Prognostic importance of the time interval from surgery to chemotherapy in treatment of ovarian carcinoma.
In a large study on 1,220 patients with ovarian carcinoma in FIGO stages I-IV, the prognostic importance of the time factor for start of postoperative chemotherapy was studied together with other important factors for long-term survival. The patient series was a total geographic material of ovarian carcinoma patients treated during the years 1975-1993. All patients were followed up for 10 years or until death. The 5-year cancer-specific survival rate of the complete series was 50%. Significant and independent prognostic factors with regard to long-term cancer-specific survival were FIGO stage, histology, tumor grade, and completeness of the primary surgery. Special attention was paid to the prognostic importance of the time interval between primary surgery and the first course of chemotherapy. Patient groups with intervals shorter or longer than the median value were compared. In early-stage disease, no significant difference was noted. In advanced and bulky disease, an interval longer than the median value seemed to be beneficial compared with a shorter interval. However, after correction for other prognostic factors, the interval was not a significant factor (P = 0.647) with regard to the cancer-specific survival rate. Therefore, the time factor should not be an important argument for how to best organize the gynecologic oncology service.
Sorbe
B
B
Department of Gynecological Oncology, Orebro University Hospital, SE-701 85 Orebro, Sweden. bengt.sorbe@orebroll.se
D000971:Antineoplastic Combined Chemotherapy Protocols / Q000008:administration & dosage* / Q000627:therapeutic use*; D002277:Carcinoma / Q000188:drug therapy* / Q000473:pathology / Q000601:surgery*; D004334:Drug Administration Schedule; D005260:Female; D005500:Follow-Up Studies; D006801:Humans; D009367:Neoplasm Staging; D010051:Ovarian Neoplasms / Q000188:drug therapy* / Q000473:pathology / Q000601:surgery*; D011379:Prognosis; D012307:Risk Factors; D016019:Survival Analysis; D013997:Time Factors