Opportunities and challenges in pooling health-related quality-of-life data for prediction modeling in breast cancer across Europe: lessons from the EORTC BALANCE project

van der Heijden, T.G.W., Hubel, N.J., de Ligt, K.M. et al. (8 more authors) (2025) Opportunities and challenges in pooling health-related quality-of-life data for prediction modeling in breast cancer across Europe: lessons from the EORTC BALANCE project. ESMO Real World Data and Digital Oncology, 9. 100172. ISSN: 2949-8201

Abstract

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Item Type: Article
Authors/Creators:
  • van der Heijden, T.G.W.
  • Hubel, N.J.
  • de Ligt, K.M.
  • Kist, I.R.
  • Arndt, V.
  • Verkooijen, H.M.
  • Velikova, G. ORCID logo https://orcid.org/0000-0003-1899-5942
  • Hoedjes, M.
  • de Rooij, B.H.
  • Holzner, B.
  • van de Poll-Franse, L.V.
Copyright, Publisher and Additional Information:

© 2025 The Authors. This is an open access article under the terms of the Creative Commons Attribution License (CC-BY-NC-ND 4.0).

Keywords: health-related quality of life, patient-reported outcomes, breast cancer, data pooling, data harmonization
Dates:
  • Published (online): 7 August 2025
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Medicine and Health (Leeds) > School of Medicine (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 21 Aug 2025 10:26
Last Modified: 21 Aug 2025 10:26
Status: Published online
Publisher: Elsevier
Identification Number: 10.1016/j.esmorw.2025.100172
Open Archives Initiative ID (OAI ID):

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