Abstract
Aim: To develop a predictive model for ovarian failure (OF) after chemotherapy in young post-pubertal women with cancer. Methods: Retrospective, monocentric cohort study including 348 patients referring to theOncofertility Unit of San Raffaele Hospital (Milan, Italy) from August 2011 to January 2020. A predictive model was constructed by multivariate logistic regression and receiver operating characteristic analysis. Results: Data about menstrual function resumption wereavailable for 184 patients. The best predictive model for OF was identified by the combination of age;number of chemotherapy lines;vincristine, adriamycin, ifosphamide/adriamycin, ifosphamide; capecitabine; adriamycin, bleomycine, vinblastine, doxorubicin(area under the curve =0.906; CI 95% 0.858-0.954; p=0.0001). Conclusions: The model predicts the probability of loss of ovarian function at cancer diagnosis and with every change of treatment.
Published Version
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