgical wait time for poorly differentiated endometrial cancer seemed to have a limited impact on clinical outcomes compared to biological factors.

Impact of robotic surgery on patient flow and resource use intensity in ovarian cancer

There is an emerging focus on the role of robotic surgery in ovarian cancer. To date, the operational and cost implications of the procedure remain unknown. The objective of the current study was to evaluate the impact of integrating minimally invasive robotic surgery on patient flow, resource utilization, and hospital costs associated with the treatment of ovarian cancer during the in-hospital and post-discharge processes. 261 patients operated for the primary treatment of ovarian cancer between January 2006 and November 2014 at a university-affiliated tertiary hospital were included in this study. Outcomes were compared by surgical approach (robotic vs. open surgery) as well as pre- and post-implementation of the robotics platform for use in ovarian cancer. The in-hospital patient flow and number of emergency room visits within 3 months of surgery were evaluated using multi-state Markov models and generalized linear regression models, respectively. Robotic surgery cases were associated with lower rates of postoperative complications, resulted in a more expedited postoperative patient flow (e.g., shorter time in the recovery room, ICU, and inpatient ward), and were between $10,376 and $7,421 less expensive than the average laparotomy, depending on whether or not depreciation and amortization of the robotic platform were included. After discharge, patients who underwent robotic surgery were less likely to return to the ER (IRR 0.42, p = 0.02, and IRR 0.47, p = 0.055, in the univariate and multivariable models, respectively). With appropriate use of the technology, the addition of robotics to the medical armamentarium for the management of ovarian cancer, when clinically feasible, can bring about operational efficiencies and entails cost savings.

3Papers
2Collaborators
Endometrial NeoplasmsOvarian NeoplasmsPrognosisNeoplasm Grading

Education

PhD

McGill University · Experimental Medicine