Evaluating the ACS Surgical Risk Calculator for Ovarian Cancer Surgery
Author Information
Author(s): Kabeya Cedric, Khaled Charif, Polastro Laura, Moreau Michel, Bucella Dario, Fastrez Maxime, Liberale Gabriel
Primary Institution: Jules Bordet Institute, The Brussels University Hospital (H.U.B), Université Libre de Bruxelles (ULB)
Hypothesis
Can the ACS-SRC accurately predict early postoperative complications in patients undergoing cytoreductive surgery for ovarian cancer?
Conclusion
The ACS-SRC is of little value for predicting early postoperative complications in patients undergoing cytoreductive surgery for ovarian peritoneal carcinomatosis, as it only accurately predicted the need for nursing care post-discharge.
Supporting Evidence
- 94 complications were recorded among the 218 patients included in the study.
- The ACS-SRC was shown to be well calibrated for predicting the need for nursing care post-discharge.
- 43% of patients developed one or more early postoperative complications.
- Major complications occurred in 14% of patients.
- The calculator underestimated the incidence of all complications except for readmission rates.
- Discrimination for nursing care post-discharge was significant with a c-statistic of 0.70.
- Calibration was statistically significant for surgical site infection and nursing care post-discharge.
- The study included patients with advanced ovarian cancer undergoing cytoreductive surgery.
Takeaway
This study looked at how well a calculator predicts problems after surgery for ovarian cancer. It found that the calculator doesn't work very well, except for one specific type of care needed after going home.
Methodology
This was a retrospective study that included patients undergoing cytoreductive surgery for advanced ovarian cancer from January 2010 to December 2022, comparing actual postoperative complications with those predicted by the ACS-SRC.
Potential Biases
Potential for missing data due to the retrospective nature of the study.
Limitations
The study's retrospective design may have led to missing information regarding postoperative complications, and the limited number of patients affected the statistical analysis of several complications.
Participant Demographics
The median age of participants was 63 years, with a mean BMI of 25 kg/m2; 77% received neoadjuvant chemotherapy.
Statistical Information
P-Value
p<0.05
Statistical Significance
p<0.05
Digital Object Identifier (DOI)
Want to read the original?
Access the complete publication on the publisher's website