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Risk factors for and predictive nomogram of overall survival in adult patients with craniopharyngiomas: A SEER population-based study

Studies with relatively large sample size as well as long-term follow-up focusing on adult craniopharyngioma (CP) patients are still lacking. We attempted to identify independent prognostic factors and establish a nomogram model to estimate survival rates for adult CP patients. The Surveillance, Epi...

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Autores principales: Wu, Yong, Xu, Bo, Hu, Sheng, Shao, Bi-Bo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9239608/
https://www.ncbi.nlm.nih.gov/pubmed/35777048
http://dx.doi.org/10.1097/MD.0000000000029777
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author Wu, Yong
Xu, Bo
Hu, Sheng
Shao, Bi-Bo
author_facet Wu, Yong
Xu, Bo
Hu, Sheng
Shao, Bi-Bo
author_sort Wu, Yong
collection PubMed
description Studies with relatively large sample size as well as long-term follow-up focusing on adult craniopharyngioma (CP) patients are still lacking. We attempted to identify independent prognostic factors and establish a nomogram model to estimate survival rates for adult CP patients. The Surveillance, Epidemiology, and End Results database was used to obtain data on patients with CP. Univariable and multivariable Cox analyses were utilized to identify the prognostic factors of adult CP patients. A survival prediction model was constructed and its predictive performance was also assessed. A total of 991 patients (695 in training group and 296 in validation group) were eligible for final inclusion. Multivariate Cox analysis presented that age at diagnosis, marital status, race, tumor size, and surgery type were statistically significant prognostic factors for overall survival (all P < .05). A graphical predicting nomogram model was developed to calculate the predicted patients’ survival probabilities at 1, 2, 5, and 10 years. The concordance indexes were 0.708 ± 0.019 and 0.750 ± 0.025 for the training and validation samples, respectively, demonstrating favorable discrimination abilities. Similarly, the time-dependent area under curve also showed overall satisfactory discrimination ability. Favorable consistencies between the predicted and actual survival were presented according to the calibration curves. An easy-to-use nomogram, being proven to be with reliable discrimination ability and accuracy, was established to help predict overall survival for adult patients with CP using the identified significant prognostic factors.
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spelling pubmed-92396082022-06-30 Risk factors for and predictive nomogram of overall survival in adult patients with craniopharyngiomas: A SEER population-based study Wu, Yong Xu, Bo Hu, Sheng Shao, Bi-Bo Medicine (Baltimore) Research Article Studies with relatively large sample size as well as long-term follow-up focusing on adult craniopharyngioma (CP) patients are still lacking. We attempted to identify independent prognostic factors and establish a nomogram model to estimate survival rates for adult CP patients. The Surveillance, Epidemiology, and End Results database was used to obtain data on patients with CP. Univariable and multivariable Cox analyses were utilized to identify the prognostic factors of adult CP patients. A survival prediction model was constructed and its predictive performance was also assessed. A total of 991 patients (695 in training group and 296 in validation group) were eligible for final inclusion. Multivariate Cox analysis presented that age at diagnosis, marital status, race, tumor size, and surgery type were statistically significant prognostic factors for overall survival (all P < .05). A graphical predicting nomogram model was developed to calculate the predicted patients’ survival probabilities at 1, 2, 5, and 10 years. The concordance indexes were 0.708 ± 0.019 and 0.750 ± 0.025 for the training and validation samples, respectively, demonstrating favorable discrimination abilities. Similarly, the time-dependent area under curve also showed overall satisfactory discrimination ability. Favorable consistencies between the predicted and actual survival were presented according to the calibration curves. An easy-to-use nomogram, being proven to be with reliable discrimination ability and accuracy, was established to help predict overall survival for adult patients with CP using the identified significant prognostic factors. Lippincott Williams & Wilkins 2022-06-30 /pmc/articles/PMC9239608/ /pubmed/35777048 http://dx.doi.org/10.1097/MD.0000000000029777 Text en Copyright © 2022 the Author(s). Published by Wolters Kluwer Health, Inc. https://creativecommons.org/licenses/by-nc/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial License 4.0 (CCBY-NC) (https://creativecommons.org/licenses/by-nc/4.0/) , where it is permissible to download, share, remix, transform, and buildup the work provided it is properly cited. The work cannot be used commercially without permission from the journal.
spellingShingle Research Article
Wu, Yong
Xu, Bo
Hu, Sheng
Shao, Bi-Bo
Risk factors for and predictive nomogram of overall survival in adult patients with craniopharyngiomas: A SEER population-based study
title Risk factors for and predictive nomogram of overall survival in adult patients with craniopharyngiomas: A SEER population-based study
title_full Risk factors for and predictive nomogram of overall survival in adult patients with craniopharyngiomas: A SEER population-based study
title_fullStr Risk factors for and predictive nomogram of overall survival in adult patients with craniopharyngiomas: A SEER population-based study
title_full_unstemmed Risk factors for and predictive nomogram of overall survival in adult patients with craniopharyngiomas: A SEER population-based study
title_short Risk factors for and predictive nomogram of overall survival in adult patients with craniopharyngiomas: A SEER population-based study
title_sort risk factors for and predictive nomogram of overall survival in adult patients with craniopharyngiomas: a seer population-based study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9239608/
https://www.ncbi.nlm.nih.gov/pubmed/35777048
http://dx.doi.org/10.1097/MD.0000000000029777
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