Introduction/Background We compare the characteristics of the population currently undergoing surgery for ovarian cancer with the population that was used to build the statistical model described before, focusing on those aspects that have been shown to be influential in obtaining suboptimal surgeries.

Methodology It is a prospective analytical study with retrospective analysis of data from patients diagnosed with advanced ovarian cancer who underwent cytoreductive surgery in different Spanish centers participating in the study.

Results Between January 2017 and March 2023, 81 patients were enrolled in the study from the different collaborating hospitals.

The median age of the patients was 61 years.

The 73,8% (63 patients) were classified as FIGO IIIC, the 23,2% (19 patients) presented stage IV.

The rate of complete or optimal cytoreduction was 95,2% (79 patients) with a 53,2% of postoperative complications. The rate of suboptimal cytoreduction was 4.8%.

There is a notable decrease in the number of suboptimal surgeries in the new group, 4.82% compared to 13.75% in the model calculation, with a p value of 0,05.

They also reach values of statistical significance for the ascites, 28% vs 49.4% in the new group, p value 0,003 and the intestinal subocclusion, 8% at control group vs 0% in the new data, with p-value 0,002.

We believe that part of the decrease in suboptimal surgeries in the current data collection is due to a selection bias of the patients, since those who have presented a high risk in the calculation of the model have not been included directly to surgery, they will have been referred to neoadjuvant surgery, so they are not included in the database.

Conclusion The model has been shown to be effective as its application in patient selection has demonstrated a decrease in suboptimal surgeries.

Disclosures The authors report no conflicts of interest in this work.