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Cohort Profile: Chinese Cervical Cancer Clinical Study

Cervical cancer is the fourth most common cancer worldwide, but its incidence varies greatly in different countries. Regardless of incidence or mortality, the burden of cervical cancer in China accounts for approximately 18% of the global burden. The Chinese Cervical Cancer Clinical Study is a hospi...

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Autores principales: Zhang, Xi-Ru, Li, Zhi-Qiang, Sun, Li-Xin, Liu, Ping, Li, Zhi-Hao, Li, Peng-Fei, Zhao, Hong-Wei, Chen, Bi-Liang, Ji, Mei, Wang, Li, Kang, Shan, Lang, Jing-He, Mao, Chen, Chen, Chun-Lin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8250135/
https://www.ncbi.nlm.nih.gov/pubmed/34222018
http://dx.doi.org/10.3389/fonc.2021.690275
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author Zhang, Xi-Ru
Li, Zhi-Qiang
Sun, Li-Xin
Liu, Ping
Li, Zhi-Hao
Li, Peng-Fei
Zhao, Hong-Wei
Chen, Bi-Liang
Ji, Mei
Wang, Li
Kang, Shan
Lang, Jing-He
Mao, Chen
Chen, Chun-Lin
author_facet Zhang, Xi-Ru
Li, Zhi-Qiang
Sun, Li-Xin
Liu, Ping
Li, Zhi-Hao
Li, Peng-Fei
Zhao, Hong-Wei
Chen, Bi-Liang
Ji, Mei
Wang, Li
Kang, Shan
Lang, Jing-He
Mao, Chen
Chen, Chun-Lin
author_sort Zhang, Xi-Ru
collection PubMed
description Cervical cancer is the fourth most common cancer worldwide, but its incidence varies greatly in different countries. Regardless of incidence or mortality, the burden of cervical cancer in China accounts for approximately 18% of the global burden. The Chinese Cervical Cancer Clinical Study is a hospital-based multicenter open cohort. The major aims of this study include (i) to explore the associations of therapeutic strategies with complications as well as mid- and long-term clinical outcomes; (ii) to widely assess the factors which may have an influence on the prognosis of cervical cancer and then guide the treatment options, and to estimate prognosis using a prediction model for precise post-treatment care and follow-up; (iii) to develop a knowledge base of cervical clinical auxiliary diagnosis and prognosis prediction using artificial intelligence and machine learning approaches; and (iv) to roughly map the burden of cervical cancer in different districts and monitoring the trend in incidence of cervical cancer to potentially inform prevention and control strategies. Patients eligible for inclusion were those diagnosed with cervical cancer, whether during an outpatient visit or hospital admission, at 47 different types of medical institutions in 19 cities of 11 provinces across mainland China between 2004 and 2018. In a total, 63 926 patients with cervical cancer were enrolled in the cohort. Since the project inception, a large number of standardized variables have been collected, including epidemiological characteristics, cervical cancer-related symptoms, physical examination results, laboratory testing results, imaging reports, tumor biomarkers, tumor staging, tumor characteristics, comorbidities, co-infections, treatment and short-term complications. Follow-up was performed at least once every 6 months within the first 5 years after receiving treatment and then annually thereafter. At present, we are developing a cervical cancer imaging database containing Dicom files with data of computed tomography/magnetic resonance imaging examination. Additionally, we are also collecting original pathological specimens of patients with cervical cancer. Potential collaborators are welcomed to contact the corresponding authors, and anyone can submit at least one specific study proposal describing the background, objectives and methods of the study.
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spelling pubmed-82501352021-07-03 Cohort Profile: Chinese Cervical Cancer Clinical Study Zhang, Xi-Ru Li, Zhi-Qiang Sun, Li-Xin Liu, Ping Li, Zhi-Hao Li, Peng-Fei Zhao, Hong-Wei Chen, Bi-Liang Ji, Mei Wang, Li Kang, Shan Lang, Jing-He Mao, Chen Chen, Chun-Lin Front Oncol Oncology Cervical cancer is the fourth most common cancer worldwide, but its incidence varies greatly in different countries. Regardless of incidence or mortality, the burden of cervical cancer in China accounts for approximately 18% of the global burden. The Chinese Cervical Cancer Clinical Study is a hospital-based multicenter open cohort. The major aims of this study include (i) to explore the associations of therapeutic strategies with complications as well as mid- and long-term clinical outcomes; (ii) to widely assess the factors which may have an influence on the prognosis of cervical cancer and then guide the treatment options, and to estimate prognosis using a prediction model for precise post-treatment care and follow-up; (iii) to develop a knowledge base of cervical clinical auxiliary diagnosis and prognosis prediction using artificial intelligence and machine learning approaches; and (iv) to roughly map the burden of cervical cancer in different districts and monitoring the trend in incidence of cervical cancer to potentially inform prevention and control strategies. Patients eligible for inclusion were those diagnosed with cervical cancer, whether during an outpatient visit or hospital admission, at 47 different types of medical institutions in 19 cities of 11 provinces across mainland China between 2004 and 2018. In a total, 63 926 patients with cervical cancer were enrolled in the cohort. Since the project inception, a large number of standardized variables have been collected, including epidemiological characteristics, cervical cancer-related symptoms, physical examination results, laboratory testing results, imaging reports, tumor biomarkers, tumor staging, tumor characteristics, comorbidities, co-infections, treatment and short-term complications. Follow-up was performed at least once every 6 months within the first 5 years after receiving treatment and then annually thereafter. At present, we are developing a cervical cancer imaging database containing Dicom files with data of computed tomography/magnetic resonance imaging examination. Additionally, we are also collecting original pathological specimens of patients with cervical cancer. Potential collaborators are welcomed to contact the corresponding authors, and anyone can submit at least one specific study proposal describing the background, objectives and methods of the study. Frontiers Media S.A. 2021-06-18 /pmc/articles/PMC8250135/ /pubmed/34222018 http://dx.doi.org/10.3389/fonc.2021.690275 Text en Copyright © 2021 Zhang, Li, Sun, Liu, Li, Li, Zhao, Chen, Ji, Wang, Kang, Lang, Mao and Chen https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Oncology
Zhang, Xi-Ru
Li, Zhi-Qiang
Sun, Li-Xin
Liu, Ping
Li, Zhi-Hao
Li, Peng-Fei
Zhao, Hong-Wei
Chen, Bi-Liang
Ji, Mei
Wang, Li
Kang, Shan
Lang, Jing-He
Mao, Chen
Chen, Chun-Lin
Cohort Profile: Chinese Cervical Cancer Clinical Study
title Cohort Profile: Chinese Cervical Cancer Clinical Study
title_full Cohort Profile: Chinese Cervical Cancer Clinical Study
title_fullStr Cohort Profile: Chinese Cervical Cancer Clinical Study
title_full_unstemmed Cohort Profile: Chinese Cervical Cancer Clinical Study
title_short Cohort Profile: Chinese Cervical Cancer Clinical Study
title_sort cohort profile: chinese cervical cancer clinical study
topic Oncology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8250135/
https://www.ncbi.nlm.nih.gov/pubmed/34222018
http://dx.doi.org/10.3389/fonc.2021.690275
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