Abstract
Astrocytoma is a type of adult-type diffuse gliomas that includes diffuse astrocytoma (DA) and anaplastic astrocytoma (AA).However, comprehensive investigations into the risk assessment and prognosis of DA and AA using population-based studies remain noticeably scarce. In this study, we developed two predictive nomograms to evaluate the susceptibility and prognosis associated with DA and AA. The study cohort comprised 3,837 individuals diagnosed with DA or AA between 2010 and 2019 selected from the Surveillance, Epidemiology, and End Results (SEER) database. Independent predictors were identified and used to construct the nomograms for overall death (OD) and cancer-specific death (CSD) rates. The performance of the models was assessed using c-index, calibration curves, and receiver operating characteristic curve (ROC), and the clinical applicability was evaluated using decision curve analysis (DCA). The ROC curves in this study show excellent clinical applicability and predictive power. Notably, the area under the curves (AUCs) of the training and verification queues was higher than 0.80, thereby cementing the models' precision. Additionally, the calibration plots demonstrate that the anticipated mortality rates strikingly match with the measured values.This alignment of figures is sustained in the validation cohort. Furthermore, the decision curve analysis (DCA) corroborates the models' translational potential, reinforcing their relevance within real-world clinical settings. The presented nomograms have not only exhibited good predictive performance but also showcased pragmatic clinical utility in prognosticating patient outcomes. Significantly, which will undoubtedly serve as a valuable asset for oncologists, facilitating informed treatment decisions and facilitating meticulous follow-up planning.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.