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Article: Essential data variables for a minimum dataset for head and neck cancer trials and clinical research: HNCIG consensus recommendations and database

TitleEssential data variables for a minimum dataset for head and neck cancer trials and clinical research: HNCIG consensus recommendations and database
Authors
KeywordsCancer database
Collaborative research
Data harmonisation
Head and Neck cancer
Head and neck squamous cell carcinoma
Issue Date1-May-2024
Citation
European Journal Of Cancer, 2024, v. 203 How to Cite?
Abstract

The Head and Neck Cancer International Group (HNCIG) has undertaken an international modified Delphi process to reach consensus on the essential data variables to be included in a minimum database for HNC research. Endorsed by 19 research organisations representing 34 countries, these recommendations provide the framework to facilitate and harmonise data collection and sharing for HNC research. These variables have also been incorporated into a ready to use downloadable HNCIG minimum database, available from the HNCIG website.


Persistent Identifierhttp://hdl.handle.net/10722/344819
ISSN

 

DC FieldValueLanguage
dc.contributor.authorBaliga, Sujith-
dc.contributor.authorAbou-Foul, Ahmad K.-
dc.contributor.authorParente, Pablo-
dc.contributor.authorSzturz, Petr-
dc.contributor.authorThariat, Juliette-
dc.contributor.authorShreenivas, Aditya-
dc.contributor.authorNankivell, Paul-
dc.contributor.authorBertolini, Federica-
dc.contributor.authorBiau, Julian-
dc.contributor.authorBlakaj, Dukagjin-
dc.contributor.authorBrennan, Sinead-
dc.contributor.authorBrunet, Aina-
dc.contributor.authorDe Oliveira, Thiago Bueno-
dc.contributor.authorBurtness, Barbara-
dc.contributor.authorMaseda, Alberto Carral-
dc.contributor.authorChow, Velda Ling-Yu-
dc.contributor.authorChua, Melvin LK-
dc.contributor.authorde Ridder, Mischa-
dc.contributor.authorGarikipati, Satya-
dc.contributor.authorHanai, Nobuhiro-
dc.contributor.authorHo, Francis Cho Hao-
dc.contributor.authorHuang, Shao Hui-
dc.contributor.authorKiyota, Naomi-
dc.contributor.authorKlinghammer, Konrad-
dc.contributor.authorKowalski, Luiz P.-
dc.contributor.authorKwong, Dora L-
dc.contributor.authorMcDowell, Lachlan J-
dc.contributor.authorMerlano, Marco Carlo-
dc.contributor.authorNair, Sudhir-
dc.contributor.authorEconomopoulou, Panagiota-
dc.contributor.authorOvergaard, Jens-
dc.contributor.authorPsyrri, Amanda-
dc.contributor.authorTribius, Silke-
dc.contributor.authorWaldron, John-
dc.contributor.authorYom, Sue S.-
dc.contributor.authorMehanna, Hisham-
dc.date.accessioned2024-08-12T04:07:37Z-
dc.date.available2024-08-12T04:07:37Z-
dc.date.issued2024-05-01-
dc.identifier.citationEuropean Journal Of Cancer, 2024, v. 203-
dc.identifier.issn0014-2964-
dc.identifier.urihttp://hdl.handle.net/10722/344819-
dc.description.abstract<p> <span>The Head and Neck Cancer International Group (HNCIG) has undertaken an international modified Delphi process to reach consensus on the essential data variables to be included in a minimum database for HNC research. Endorsed by 19 research organisations representing 34 countries, these recommendations provide the framework to facilitate and harmonise data collection and sharing for HNC research. These variables have also been incorporated into a ready to use downloadable HNCIG minimum database, available from the HNCIG website.</span> <br></p>-
dc.languageeng-
dc.relation.ispartofEuropean Journal Of Cancer-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.subjectCancer database-
dc.subjectCollaborative research-
dc.subjectData harmonisation-
dc.subjectHead and Neck cancer-
dc.subjectHead and neck squamous cell carcinoma-
dc.titleEssential data variables for a minimum dataset for head and neck cancer trials and clinical research: HNCIG consensus recommendations and database-
dc.typeArticle-
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.1016/j.ejca.2024.114038-
dc.identifier.scopuseid_2-s2.0-85189704028-
dc.identifier.volume203-
dc.identifier.issnl0014-2964-

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