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Protocol for investigating data quality and reporting outcomes of pediatric gliomas in population-based cancer registry research.
Hoogendijk, Raoull; van der Lugt, Jasper; Kranendonk, Mariëtte E G; Gatta, Gemma; Capocaccia, Riccardo; Hoving, Eelco W; Wesseling, Pieter; Visser, Otto; van Vuurden, Dannis G; Karim-Kos, Henrike.
Afiliación
  • Hoogendijk R; Princess Máxima Center for Pediatric Oncology, Utrecht, the Netherlands. Electronic address: r.hoogendijk@prinsesmaximacentrum.nl.
  • van der Lugt J; Princess Máxima Center for Pediatric Oncology, Utrecht, the Netherlands.
  • Kranendonk MEG; Princess Máxima Center for Pediatric Oncology, Utrecht, the Netherlands.
  • Gatta G; Evaluative Epidemiology Unit, Department of Epidemiology and Data Science, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy.
  • Capocaccia R; Editorial Board, Epidemiol Prev, Milan, Italy.
  • Hoving EW; Princess Máxima Center for Pediatric Oncology, Utrecht, the Netherlands; Department of Neurosurgery, University Medical Center Utrecht, Utrecht, the Netherlands.
  • Wesseling P; Princess Máxima Center for Pediatric Oncology, Utrecht, the Netherlands; Department of Pathology, Amsterdam University Medical Centers, Amsterdam, the Netherlands.
  • Visser O; Department of Research and Innovation, Netherlands Comprehensive Cancer Organization (IKNL), Utrecht, The Netherlands.
  • van Vuurden DG; Princess Máxima Center for Pediatric Oncology, Utrecht, the Netherlands.
  • Karim-Kos H; Princess Máxima Center for Pediatric Oncology, Utrecht, the Netherlands; Department of Research and Innovation, Netherlands Comprehensive Cancer Organization (IKNL), Utrecht, The Netherlands. Electronic address: h.e.karim-kos@prinsesmaximacentrum.nl.
STAR Protoc ; 5(1): 102905, 2024 Mar 15.
Article en En | MEDLINE | ID: mdl-38386548
ABSTRACT
Cancer registry data on pediatric gliomas come with inherent limitations as inclusion criteria and registration practices of these tumors differ between registries due to specific guidelines that are lacking. These limitations can lead to biased estimates in incidence and survival outcomes. Here, we present a protocol to investigate data quality and comparability for retrospective population-based pediatric glioma studies. We describe steps for obtaining institutional permissions, dealing with data quality issues, regrouping tumors, and reporting tumors in a clinically relevant manner. For complete details on the use and execution of this protocol, please refer to Hoogendijk et al.1.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Exactitud de los Datos / Glioma Límite: Child / Humans Idioma: En Revista: STAR Protoc Año: 2024 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Exactitud de los Datos / Glioma Límite: Child / Humans Idioma: En Revista: STAR Protoc Año: 2024 Tipo del documento: Article
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