Nomograms for Predicting Overall Survival Among Patients with Craniopharyngiomas at Initial Diagnosis: A SEER Population-Based Analysis

Background: Craniopharyngiomas (CPs) are relatively rare benign tumor located in the central nervous system (CNS). This study investigates the related risk factors of survival of craniopharyngiomas and develops a simple but detailed method predicting prognosis based on the Surveillance, Epidemiology...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:International journal of general medicine 2021-01, Vol.14, p.3517-3527
Hauptverfasser: Teng, Haibo, Liu, Zhiyong, Yan, Ouying, He, Wenbo, Jie, Danyang, Qie, Yuanwei, Xu, Jianguo
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:Background: Craniopharyngiomas (CPs) are relatively rare benign tumor located in the central nervous system (CNS). This study investigates the related risk factors of survival of craniopharyngiomas and develops a simple but detailed method predicting prognosis based on the Surveillance, Epidemiology, and End Results (SEER) database in order to improve the clinic management of CPs. Methods: Between 2004 and 2017, 1213 patients diagnosed with craniopharyngiomas registered at the program and were included in the SEER-21 registry database. Overall survival (OS) curves were plotted with the Kaplan-Meier method and significance was determined by Log rank test. Single- and multiple-factor regression analyses were made using Cox proportional hazards model to identify independent predictors related to OS. Subsequently, we developed a nomogram with those factors to predict 3-, 5- and 10-year OS of craniopharyngiomas patients. Results: We identified 1213 patients with craniopharyngioma. The OS rates at 3, 5, and 10 years after diagnosis were 89.1%, 86.2%, and 83%. Age, ethnicity, tumor size and radiation therapy were confirmed to be predictors correlating with OS at initial diagnosis. In multivariate analysis, we found that younger age (P
ISSN:1178-7074
1178-7074
DOI:10.2147/IJGM.S320643