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Nomogram for individually predicting overall survival in rectal neuroendocrine tumours

BACKGROUND: This study aimed to develop a nomogram that predicts the overall survival (OS) of rectal neuroendocrine tumours (NETs). METHODS: We retrospectively analysed 310 patients with rectal neuroendocrine tumours in 5 hospitals in southern China. All of the patients were assigned to the training...

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Autores principales: Feng, Xingyu, Wei, Gengzhou, Wang, Wei, Zhang, Yu, Zeng, Yujie, Chen, Minhu, Chen, Ye, Chen, Jie, Zhou, Zhiwei, Li, Yong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7488006/
https://www.ncbi.nlm.nih.gov/pubmed/32907602
http://dx.doi.org/10.1186/s12885-020-07328-9
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author Feng, Xingyu
Wei, Gengzhou
Wang, Wei
Zhang, Yu
Zeng, Yujie
Chen, Minhu
Chen, Ye
Chen, Jie
Zhou, Zhiwei
Li, Yong
author_facet Feng, Xingyu
Wei, Gengzhou
Wang, Wei
Zhang, Yu
Zeng, Yujie
Chen, Minhu
Chen, Ye
Chen, Jie
Zhou, Zhiwei
Li, Yong
author_sort Feng, Xingyu
collection PubMed
description BACKGROUND: This study aimed to develop a nomogram that predicts the overall survival (OS) of rectal neuroendocrine tumours (NETs). METHODS: We retrospectively analysed 310 patients with rectal neuroendocrine tumours in 5 hospitals in southern China. All of the patients were assigned to the training set. A multivariable analysis using Cox proportional hazards regression was performed using the training set, and a nomogram was constructed. It was validated on a dataset obtained from the Surveillance, Epidemiology, and End Result (SEER) database of America (n = 547). RESULTS: In the training set, the nomogram exhibited improved discrimination power compared with the WHO grade guidelines (Herrell’s C-index, 0.872 vs 0.794; p < 0.001) and was also better than the seventh AJCC TNM classification (Herrell’s C-index, 0.872 vs 0.817; p < 0.001). In the SEER validation dataset, the discrimination was also excellent (C-index, 0.648 vs 0.583, p < 0.001 and 0.648 vs 0.603, p = 0.016, respectively, compared with G grade and TNM classification). Calibration of the nomogram predicted individual survival corresponding closely with the actual survival. CONCLUSIONS: We developed a nomogram predicting 1- and 3-year OS of patients with rectal neuroendocrine tumours. Validation revealed excellent discrimination and calibration, suggesting good clinical utility.
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spelling pubmed-74880062020-09-16 Nomogram for individually predicting overall survival in rectal neuroendocrine tumours Feng, Xingyu Wei, Gengzhou Wang, Wei Zhang, Yu Zeng, Yujie Chen, Minhu Chen, Ye Chen, Jie Zhou, Zhiwei Li, Yong BMC Cancer Research Article BACKGROUND: This study aimed to develop a nomogram that predicts the overall survival (OS) of rectal neuroendocrine tumours (NETs). METHODS: We retrospectively analysed 310 patients with rectal neuroendocrine tumours in 5 hospitals in southern China. All of the patients were assigned to the training set. A multivariable analysis using Cox proportional hazards regression was performed using the training set, and a nomogram was constructed. It was validated on a dataset obtained from the Surveillance, Epidemiology, and End Result (SEER) database of America (n = 547). RESULTS: In the training set, the nomogram exhibited improved discrimination power compared with the WHO grade guidelines (Herrell’s C-index, 0.872 vs 0.794; p < 0.001) and was also better than the seventh AJCC TNM classification (Herrell’s C-index, 0.872 vs 0.817; p < 0.001). In the SEER validation dataset, the discrimination was also excellent (C-index, 0.648 vs 0.583, p < 0.001 and 0.648 vs 0.603, p = 0.016, respectively, compared with G grade and TNM classification). Calibration of the nomogram predicted individual survival corresponding closely with the actual survival. CONCLUSIONS: We developed a nomogram predicting 1- and 3-year OS of patients with rectal neuroendocrine tumours. Validation revealed excellent discrimination and calibration, suggesting good clinical utility. BioMed Central 2020-09-09 /pmc/articles/PMC7488006/ /pubmed/32907602 http://dx.doi.org/10.1186/s12885-020-07328-9 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Feng, Xingyu
Wei, Gengzhou
Wang, Wei
Zhang, Yu
Zeng, Yujie
Chen, Minhu
Chen, Ye
Chen, Jie
Zhou, Zhiwei
Li, Yong
Nomogram for individually predicting overall survival in rectal neuroendocrine tumours
title Nomogram for individually predicting overall survival in rectal neuroendocrine tumours
title_full Nomogram for individually predicting overall survival in rectal neuroendocrine tumours
title_fullStr Nomogram for individually predicting overall survival in rectal neuroendocrine tumours
title_full_unstemmed Nomogram for individually predicting overall survival in rectal neuroendocrine tumours
title_short Nomogram for individually predicting overall survival in rectal neuroendocrine tumours
title_sort nomogram for individually predicting overall survival in rectal neuroendocrine tumours
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7488006/
https://www.ncbi.nlm.nih.gov/pubmed/32907602
http://dx.doi.org/10.1186/s12885-020-07328-9
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