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A gender-specific geodatabase of five cancer types with the highest frequency of occurrence in Iran.
Faramarzi, Sharareh; Kiani, Behzad; Hoseinkhani, Mohammedreza; Firouraghi, Neda.
Afiliação
  • Faramarzi S; Department of Medical Informatics, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.
  • Kiani B; UQ Centre for Clinical Research, Faculty of Medicine, The University of Queensland, Brisbane, Queensland, Australia.
  • Hoseinkhani M; Department of Medical Informatics, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.
  • Firouraghi N; Department of Medical Informatics, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran. n.firooraghi@gmail.com.
BMC Res Notes ; 17(1): 83, 2024 Mar 19.
Article em En | MEDLINE | ID: mdl-38504380
ABSTRACT

OBJECTIVES:

Cancer is a global health challenge with complex characteristics. Despite progress in research and treatment, a universally effective prevention strategy is lacking. Access to reliable information, especially on occurrence rates, is vital for cancer management. This study aims to create a database containing individual and spatially integrated data on commonly diagnosed cancers in Iran from 2014 to 2017, serving as a valuable resource for spatial-epidemiological approaches. DATA DESCRIPTION This database encompasses several files related to cancer data. The first file is an Excel spreadsheet, containing information on newly diagnosed cancer cases from 2014 to 2017. It provides demographic details and specific characteristics of 482,229 cancer patients. We categorized this data according to the International Agency for Research on Cancer (IARC) reporting rules to identify cancers with the highest incidence. To create a geodatabase, individual data was integrated at the county level and combined with population data. Files 2 and 3 contain gender-specific spatial data for the top cancer types and non-melanoma skin cancer. Each file includes county identifications, the number of cancer cases for each cancer type per year, and gender-specific population information. Lastly, there is a user's guide file to help navigate through the data files.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Limite: Humans País/Região como assunto: Asia Idioma: En Revista: BMC Res Notes Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Irã

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Limite: Humans País/Região como assunto: Asia Idioma: En Revista: BMC Res Notes Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Irã