A prognostic model for ovarian cancer

Clark, T G; Stewart, Michael; Altman, D G; Gabra, Hani; Smyth, John F.

doi:10.1038/sj.bjc.6692030

Cited by 91 publications

(116 citation statements)

References 18 publications

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“…Follow-up data were available up until the end of December 2000, by which time 550 (75.9%) had died (Clark et al, 2001). Figure 1 shows data from 10 patients diagnosed in the early 1990s and illustrates how patient profiles in calendar time are converted to time to event Received 6 December 2002; accepted 30 April 2003 (death) data.…”

Section: Illustrative Studies Ovarian Cancer Datamentioning

confidence: 99%

Survival Analysis Part I: Basic concepts and first analyses

et al. 2003

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Section: Illustrative Studies Ovarian Cancer Datamentioning

confidence: 99%

Survival Analysis Part I: Basic concepts and first analyses

et al. 2003

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“…[16][17][18] A limited number of nomograms for survival in ovarian cancer have been proposed previously. 19,20 These nomograms consist of, respectively, nine and six parameters and, as a consequence, are inconvenient to use in daily routine practice. Hence, a simple nomogram for survival in ovarian cancer is desired.…”

Section: Introductionmentioning

confidence: 99%

The prediction of progression‐free and overall survival in women with an advanced stage of epithelial ovarian carcinoma

Gerestein

Eijkemans

Jong

et al. 2009

BJOG

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Objective Prognosis in women with ovarian cancer mainly depends on International Federation of Gynecology and Obstetrics stage and the ability to perform optimal cytoreductive surgery. Since ovarian cancer has a heterogeneous presentation and clinical course, predicting progression-free survival (PFS) and overall survival (OS) in the individual patient is difficult. The objective of this study was to determine predictors of PFS and OS in women with advanced stage epithelial ovarian cancer (EOC) after primary cytoreductive surgery and first-line platinum-based chemotherapy.Design Retrospective observational study.Setting Two teaching hospitals and one university hospital in the south-western part of the Netherlands.Population Women with advanced stage EOC.Methods All women who underwent primary cytoreductive surgery for advanced stage EOC followed by first-line platinumbased chemotherapy between January 1998 and October 2004 were identified. To investigate independent predictors of PFS and OS, a Cox' proportional hazard model was used. Nomograms were generated with the identified predictive parameters.Main outcome measures The primary outcome measure was OS and the secondary outcome measures were response and PFS.Results A total of 118 women entered the study protocol. Median PFS and OS were 15 and 44 months, respectively. Preoperative platelet count (P = 0.007), and residual disease <1 cm (P = 0.004) predicted PFS with a optimism corrected c-statistic of 0.63. Predictive parameters for OS were preoperative haemoglobin serum concentration (P = 0.012), preoperative platelet counts (P = 0.031) and residual disease <1 cm (P = 0.028) with a optimism corrected c-statistic of 0.67.Conclusion PFS could be predicted by postoperative residual disease and preoperative platelet counts, whereas residual disease, preoperative platelet counts and preoperative haemoglobin serum concentration were predictive for OS. The proposed nomograms need to be externally validated.

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“…In the ovarian cancer data set presented previously, a small number of important factors containing little or no missing data were used. The database contains several other factors in which missing data were frequently encountered, and a more definitive analysis (Clark et al, 2001) was able to incorporate these factors, while retaining all patients by applying multiple imputation methods (Van Buuren et al, 1999). Multiple imputation is a framework in which missing data are imputed or replaced with a set of plausible values.…”

Section: Some Covariate Data Are Missing In Our Analysis What Shouldmentioning

confidence: 99%