A new prognostic index model using meta-analysis in early-stage epithelial ovarian cancer

ObjectivesTo construct a novel prognostic index (PI) model of early-stage epithelial ovarian cancer (EOC).MethodsThe PI model was constructed through meta-analyses. The methodological quality of the studies was assessed using the modified Jadad scale for randomized controlled trials (RCTs) and the Newcastle–Ottawa scale for non-RCTs. The prognosis factors of the PI model that had a significant impact on the recurrence-free survival (RFS) of patients with early-stage ovarian cancer were chosen. A total of 177 patients with early-stage ovarian cancer who were treated at Severance Hospital were analyzed using the new PI model to test its utility.ResultsThe equation PI = 2 × age + 86 (if grade 2) or 105 (if grade 3) + 53 (if stage Ib or Ic) or 130 (if stage II) + 53 (if no lymphadenectomy) − 43 (for adjuvant chemotherapy of 3 times or more) + 10 (calibrating constant) was derived. Based on PI values, the high-risk group showed a significant 5 year-RFS difference compared to the low-risk group (P-value < 0.01 by log-rank test) and a borderline significance in comparison to the intermediate-risk group (P-value = 0.08). When the cutoff level of PI values was set at 211, the low- and high-risk groups of recurrence within 5 years were also identified by Cox regression analysis (HR = 7.25, 95% CI: 2.98–17.65) .ConclusionsOur PI model was predictive in this study and may be effective in clinical practice. Further prospective studies should be conducted to confirm the predictive ability of the new PI model for early-stage EOC recurrence.

► We constructed a novel prognostic index (PI) model in early-stage ovarian cancer through meta-analysis. ► The PI model in this study could distinguish high risk and low risk groups for recurrence in early-stage ovarian cancer. ► Our PI model could be a useful resource for the selection of appropriate treatment options for patients.