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Mapping the EORTC QLQ-C30 and QLQ-H&N35, onto EQ-5D-5L and HUI-3 indices in patients with head and neck cancer.
Noel, Christopher W; Stephens, Robert F; Su, Jie Susie; Xu, Wei; Krahn, Murray; Monteiro, Eric; Goldstein, David P; Giuliani, Meredith; Hansen, Aaron R; de Almeida, John R.
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  • Noel CW; Department of Otolaryngology-Head and Neck Surgery, Princess Margaret Cancer Centre-University Health Network, University of Toronto, Toronto, Ontario, Canada.
  • Stephens RF; Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.
  • Su JS; Department of Biostatistics, University Health Network, Toronto, Ontario, Canada.
  • Xu W; Department of Biostatistics, University Health Network, Toronto, Ontario, Canada.
  • Krahn M; Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.
  • Monteiro E; Department of Otolaryngology-Head and Neck Surgery, Sinai Health System, University of Toronto, Toronto, Ontario, Canada.
  • Goldstein DP; Department of Otolaryngology-Head and Neck Surgery, Princess Margaret Cancer Centre-University Health Network, University of Toronto, Toronto, Ontario, Canada.
  • Giuliani M; Department of Radiation Oncology, Princess Margaret Cancer Centre-University Health Network, University of Toronto, Toronto, Ontario, Canada.
  • Hansen AR; Department of Medical Oncology, Princess Margaret Cancer Centre-University Health Network, University of Toronto, Toronto, Ontario, Canada.
  • de Almeida JR; Department of Otolaryngology-Head and Neck Surgery, Princess Margaret Cancer Centre-University Health Network, University of Toronto, Toronto, Ontario, Canada.
Head Neck ; 42(9): 2277-2286, 2020 09.
Article en En | MEDLINE | ID: mdl-32333829
BACKGROUND: We sought to develop mapping functions that use EORTC responses to approximate health utility (HU) scores for patients with head and neck cancer (HNC). METHODS: In total, 209 outpatients with HNC completed the EORTC QLQ-C30 & QLQ-H&N35 (EORTC), EQ-5D-5L and the HUI-3. Results of the EORTC were mapped onto both EQ-5D-5L and HUI-3 scores using ordinary least squares regression and two-part models. RESULTS: The OLS model mapping EORTC onto the EQ-5D-5L performed best (adjusted R2 = .75, 10-fold cross-validation RMSE = 0.064, MAE 0.050). The HUI-3 model mapping onto EORTC through OLS was more limited (adjusted R2 = .5746, 10-fold cross cross-validation RMSE = 0.168, MAE 0.080). The EQ-5D-5L model was able to discriminate between certain clinical indices of disease severity on subgroup analysis. CONCLUSION: The EORTC to EQ-5D-5L mapping algorithm has good predictive validity and may enable researchers to translate EORTC scores into HU scores for head and neck patients with cancer.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Calidad de Vida / Neoplasias de Cabeza y Cuello Tipo de estudio: Diagnostic_studies / Prognostic_studies Aspecto: Patient_preference Límite: Humans Idioma: En Revista: Head Neck Asunto de la revista: NEOPLASIAS Año: 2020 Tipo del documento: Article País de afiliación: Canadá Pais de publicación: Estados Unidos
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Calidad de Vida / Neoplasias de Cabeza y Cuello Tipo de estudio: Diagnostic_studies / Prognostic_studies Aspecto: Patient_preference Límite: Humans Idioma: En Revista: Head Neck Asunto de la revista: NEOPLASIAS Año: 2020 Tipo del documento: Article País de afiliación: Canadá Pais de publicación: Estados Unidos