Determining post-operative morbidity and mortality following gynecological oncology surgery: protocol for a multicenter, international, prospective cohort study (Global Gynaecological Oncology Surgical Outcomes Collaborative—GO SOAR)

Faiza Gaba* (Corresponding Author), Nicolò Bizzarri, Paul Kamfwa, Allison Saiz, Oleg Blyuss, Shantini Paranjothy, Pedro T Ramirez, David Cibula, GO SOAR team

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

Background The Global Gynaecological Oncology Surgical Outcomes Collaborative (GO SOAR) aims to develop a network of gynecological oncology surgeons, surgical departments, and other interested parties that will have the long-term ability to collaborate on outcome studies. The protocol for the first collaborative study is presented here.

Primary Objective To evaluate international variation in 30-day post-operative morbidity and mortality following gynecological oncology surgery between very high/high and medium/low human development index country settings.

Hypothesis There is no variation in post-operative morbidity and mortality following gynecological oncology surgery between very high/high and medium/low human development index country settings.

Study Design International, multicenter, prospective cohort study. Patient data will be collected over a consecutive 30-day period through gynecological oncology multidisciplinary teams/tumor boards and clinics across different human development index country groups. All data are collected on a customized, secure, password protected, central REDCap database.

Major Inclusion/Exclusion Criteria Inclusion criteria include women aged ≥18 years undergoing elective/emergency, curative/palliative surgery for primary/recurrent tubo-ovarian/peritoneal, endometrial, cervical, vulval, vaginal, gestational trophoblastic malignancies. Surgical modality may be open, minimal access (laparoscopic/robotic), or vaginal.

Primary Endpoint 30-day post-operative morbidity and mortality defined as per Clavien-Dindo classification system.

Sample Size 1100 (550/arm).

Estimated Dates for Completing Accrual and Presenting Results It is estimated recruitment will be completed by 2022 and results published by 2023.
Original languageEnglish
Pages (from-to)1287-1291
Number of pages5
JournalInternational Journal of Gynecological Cancer
Volume31
Issue number9
Early online date6 Sep 2021
DOIs
Publication statusPublished - 6 Sep 2021

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