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A nomogramfor predicting overall survival in patients with low-grade endometrial stromal sarcoma: A population-based analysis

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Cancer Communications 2020年第7期40卷 301-312页

作者： Jie Wu Huibo Zhang Lan Li Mengxue Hu Liang Chen Bin Xu Qibin Song Cancer Center Renmin Hospital of Wuhan UniversityWuhanHubei 430060P.R.China

Background:Low-grade endometrial stromal sarcoma(LG-ESS)is a rare tumor that lacks a prognostic prediction *** study aimed to develop a nomogram to predict overall survival of LG-ESS ***:A total of 1172 patients confirmed to have LG-ESS between 1988 and 2015 were selected from the Surveillance,Epidemiology and End Results(SEER)*** were further divided into a training cohort and a validation *** Akaike information criterion was used to select variables for the *** discrimination and calibration of the nomogram were evaluated using concordance index(C-index),area under time-dependent receiver operating characteristic curve(time-dependent AUC),and calibration *** net benefits of the nomogram at different threshold probabilities were quantified and compared with those of the International Federation of Gynecology and Obstetrics(figo)criteria-based tumor staging using decision curve analysis(DCA).Net reclassification index(NRI)and integrated discrimination improvement(IDI)were also used to compare the nomogram’s clinical utilitywith that of the figo criteria-based tumor *** risk stratifications of the nomogram and the figo criteria-based tumor staging were ***:Seven variables were selected to establish the nomogram for *** C-index(0.814 for the training cohort and 0.837 for the validation cohort)and the time-dependent AUC(>0.7)indicated satisfactory discriminative ability of the *** calibration plots showed favorable consistency between the prediction of the nomogram and actual observations in both the training and validation *** NRI values(training cohort:0.271 for 5-year and 0.433 for 10-year OS prediction;validation cohort:0.310 for 5-year and 0.383 for 10-year OS prediction)and IDI(training cohort:0.146 for 5-year and 0.185 for 10-year OS prediction;validation cohort:0.177 for 5-year and 0.191 for 10-year OS prediction)indicated that the established nomogram performed sign

关键词： figo criteria-based tumor staging Low-grade endometrial stromal sarcoma(LG-ESS) nomogram overall survival prognostic model risk stratification

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