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青春期后癌症患者的卵巢衰竭风险:预后模型。

Ovarian failure risk in post-pubertal patients with cancer: a prognostic model.

机构信息

Obstetrics & Gynecology Unit, IRCCS San Raffaele Scientific Institute, Milan, 20132, Italy.

Obstetrics & Gynecology Unit, University of Cagliari, Cagliari, 09124, Italy.

出版信息

Future Oncol. 2022 Jun;18(19):2391-2400. doi: 10.2217/fon-2022-0078. Epub 2022 Apr 26.

Abstract

To develop a predictive model for ovarian failure (OF) after chemotherapy in young post-pubertal women with cancer. Retrospective, monocentric cohort study including 348 patients referring to the Oncofertility 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. Data about menstrual function resumption were available 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). The model predicts the probability of loss of ovarian function at cancer diagnosis and with every change of treatment.

摘要

为了开发一种针对癌症后青春期年轻女性化疗后卵巢衰竭(OF)的预测模型。回顾性单中心队列研究,纳入了 2011 年 8 月至 2020 年 1 月期间向意大利米兰圣拉斐尔医院生育力肿瘤学组就诊的 348 名患者。通过多变量逻辑回归和接收者操作特征分析构建预测模型。184 名患者有月经功能恢复的数据。通过年龄、化疗线数、长春新碱、阿霉素、异环磷酰胺/阿霉素、卡培他滨、阿霉素、博来霉素、长春碱、多柔比星(曲线下面积=0.906;95%CI 0.858-0.954;p=0.0001)的组合确定了 OF 的最佳预测模型。该模型预测了癌症诊断时和每次治疗改变时卵巢功能丧失的概率。

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