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- W4281694609 abstract "Abstract Background : The objective of this research was to develop a nomogram for predicting the outcome of giant cell carcinoma of the lung (GCCL). Methods : 436 cases of GCCL were obtained from the Surveillance, Epidemiology, and End Results (SEER) database. Cases were divided into two cohort: training and validation cohort. Prognosis factors of nomogram were chosen using Cox regression model. The nomogram constructed with the training cohort was subsequently validated by the validation cohort. Harrell's concordance index (C-index), the decision curve analysis (DCA) and calibration curves were used to validate the performance of the nomogram. Results : The survival curves of the OS and cancer-specific survival（CSS）shows that 1-year and 5-year OS of all enrolled cases were 0.316 and 0.163, 1-year and 5-year CSS were 0.407 and 0.262. Age, marital status, site, T stage, N stage, M stage, surgery, radiation therapy, and chemotherapy were used to create the nomogram as independent prognostic variables. The C-index value were 0.774 and 0.765 for the training and validation cohort. The predicted survival probability and the actual survival probability showed a great consistency in calibration curves. The DCA revealed the nomogram had good clinical utility. Conclusions : A nomogram was developed to predict the outcome of patients with GCCL and the validation shows its excellent performance." @default.
- W4281694609 created "2022-06-13" @default.
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- W4281694609 date "2022-05-31" @default.
- W4281694609 modified "2023-09-30" @default.
- W4281694609 title "Development and validation of a novel prognostic nomogram for patients with giant cell carcinoma of the lung: a population-based study" @default.
- W4281694609 doi "https://doi.org/10.21203/rs.3.rs-1622800/v1" @default.
- W4281694609 hasPublicationYear "2022" @default.
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