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Thyroid Cancer and Tumor Collaborative Registry (TCCR).
Shats, Oleg; Goldner, Whitney; Feng, Jianmin; Sherman, Alexander; Smith, Russell B; Sherman, Simon.
Afiliação
  • Shats O; Eppley Institute for Research in Cancer, University of Nebraska Medical Center, Omaha, NE, USA.; Progenomix, Inc., Omaha, NE, USA.
  • Goldner W; College of Medicine, University of Nebraska Medical Center, Omaha, NE, USA.
  • Feng J; Eppley Institute for Research in Cancer, University of Nebraska Medical Center, Omaha, NE, USA.
  • Sherman A; Eppley Institute for Research in Cancer, University of Nebraska Medical Center, Omaha, NE, USA.
  • Smith RB; College of Medicine, University of Nebraska Medical Center, Omaha, NE, USA.; Nebraska Methodist Hospital, Omaha, NE, USA.
  • Sherman S; Eppley Institute for Research in Cancer, University of Nebraska Medical Center, Omaha, NE, USA.; Progenomix, Inc., Omaha, NE, USA.
Cancer Inform ; 15: 73-9, 2016.
Article em En | MEDLINE | ID: mdl-27168721
ABSTRACT
A multicenter, web-based Thyroid Cancer and Tumor Collaborative Registry (TCCR, http//tccr.unmc.edu) allows for the collection and management of various data on thyroid cancer (TC) and thyroid nodule (TN) patients. The TCCR is coupled with OpenSpecimen, an open-source biobank management system, to annotate biospecimens obtained from the TCCR subjects. The demographic, lifestyle, physical activity, dietary habits, family history, medical history, and quality of life data are provided and may be entered into the registry by subjects. Information on diagnosis, treatment, and outcome is entered by the clinical personnel. The TCCR uses advanced technical and organizational practices, such as (i) metadata-driven software architecture (design); (ii) modern standards and best practices for data sharing and interoperability (standardization); (iii) Agile methodology (project management); (iv) Software as a Service (SaaS) as a software distribution model (operation); and (v) the confederation principle as a business model (governance). This allowed us to create a secure, reliable, user-friendly, and self-sustainable system for TC and TN data collection and management that is compatible with various end-user devices and easily adaptable to a rapidly changing environment. Currently, the TCCR contains data on 2,261 subjects and data on more than 28,000 biospecimens. Data and biological samples collected by the TCCR are used in developing diagnostic, prevention, treatment, and survivorship strategies against TC.
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Guideline / Prognostic_studies Idioma: En Ano de publicação: 2016 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Guideline / Prognostic_studies Idioma: En Ano de publicação: 2016 Tipo de documento: Article