1] Department of Obstetrics and Gynaecology, Radboud University Medical Centre, Geert Grooteplein 10, 6500 HB Nijmegen, The Netherlands [2] Department of Obstetrics and Gynecology, Maastricht University Medical Centre, Maastricht, The Netherlands [3] GROW, School for Oncology and Developmental Biology, Maastricht University, P Debyelaan 25, 6229 HA Maastricht, The Netherlands.
Department for Health Evidence, Radboud University Medical Centre, Geert Grooteplein 10, 6500 HB Nijmegen, The Netherlands.
Br J Cancer. 2014 Jan 7;110(1):42-8. doi: 10.1038/bjc.2013.717. Epub 2013 Nov 19.
For various malignancies, prognostic models have shown to be superior to traditional staging systems in predicting overall survival. The purpose of this study was to validate and compare the performance of three prognostic models for overall survival in patients with advanced-stage epithelial ovarian cancer.
A multi-institutional epithelial ovarian cancer database was used to identify patients and to evaluate the predictive performance of two nomograms, a prognostic index and FIGO (International Federation of Obstetrics and Gynecology) stage. All patients were treated for advanced-stage epithelial ovarian cancer between January 1996 and January 2009 in 11 hospitals in the eastern part of The Netherlands.
In total, 542 patients were found to be eligible. Overall performance did not differ between the three prognostic models and FIGO stage. The discriminative performance for Chi's model was moderately good (c indices 0.65 and 0.68) and for the models of Gerestein and Teramukai reasonable (c indices between 0.60 and 0.62). The c indices of FIGO stage ranged between 0.54 and 0.62. After recalibration, the three models showed almost perfect calibration, whereas calibration of FIGO stage was reasonable.
The three prediction models showed general applicability and a reasonably well-predictive performance, especially in comparison to FIGO stage. To date, there are no studies available that analyse the impact of these prognostic models on decision-making and patient outcome. Therefore, the usefulness of these models in daily clinical practice remains to be investigated.
对于各种恶性肿瘤,预后模型在预测总生存期方面优于传统分期系统。本研究旨在验证和比较三种用于预测晚期上皮性卵巢癌患者总生存期的预后模型的性能。
使用多机构上皮性卵巢癌数据库来确定患者,并评估两个列线图、预后指数和 FIGO(国际妇产科联合会)分期的预测性能。所有患者均于 1996 年 1 月至 2009 年 1 月在荷兰东部的 11 家医院接受晚期上皮性卵巢癌治疗。
共发现 542 名符合条件的患者。三种预后模型与 FIGO 分期之间的总体性能无差异。Chi 模型的判别性能为中等(c 指数为 0.65 和 0.68),Gerestein 和 Teramukai 模型的性能合理(c 指数在 0.60 到 0.62 之间)。FIGO 分期的 c 指数在 0.54 到 0.62 之间。经过重新校准后,三个模型显示出几乎完美的校准,而 FIGO 分期的校准则合理。
三个预测模型具有普遍适用性和相当好的预测性能,尤其是与 FIGO 分期相比。迄今为止,尚无研究分析这些预后模型对决策和患者预后的影响。因此,这些模型在日常临床实践中的有用性仍有待研究。