IMR Press / EJGO / Volume 19 / Issue 6 / pii/1998225

European Journal of Gynaecological Oncology (EJGO) is published by IMR Press from Volume 40 Issue 1 (2019). Previous articles were published by another publisher on a subscription basis, and they are hosted by IMR Press on as a courtesy and upon agreement with S.O.G.

Original Research

Prediction of the survival of patients with advanced ovarian cancer according to a risk model based on a scoring system

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1 Department of Ohstetrics & Gynecology, Assaf Harofeh Medical Center, Affiliated with Sackler Faculty of Medicine, Tel Aviv University, Israel
2 Department of Otorhinolaryngology and Head & Neck Surgery, Hadassah Medical Centre, The Hebrew University, Jerusalem and Pepto Laboratories, Science Based Industrial Park, Ness Ziona, Israel
Eur. J. Gynaecol. Oncol. 1998, 19(6), 547–552;
Published: 10 December 1998

Purpose of investigation: The aim of the study was to devise a scoring system based on significantly prognostic parameters which might predict the survival time for each individual patient. Methods: The study group included 40 patients with stage III or IV invasive ovarian cancer, operated on between 1987 and 1994 Different preoperative and intraoperative parameters were examined and their impact on survival was assessed using the Kaplan­Meier method. Survival rates were compared by the log rank test. The parameters, which have been found to be significant pro­gnostic factors, were incorporated into the final risk model, based on a scoring system. The scores were given according to the cut­off point of each prognostic parameter. A correlation coefficient was calculated from the survival curve. representing the combined scores of individual patients versus their survival. Results: From all studied parameters, only gravidity. the stage of ovarian cancer and the preoperative levels of LOH and CA-125 were demonstrated to have a significant impact on survival. On the basis of these four parameters a scoring system was devised The scores were given considering the cut-off level of each parameter: gravidity ≤2 versus >2; stage of the cancer - IIIA, 1118 and stage IIIC versus stage IV; LOH level s 240 versus > 240 U/L; CA-125 ≤100 versus > 100 U/ml. The average of the combined scores representing the four parameters was the final risk factors which was plotted against the survival of each individual patient A correlation coefficient of -0.99 was found. Conclusions: Our data suggest that the survival of each individual patient with advancd ovarian cancer could be predicted quite accurately considering our risk model based on a scoring system which incorporates four preoperative and intraoperative parameters. This scoring system needs to be validated by larger prospective trials.

Ovarian carcinoma
Risk model
Scoring system
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