Textbook oncologic outcome is an easy-to-use composite quality measure that is strongly associated with survival in advanced-stage ovarian cancer

Objective. Textbook oncologic outcome (TOO) has been validated in surgical oncology as a composite quality measure correlated with oncologic outcomes. We aimed to assess the association between TOO and overall survival (OS) in patients undergoing primary treatment for advanced epithelial tubo-ovarian cancer (AEOC). Methods. Patients undergoing surgery for AEOC between 2008 and 2019 were identified in the National Cancer Database (NCDB). Primary debulking surgery (PDS) and interval debulking surgery (IDS) cohorts were analyzed separately. TOO was defined as achieving complete debulking, length of hospital stay <10 days, no 30-day readmission, no death within 90 days, and initiation of adjuvant chemotherapy within 42 days. The Kaplan-Meier method was used to estimate 5-year OS by TOO status and Cox regression to evaluate the relationship between TOO and death within 5 years. Results. A total of 21,657 patients were included: 51.4% in the PDS cohort and 48.6% in the IDS cohort. TOO was achieved (TOO+) in 20.5% of the PDS cohort and 39.2% of the IDS cohort. For the PDS cohort, achieving TOO was associated with improved 5-year OS: 59.0% TOO+ vs. 39.5% TOO- (HR 0.53, 95% CI 0.49-0.57). For the IDS cohort, a similar benefit was seen for 5-year OS: 43.9% TOO+ vs. 31.2% TOO- (HR 0.67, 95% CI 0.63-0.70). Multivariable analysis demonstrated that patients achieving TOO were at lower risk of death within 5 years in both the PDS cohort (HR 0.58, 95% CI 0.54-0.62) and the IDS cohort (HR 0.69, 95% CI 0.65-0.73). Conclusions. The TOO composite measure is associated with improved long-term survival and could be a useful quality assessment tool for patients undergoing primary treatment for AEOC, irrespective of surgical timing. This tool reflects the ability to deliver risk-based individualized decision-making using a multidisciplinary approach. (c) 2024 Elsevier Inc. All rights are reserved, including those for text and data mining, AI training, and similar technologies.