KREJČÍ, Denisa, Matěj KAROLYI, Lucie PEHALOVÁ, Jakub ŠČAVNICKÝ, Michaela ZAPLETALOVÁ, Ivana KATINOVÁ, Jaroslav ŠTĚRBA, Jan STARY, Lenka ŠNAJDROVÁ, Martin KOMENDA and Ladislav DUŠEK. Development of the Czech Childhood Cancer Information System: Data Analysis and Interactive Visualization. Online. JMIR PUBLIC HEALTH AND SURVEILLANCE. TORONTO: JMIR PUBLICATIONS, INC, 2021, vol. 7, No 6, p. 1-9. ISSN 2369-2960. Available from: https://dx.doi.org/10.2196/23990. [citováno 2024-04-23]
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Basic information
Original name Development of the Czech Childhood Cancer Information System: Data Analysis and Interactive Visualization
Authors KREJČÍ, Denisa (203 Czech Republic, guarantor, belonging to the institution), Matěj KAROLYI (203 Czech Republic, belonging to the institution), Lucie PEHALOVÁ (203 Czech Republic, belonging to the institution), Jakub ŠČAVNICKÝ (703 Slovakia, belonging to the institution), Michaela ZAPLETALOVÁ (203 Czech Republic, belonging to the institution), Ivana KATINOVÁ (203 Czech Republic, belonging to the institution), Jaroslav ŠTĚRBA (203 Czech Republic, belonging to the institution), Jan STARY (203 Czech Republic), Lenka ŠNAJDROVÁ (203 Czech Republic, belonging to the institution), Martin KOMENDA (203 Czech Republic, belonging to the institution) and Ladislav DUŠEK (203 Czech Republic, belonging to the institution)
Edition JMIR PUBLIC HEALTH AND SURVEILLANCE, TORONTO, JMIR PUBLICATIONS, INC, 2021, 2369-2960.
Other information
Original language English
Type of outcome Article in a journal
Field of Study 30304 Public and environmental health
Country of publisher Canada
Confidentiality degree is not subject to a state or trade secret
WWW URL
Impact factor Impact factor: 14.557
RIV identification code RIV/00216224:14110/21:00123835
Organization unit Faculty of Medicine
Doi http://dx.doi.org/10.2196/23990
UT WoS 000738510300007
Keywords in English cancer epidemiology; children; data visualization; software development
Tags 14110321, 14119612, podil, rivok
Tags International impact, Reviewed
Changed by Changed by: Mgr. Tereza Miškechová, učo 341652. Changed: 9/3/2022 12:36.
Abstract
Background: The knowledge of cancer burden in the population, its time trends, and the possibility of international comparison is an important starting point for cancer programs. A reliable interactive tool describing cancer epidemiology in children and adolescents has been nonexistent in the Czech Republic until recently. Objective: The goal of this study is to develop a new web portal entitled the Czech Childhood Cancer Information System (CCCIS), which would provide information on childhood cancer epidemiology in the Czech Republic. Methods: Data on childhood cancers have been obtained from the Czech National Cancer Registry. These data were validated using the clinical database of childhood cancer patients and subsequently combined with data from the National Register of Hospitalised Patients and with data from death certificates. These validated data were then used to determine the incidence and survival rates of childhood cancer patients aged 0 to 19 years who were diagnosed in the period 1994 to 2016 (N=9435). Data from death certificates were used to monitor long-term mortality trends. The technical solution is based on the robust PHP development Symfony framework, with the PostgreSQL system used to accommodate the data basis. Results: The web portal has been available for anyone since November 2019, providing basic information for experts (ie, analyses and publications) on individual diagnostic groups of childhood cancers. It involves an interactive tool for analytical reporting, which provides information on the following basic topics in the form of graphs or tables: incidence, mortality, and overall survival. Feedback was obtained and the accuracy of outputs published on the CCCIS portal was verified using the following methods: the validation of the theoretical background and the user testing. Conclusions: We developed software capable of processing data from multiple sources, which is freely available to all users and makes it possible to carry out automated analyses even for users without mathematical background; a simple selection of a topic to be analyzed is required from the user.
Links
MUNI/A/1701/2020, interní kód MUName: Personalizovaná léčba v dětské onkologii: na cestě k „liquid dynamic medicine“ a „N-of-1 clinical trials“
Investor: Masaryk University
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