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Nomogram for predicting 5-year disease-specific mortality after primary surgery for epithelial ovarian cancer

Barlin, Joyce N ; Yu, Changhong ; Hill, Emily K ; Zivanovic, Oliver ; Kolev, Valentin ; Levine, Douglas A ; Sonoda, Yukio ; Abu-Rustum, Nadeem R ; Huh, Jae ; Barakat, Richard R ; Kattan, Michael W ; Chi, Dennis S

Gynecologic oncology, 2012-04, Vol.125 (1), p.25-30 [Periódico revisado por pares]

United States: Elsevier Inc

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Título:
Nomogram for predicting 5-year disease-specific mortality after primary surgery for epithelial ovarian cancer
Autor: Barlin, Joyce N ; Yu, Changhong ; Hill, Emily K ; Zivanovic, Oliver ; Kolev, Valentin ; Levine, Douglas A ; Sonoda, Yukio ; Abu-Rustum, Nadeem R ; Huh, Jae ; Barakat, Richard R ; Kattan, Michael W ; Chi, Dennis S
Assuntos: Adult ; Aged ; Aged, 80 and over ; Antineoplastic Agents - therapeutic use ; Bridged-Ring Compounds - therapeutic use ; Carcinoma, Ovarian Epithelial ; Chemotherapy, Adjuvant ; Cytoreductive surgery ; Female ; Hematology, Oncology and Palliative Medicine ; Humans ; Kaplan-Meier Estimate ; Middle Aged ; Neoplasm Staging ; Neoplasms, Glandular and Epithelial - drug therapy ; Neoplasms, Glandular and Epithelial - mortality ; Neoplasms, Glandular and Epithelial - pathology ; Neoplasms, Glandular and Epithelial - surgery ; Nomogram ; Nomograms ; Obstetrics and Gynecology ; Ovarian carcinoma ; Ovarian Neoplasms - drug therapy ; Ovarian Neoplasms - mortality ; Ovarian Neoplasms - pathology ; Ovarian Neoplasms - surgery ; Proportional Hazards Models ; Survival ; Taxoids - therapeutic use ; Treatment Outcome
É parte de: Gynecologic oncology, 2012-04, Vol.125 (1), p.25-30
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Descrição: Abstract Objective To develop a nomogram based on established prognostic factors to predict the probability of 5-year disease-specific mortality after primary surgery for patients with all stages of epithelial ovarian cancer (EOC) and compare the predictive accuracy with the currently used International Federation of Gynecology and Obstetrics (FIGO) staging system. Methods Using a prospectively kept database, we identified all patients with EOC who had their primary surgery at our institution between January 1996 and December 2004. Disease-specific mortality was estimated using the Kaplan–Meier method. Twenty-eight clinical and pathologic factors were analyzed. Significant factors on univariate analysis were included in the Cox proportional hazards regression model, which identified factors utilized in the nomogram. The concordance index (CI) was used as an accuracy measure, with bootstrapping to correct for optimistic bias. Calibration plots were constructed. Results A total of 478 patients with EOC were included. The most predictive nomogram was constructed using seven variables: age, FIGO stage, residual disease status, preoperative albumin level, histology, family history suggestive of hereditary breast/ovarian cancer (HBOC) syndrome, and American Society of Anesthesiologists (ASA) status. This nomogram was internally validated using bootstrapping and shown to have excellent calibration with a bootstrap-corrected CI of 0.714. The CI for FIGO staging alone was significantly less at 0.62 ( P = 0.002). Conclusion We have developed an all-stage nomogram to predict 5-year disease-specific mortality after primary surgery for epithelial ovarian cancer. This tool is more accurate than FIGO staging and should be useful for patient counseling, clinical trial eligibility, postoperative management, and follow-up.
Editor: United States: Elsevier Inc
Idioma: Inglês

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Nomogram for predicting 5-year disease-specific mortality after primary surgery for epithelial ovarian cancer

Barlin, Joyce N ; Yu, Changhong ; Hill, Emily K ; Zivanovic, Oliver ; Kolev, Valentin ; Levine, Douglas A ; Sonoda, Yukio ; Abu-Rustum, Nadeem R ; Huh, Jae ; Barakat, Richard R ; Kattan, Michael W ; Chi, Dennis S

United States: Elsevier Inc

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