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Development and validation of prognostic nomogram for T(1-3)N(0)M(0) non-small cell lung cancer after curative resection
BACKGROUND: Radical resection plus lymph node dissection is a common treatment for patients with T(1-3)N(0)M(0) non-small cell lung cancer (NSCLC). Few models predicted the survival outcomes of these patients. This study aimed to developed a nomogram for predicting their overall survival (OS). MATER...
Autores principales: | , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10391852/ https://www.ncbi.nlm.nih.gov/pubmed/37525124 http://dx.doi.org/10.1186/s12885-023-11158-w |
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author | Mei, Weijian Yao, Wang Song, Zhengbo Jiao, Wenjie Zhu, Lianxin Huang, Qinghua An, Chaolun Shi, Jianguang Yu, Guiping Sun, Pingli Zhang, Yinbin Shen, Jianfei Xu, Chunwei Yang, Han Wang, Qian Zhu, Zhihua |
author_facet | Mei, Weijian Yao, Wang Song, Zhengbo Jiao, Wenjie Zhu, Lianxin Huang, Qinghua An, Chaolun Shi, Jianguang Yu, Guiping Sun, Pingli Zhang, Yinbin Shen, Jianfei Xu, Chunwei Yang, Han Wang, Qian Zhu, Zhihua |
author_sort | Mei, Weijian |
collection | PubMed |
description | BACKGROUND: Radical resection plus lymph node dissection is a common treatment for patients with T(1-3)N(0)M(0) non-small cell lung cancer (NSCLC). Few models predicted the survival outcomes of these patients. This study aimed to developed a nomogram for predicting their overall survival (OS). MATERIALS AND METHODS: This study involved 3002 patients with T(1-3)N(0)M(0) NSCLC after curative resection between January 1999 and October 2013. 1525 Patients from Sun Yat-sen University Cancer Center were randomly allocated to training cohort and internal validation cohort in a ratio of 7:3. 1477 patients from ten institutions were recruited as external validation cohort. A nomogram was constructed based on the training cohort and validated by internal and external validation cohort to predict the OS of these patients. The accuracy and practicability were tested by Harrell's C-indexes, calibration plots and decision curve analyses (DCA). RESULTS: Age, sex, histological classification, pathological T stage, and HI standard were independent factors for OS and were included in our nomogram. The C-index of the nomogram for OS estimates were 0.671 (95% CI, 0.637–0.705),0.632 (95% CI, 0.581–0.683), and 0.645 (95% CI, 0.617–0.673) in the training cohorts, internal validation cohorts, and external validation cohort, respectively. The calibration plots and DCA for predictions of OS were in excellent agreement. An online version of the nomogram was built for convenient clinical practice. CONCLUSIONS: Our nomogram can predict the OS of patients with T(1-3)N(0)M(0) NSCLC after curative resection. The online version of our nomogram offer opportunities for fast personalized risk stratification and prognosis prediction in clinical practice. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12885-023-11158-w. |
format | Online Article Text |
id | pubmed-10391852 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-103918522023-08-02 Development and validation of prognostic nomogram for T(1-3)N(0)M(0) non-small cell lung cancer after curative resection Mei, Weijian Yao, Wang Song, Zhengbo Jiao, Wenjie Zhu, Lianxin Huang, Qinghua An, Chaolun Shi, Jianguang Yu, Guiping Sun, Pingli Zhang, Yinbin Shen, Jianfei Xu, Chunwei Yang, Han Wang, Qian Zhu, Zhihua BMC Cancer Research BACKGROUND: Radical resection plus lymph node dissection is a common treatment for patients with T(1-3)N(0)M(0) non-small cell lung cancer (NSCLC). Few models predicted the survival outcomes of these patients. This study aimed to developed a nomogram for predicting their overall survival (OS). MATERIALS AND METHODS: This study involved 3002 patients with T(1-3)N(0)M(0) NSCLC after curative resection between January 1999 and October 2013. 1525 Patients from Sun Yat-sen University Cancer Center were randomly allocated to training cohort and internal validation cohort in a ratio of 7:3. 1477 patients from ten institutions were recruited as external validation cohort. A nomogram was constructed based on the training cohort and validated by internal and external validation cohort to predict the OS of these patients. The accuracy and practicability were tested by Harrell's C-indexes, calibration plots and decision curve analyses (DCA). RESULTS: Age, sex, histological classification, pathological T stage, and HI standard were independent factors for OS and were included in our nomogram. The C-index of the nomogram for OS estimates were 0.671 (95% CI, 0.637–0.705),0.632 (95% CI, 0.581–0.683), and 0.645 (95% CI, 0.617–0.673) in the training cohorts, internal validation cohorts, and external validation cohort, respectively. The calibration plots and DCA for predictions of OS were in excellent agreement. An online version of the nomogram was built for convenient clinical practice. CONCLUSIONS: Our nomogram can predict the OS of patients with T(1-3)N(0)M(0) NSCLC after curative resection. The online version of our nomogram offer opportunities for fast personalized risk stratification and prognosis prediction in clinical practice. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12885-023-11158-w. BioMed Central 2023-07-31 /pmc/articles/PMC10391852/ /pubmed/37525124 http://dx.doi.org/10.1186/s12885-023-11158-w Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This 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/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://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 Mei, Weijian Yao, Wang Song, Zhengbo Jiao, Wenjie Zhu, Lianxin Huang, Qinghua An, Chaolun Shi, Jianguang Yu, Guiping Sun, Pingli Zhang, Yinbin Shen, Jianfei Xu, Chunwei Yang, Han Wang, Qian Zhu, Zhihua Development and validation of prognostic nomogram for T(1-3)N(0)M(0) non-small cell lung cancer after curative resection |
title | Development and validation of prognostic nomogram for T(1-3)N(0)M(0) non-small cell lung cancer after curative resection |
title_full | Development and validation of prognostic nomogram for T(1-3)N(0)M(0) non-small cell lung cancer after curative resection |
title_fullStr | Development and validation of prognostic nomogram for T(1-3)N(0)M(0) non-small cell lung cancer after curative resection |
title_full_unstemmed | Development and validation of prognostic nomogram for T(1-3)N(0)M(0) non-small cell lung cancer after curative resection |
title_short | Development and validation of prognostic nomogram for T(1-3)N(0)M(0) non-small cell lung cancer after curative resection |
title_sort | development and validation of prognostic nomogram for t(1-3)n(0)m(0) non-small cell lung cancer after curative resection |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10391852/ https://www.ncbi.nlm.nih.gov/pubmed/37525124 http://dx.doi.org/10.1186/s12885-023-11158-w |
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