Unknown

Dataset Information

0

Predictors of survival in patients with recurrent ovarian cancer undergoing secondary cytoreductive surgery based on the pooled analysis of an international collaborative cohort.


ABSTRACT:

Background

This study aims to identify prognostic factors and to develop a risk model predicting survival in patients undergoing secondary cytoreductive surgery (SCR) for recurrent epithelial ovarian cancer.

Methods

Individual data of 1100 patients with recurrent ovarian cancer of a progression-free interval at least 6 months who underwent SCR were pooled analysed. A simplified scoring system for each independent prognostic factor was developed according to its coefficient. Internal validation was performed to assess the discrimination of the model.

Results

Complete SCR was strongly associated with the improvement of survival, with a median survival of 57.7 months, when compared with 27.0 months in those with residual disease of 0.1-1 cm and 15.6 months in those with residual disease of >1 cm, respectively (P<0.0001). Progression-free interval (≤23.1 months vs >23.1 months, hazard ratio (HR): 1.72; score: 2), ascites at recurrence (present vs absent, HR: 1.27; score: 1), extent of recurrence (multiple vs localised disease, HR: 1.38; score: 1) as well as residual disease after SCR (R1 vs R0, HR: 1.90, score: 2; R2 vs R0, HR: 3.0, score: 4) entered into the risk model.

Conclusion

This prognostic model may provide evidence to predict survival benefit from secondary cytoreduction in patients with recurrent ovarian cancer.

SUBMITTER: Zang RY 

PROVIDER: S-EPMC3185944 | biostudies-literature |

REPOSITORIES: biostudies-literature

Similar Datasets

| S-EPMC5920224 | biostudies-literature
| S-EPMC10788571 | biostudies-literature
| S-EPMC8496933 | biostudies-literature
| S-EPMC6078899 | biostudies-other
| S-EPMC6779625 | biostudies-literature
| S-EPMC3380884 | biostudies-other
| S-EPMC4170993 | biostudies-literature
| S-EPMC5665721 | biostudies-other
| S-EPMC8278673 | biostudies-literature
| S-EPMC4679512 | biostudies-literature