Nomogram model and risk score predicting overall survival and guiding clinical decision in patients with Hodgkin’s lymphoma: an observational study using SEER population-based data

Introduction This study developed a prognostic nomogram of Hodgkin lymphoma (HL) for purpose of discussing independent risk factors for HL patients with Surveillance, Epidemiology and End Results (SEER) database.Methods We collected data of HL patients from 2010 to 2015 from the SEER database and di...

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Main Authors: Yue Yang, Shang Li, Xiao Zhu, Yi Kong, Mingtao Zhang, Xiangping Liang, Zherui Zhang, Shuzhen Tan, Yingqi Li, Yueyuan Zhong, Yingqi Shao, Jiayi Xu, Zesong Li
Format: Article
Language:English
Published: BMJ Publishing Group 2022-06-01
Series:BMJ Open
Online Access:https://bmjopen.bmj.com/content/12/6/e055524.full
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author Yue Yang
Shang Li
Xiao Zhu
Yi Kong
Mingtao Zhang
Xiangping Liang
Zherui Zhang
Shuzhen Tan
Yingqi Li
Yueyuan Zhong
Yingqi Shao
Jiayi Xu
Zesong Li
author_facet Yue Yang
Shang Li
Xiao Zhu
Yi Kong
Mingtao Zhang
Xiangping Liang
Zherui Zhang
Shuzhen Tan
Yingqi Li
Yueyuan Zhong
Yingqi Shao
Jiayi Xu
Zesong Li
author_sort Yue Yang
collection DOAJ
description Introduction This study developed a prognostic nomogram of Hodgkin lymphoma (HL) for purpose of discussing independent risk factors for HL patients with Surveillance, Epidemiology and End Results (SEER) database.Methods We collected data of HL patients from 2010 to 2015 from the SEER database and divided it into two cohorts: the training and the verification cohort. Then the univariate and the multivariate Cox regression analyses were conducted in the training, the verification as well as the total cohort, after which the intersection of variables with statistical significance was taken as independent risk factors to establish the nomogram. The predictive ability of the nomogram was validated by the Concordance Index. Additionally, the calibration curve and receiver operating characteristic curve were implemented to evaluate the accuracy and discrimination. Finally, we obtained 1-year, 3-year and 5-year survival rates of HL patients.Results 10 912 patients were eligible for the study. We discovered that Derived American Joint Committee on Cancer (AJCC) Stage Group, lymphoma subtype, radiotherapy and chemotherapy were four independent risk factors affecting the prognosis of HL patients. The 1-year, 3-year and 5-year survival rates for high-risk patients were 85.4%, 79.9% and 76.0%, respectively. It was confirmed that patients with stage I or II had a better prognosis. Radiotherapy and chemotherapy had a positive impact on HL outcomes. However, patients with lymphocyte-depleted HL were of poor prognosis.Conclusions The nomogram we constructed could better predict the prognosis of patients with HL. Patients with HL had good long-term outcomes but novel therapies are still in need for fewer complications.
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spelling doaj-art-5bc5e4f3894d47e8a2ed52b43c90ba3b2025-01-24T14:40:13ZengBMJ Publishing GroupBMJ Open2044-60552022-06-0112610.1136/bmjopen-2021-055524Nomogram model and risk score predicting overall survival and guiding clinical decision in patients with Hodgkin’s lymphoma: an observational study using SEER population-based dataYue Yang0Shang Li1Xiao Zhu2Yi Kong3Mingtao Zhang4Xiangping Liang5Zherui Zhang6Shuzhen Tan7Yingqi Li8Yueyuan Zhong9Yingqi Shao10Jiayi Xu11Zesong Li12Computational Oncology Laboratory, Guangdong Medical University, Zhanjiang, People`s Republic of ChinaCancer and Stem Cell Biology Program, Duke-NUS Medical School, Singapore1 Department of Transplantation, The Third Xiangya Hospital of Central South University, Changsha, Hunan, ChinaComputational Oncology Laboratory, Guangdong Medical University, Zhanjiang, People`s Republic of ChinaDepartment of Neonatology, Hebei PetroChina Central Hospital, Langfang, ChinaSchool of Laboratory Medicine, Hangzhou Medical College, Hangzhou, People`s Republic of ChinaSchool of Laboratory and Biotechnology, Southern Medical University, Guangzhou, People`s Republic of ChinaDepartment of Dermatology, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, People`s Republic of ChinaComputational Oncology Laboratory, Guangdong Medical University, Zhanjiang, People`s Republic of ChinaComputational Oncology Laboratory, Guangdong Medical University, Zhanjiang, People`s Republic of ChinaComputational Oncology Laboratory, Guangdong Medical University, Zhanjiang, People`s Republic of ChinaSchool of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, People`s Republic of ChinaGuangdong Provincial Key Laboratory of Systems Biology and Synthetic Biology for Urogenital Tumors, Department of Urology, The First Affiliated Hospital of Shenzhen University, Shenzhen Second People`s Hospital (Shenzhen Institute of Translational Medicine), Shenzhen, People`s Republic of ChinaIntroduction This study developed a prognostic nomogram of Hodgkin lymphoma (HL) for purpose of discussing independent risk factors for HL patients with Surveillance, Epidemiology and End Results (SEER) database.Methods We collected data of HL patients from 2010 to 2015 from the SEER database and divided it into two cohorts: the training and the verification cohort. Then the univariate and the multivariate Cox regression analyses were conducted in the training, the verification as well as the total cohort, after which the intersection of variables with statistical significance was taken as independent risk factors to establish the nomogram. The predictive ability of the nomogram was validated by the Concordance Index. Additionally, the calibration curve and receiver operating characteristic curve were implemented to evaluate the accuracy and discrimination. Finally, we obtained 1-year, 3-year and 5-year survival rates of HL patients.Results 10 912 patients were eligible for the study. We discovered that Derived American Joint Committee on Cancer (AJCC) Stage Group, lymphoma subtype, radiotherapy and chemotherapy were four independent risk factors affecting the prognosis of HL patients. The 1-year, 3-year and 5-year survival rates for high-risk patients were 85.4%, 79.9% and 76.0%, respectively. It was confirmed that patients with stage I or II had a better prognosis. Radiotherapy and chemotherapy had a positive impact on HL outcomes. However, patients with lymphocyte-depleted HL were of poor prognosis.Conclusions The nomogram we constructed could better predict the prognosis of patients with HL. Patients with HL had good long-term outcomes but novel therapies are still in need for fewer complications.https://bmjopen.bmj.com/content/12/6/e055524.full
spellingShingle Yue Yang
Shang Li
Xiao Zhu
Yi Kong
Mingtao Zhang
Xiangping Liang
Zherui Zhang
Shuzhen Tan
Yingqi Li
Yueyuan Zhong
Yingqi Shao
Jiayi Xu
Zesong Li
Nomogram model and risk score predicting overall survival and guiding clinical decision in patients with Hodgkin’s lymphoma: an observational study using SEER population-based data
BMJ Open
title Nomogram model and risk score predicting overall survival and guiding clinical decision in patients with Hodgkin’s lymphoma: an observational study using SEER population-based data
title_full Nomogram model and risk score predicting overall survival and guiding clinical decision in patients with Hodgkin’s lymphoma: an observational study using SEER population-based data
title_fullStr Nomogram model and risk score predicting overall survival and guiding clinical decision in patients with Hodgkin’s lymphoma: an observational study using SEER population-based data
title_full_unstemmed Nomogram model and risk score predicting overall survival and guiding clinical decision in patients with Hodgkin’s lymphoma: an observational study using SEER population-based data
title_short Nomogram model and risk score predicting overall survival and guiding clinical decision in patients with Hodgkin’s lymphoma: an observational study using SEER population-based data
title_sort nomogram model and risk score predicting overall survival and guiding clinical decision in patients with hodgkin s lymphoma an observational study using seer population based data
url https://bmjopen.bmj.com/content/12/6/e055524.full
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