Development and validation of prognostic models for anal cancer outcomes using distributed learning: protocol for the international multi-centre atomCAT2 study

BACKGROUND: Anal cancer is a rare cancer with rising incidence. Despite the relatively good outcomes conferred by state-of-the-art chemoradiotherapy, further improving disease control and reducing toxicity has proven challenging. Developing and validating prognostic models using routinely collected...

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Detalles Bibliográficos
Autores principales: Theophanous, Stelios, Lønne, Per-Ivar, Choudhury, Ananya, Berbee, Maaike, Dekker, Andre, Dennis, Kristopher, Dewdney, Alice, Gambacorta, Maria Antonietta, Gilbert, Alexandra, Guren, Marianne Grønlie, Holloway, Lois, Jadon, Rashmi, Kochhar, Rohit, Mohamed, Ahmed Allam, Muirhead, Rebecca, Parés, Oriol, Raszewski, Lukasz, Roy, Rajarshi, Scarsbrook, Andrew, Sebag-Montefiore, David, Spezi, Emiliano, Spindler, Karen-Lise Garm, van Triest, Baukelien, Vassiliou, Vassilios, Malinen, Eirik, Wee, Leonard, Appelt, Ane L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Protocol
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9351222/
https://www.ncbi.nlm.nih.gov/pubmed/35922837
http://dx.doi.org/10.1186/s41512-022-00128-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9351222/
https://www.ncbi.nlm.nih.gov/pubmed/35922837
http://dx.doi.org/10.1186/s41512-022-00128-8

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