BACKGROUND: Endometrial carcinoma is a common gynecological malignancy. Stage IV endometrial carcinoma is associated with a high risk of early death; however, there is currently no effective prognostic tool to predict early death in stage IV endometrial cancer. METHODS: Surveillance, Epidemiology, and End Results (SEER) data from patients with stage IV endometrial cancer registered between 2004 and 2015 were used in this study. Important independent prognostic factors were identified by univariate and multivariate logistic regression analyses. A nomogram of all-cause and cancer-specific early deaths was constructed using relevant risk factors such as tumor size, histological grade, histological classification, and treatment (surgery, radiotherapy, chemotherapy). RESULTS: A total of 2,040 patients with stage IV endometrial carcinoma were included in this study. Of these, 299 patients experienced early death (≤3 months) and 282 died from cancer-specific causes. The nomogram of all-cause and cancer-specific early deaths showed good predictive power and clinical practicality with respect to the area under the receiver operating characteristic curve and decision curve analysis. The internal validation of the nomogram revealed a good agreement between predicted early death and actual early death. CONCLUSIONS: We developed a clinically useful nomogram to predict early mortality from stage IV endometrial carcinoma using data from a large cohort. This tool can help clinicians screen high-risk patients and implement individualized treatment regimens.
BACKGROUND: Endometrial carcinoma is a common gynecological malignancy. Stage IV endometrial carcinoma is associated with a high risk of early death; however, there is currently no effective prognostic tool to predict early death in stage IV endometrial cancer. METHODS: Surveillance, Epidemiology, and End Results (SEER) data from patients with stage IV endometrial cancer registered between 2004 and 2015 were used in this study. Important independent prognostic factors were identified by univariate and multivariate logistic regression analyses. A nomogram of all-cause and cancer-specific early deaths was constructed using relevant risk factors such as tumor size, histological grade, histological classification, and treatment (surgery, radiotherapy, chemotherapy). RESULTS: A total of 2,040 patients with stage IV endometrial carcinoma were included in this study. Of these, 299 patients experienced early death (≤3 months) and 282 died from cancer-specific causes. The nomogram of all-cause and cancer-specific early deaths showed good predictive power and clinical practicality with respect to the area under the receiver operating characteristic curve and decision curve analysis. The internal validation of the nomogram revealed a good agreement between predicted early death and actual early death. CONCLUSIONS: We developed a clinically useful nomogram to predict early mortality from stage IV endometrial carcinoma using data from a large cohort. This tool can help clinicians screen high-risk patients and implement individualized treatment regimens.
Authors: A S Felix; T M Brasky; D E Cohn; D G Mutch; W T Creasman; P H Thaker; J L Walker; R G Moore; S B Lele; S R Guntupalli; L S Downs; Ci Nagel; J F Boggess; M L Pearl; O B Ioffe; W Deng; D S Miller; L A Brinton Journal: Int J Cancer Date: 2017-11-06 Impact factor: 7.396
Authors: Xin Wang; Min Mao; Guijun Xu; Feng Lin; Peng Sun; Vladimir P Baklaushev; Vladimir P Chekhonin; Karl Peltzer; Jin Zhang; Chao Zhang Journal: Int J Colorectal Dis Date: 2019-05-15 Impact factor: 2.571
Authors: Giuseppe Vizzielli; Francesco Fanfani; Barbara Costantini; Valerio Gallotta; Giovanni Scambia; Anna Fagotti Journal: J Obstet Gynaecol Res Date: 2012-03-13 Impact factor: 1.730
Authors: Tao Chen; Xiangpeng Zhan; Junfu Du; Xiaoqiang Liu; Wen Deng; Shuaishuai Zhao; Ming Jiang; Yunqiang Xiong; Xiaohai Zhang; Luyao Chen; Bin Fu Journal: Front Surg Date: 2022-03-22