Protocol for investigating data quality and reporting outcomes of pediatric gliomas in population-based cancer registry research

Raoull Hoogendijk; Jasper van der Lugt; Mariëtte E. G. Kranendonk; Gemma Gatta; Riccardo Capocaccia; Eelco W. Hoving; Pieter Wesseling; Otto Visser; Dannis G. van Vuurden; Henrike Karim-Kos

doi:10.1016/j.xpro.2024.102905

Protocol for investigating data quality and reporting outcomes of pediatric gliomas in population-based cancer registry research

Raoull Hoogendijk, Jasper van der Lugt, Mariëtte E. G. Kranendonk, Gemma Gatta, Riccardo Capocaccia, Eelco W. Hoving, Pieter Wesseling, Otto Visser, Dannis G. van Vuurden, Henrike Karim-Kos

Research output: Contribution to journal › Article › Academic › peer-review

1 Citation (Scopus)

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

Original language	English
Article number	102905
Journal	STAR Protocols
Volume	5
Issue number	1
DOIs	https://doi.org/10.1016/j.xpro.2024.102905
Publication status	Published - 15 Mar 2024

Keywords

Cancer
Clinical Protocol
Health Sciences

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10.1016/j.xpro.2024.102905

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Hoogendijk, R., van der Lugt, J., Kranendonk, M. E. G., Gatta, G., Capocaccia, R., Hoving, E. W., Wesseling, P., Visser, O., van Vuurden, D. G., & Karim-Kos, H. (2024). Protocol for investigating data quality and reporting outcomes of pediatric gliomas in population-based cancer registry research. STAR Protocols, 5(1), Article 102905. https://doi.org/10.1016/j.xpro.2024.102905

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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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doi = "10.1016/j.xpro.2024.102905",

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AU - Hoogendijk, Raoull

AU - van der Lugt, Jasper

AU - Kranendonk, Mariëtte E. G.

AU - Gatta, Gemma

AU - Capocaccia, Riccardo

AU - Hoving, Eelco W.

AU - Wesseling, Pieter

AU - Visser, Otto

AU - van Vuurden, Dannis G.

AU - Karim-Kos, Henrike

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N2 - 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

AB - 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

KW - Cancer

KW - Clinical Protocol

KW - Health Sciences

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JO - STAR Protocols

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ER -

Protocol for investigating data quality and reporting outcomes of pediatric gliomas in population-based cancer registry research

Abstract

Keywords

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