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External Validation of the Dutch SOURCE Survival Prediction Model in Belgian Metastatic Oesophageal and Gastric Cancer Patients.
van Kleef, J J; van den Boorn, H G; Verhoeven, R H A; Vanschoenbeek, K; Abu-Hanna, A; Zwinderman, A H; Sprangers, M A G; van Oijen, M G H; De Schutter, H; van Laarhoven, H W M.
Afiliação
  • van Kleef JJ; Cancer Center Amsterdam, Amsterdam University Medical Centers, University of Amsterdam, Department of Medical Oncology, 1105 AZ Amsterdam, The Netherlands.
  • van den Boorn HG; Cancer Center Amsterdam, Amsterdam University Medical Centers, University of Amsterdam, Department of Medical Oncology, 1105 AZ Amsterdam, The Netherlands.
  • Verhoeven RHA; Department of Research & Development, Netherlands Comprehensive Cancer Organisation (IKNL), 3511 DT Utrecht, The Netherlands.
  • Vanschoenbeek K; Belgian Cancer Registry, 1210 Brussels, Belgium.
  • Abu-Hanna A; Department of Medical Informatics, Amsterdam University Medical Centers, University of Amsterdam, 1105 AZ, Amsterdam, The Netherlands.
  • Zwinderman AH; Department of Clinical Epidemiology, Biostatistics and Bioinformatics, Amsterdam University Medical Centers, University of Amsterdam, 1105 AZ Amsterdam, The Netherlands.
  • Sprangers MAG; Department of Medical Psychology, Amsterdam University Medical Centers, Academic Medical Center, University of Amsterdam, Amsterdam Public Health Research Institute, 1105 AZ Amsterdam, The Netherlands.
  • van Oijen MGH; Cancer Center Amsterdam, Amsterdam University Medical Centers, University of Amsterdam, Department of Medical Oncology, 1105 AZ Amsterdam, The Netherlands.
  • De Schutter H; Belgian Cancer Registry, 1210 Brussels, Belgium.
  • van Laarhoven HWM; Cancer Center Amsterdam, Amsterdam University Medical Centers, University of Amsterdam, Department of Medical Oncology, 1105 AZ Amsterdam, The Netherlands.
Cancers (Basel) ; 12(4)2020 Mar 31.
Article em En | MEDLINE | ID: mdl-32244310
ABSTRACT
The SOURCE prediction model predicts individualised survival conditional on various treatments for patients with metastatic oesophageal or gastric cancer. The aim of this study was to validate SOURCE in an external cohort from the Belgian Cancer Registry. Data of Belgian patients diagnosed with metastatic disease between 2004 and 2014 were extracted (n = 4097). Model calibration and discrimination (c-indices) were determined. A total of 2514 patients with oesophageal cancer and 1583 patients with gastric cancer with a median survival of 7.7 and 5.4 months, respectively, were included. The oesophageal cancer model showed poor calibration (intercept 0.30, slope 0.42) with an absolute mean prediction error of 14.6%. The mean difference between predicted and observed survival was -2.6%. The concordance index (c-index) of the oesophageal model was 0.64. The gastric cancer model showed good calibration (intercept 0.02, slope 0.91) with an absolute mean prediction error of 2.5%. The mean difference between predicted and observed survival was 2.0%. The c-index of the gastric cancer model was 0.66. The SOURCE gastric cancer model was well calibrated and had a similar performance in the Belgian cohort compared with the Dutch internal validation. However, the oesophageal cancer model had not. Our findings underscore the importance of evaluating the performance of prediction models in other populations.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Cancers (Basel) Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Cancers (Basel) Ano de publicação: 2020 Tipo de documento: Article