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Accuracy of the online prognostication tools PREDICT and Adjuvant! for early-stage breast cancer patients younger than 50 years.
Engelhardt, Ellen G; van den Broek, Alexandra J; Linn, Sabine C; Wishart, Gordon C; Rutgers, Emiel J Th; van de Velde, Anthonie O; Smit, Vincent T H B M; Voogd, Adri C; Siesling, Sabine; Brinkhuis, Mariël; Seynaeve, Caroline; Westenend, Pieter J; Stiggelbout, Anne M; Tollenaar, Rob A E M; van Leeuwen, Flora E; van 't Veer, Laura J; Ravdin, Peter M; Pharaoh, Paul D P; Schmidt, Marjanka K.
Afiliação
  • Engelhardt EG; Department of Medical Decision Making, Leiden University Medical Center, Leiden, The Netherlands.
  • van den Broek AJ; Division of Psychosocial Research and Epidemiology, Netherlands Cancer Institute - Antoni van Leeuwenhoek Hospital, Amsterdam, The Netherlands.
  • Linn SC; Division of Molecular Pathology, Netherlands Cancer Institute - Antoni van Leeuwenhoek Hospital, Amsterdam, The Netherlands; Division of Medical Oncology, Netherlands Cancer Institute - Antoni van Leeuwenhoek Hospital, Amsterdam, The Netherlands; Department of Pathology, University Medical Center Ut
  • Wishart GC; Faculty of Medical Science, Anglia Ruskin University, Cambridge, UK.
  • Rutgers EJT; Division of Surgical Oncology, Netherlands Cancer Institute - Antoni van Leeuwenhoek Hospital, Amsterdam, The Netherlands.
  • van de Velde AO; Biometrics Department, Netherlands Cancer Institute - Antoni van Leeuwenhoek Hospital, Amsterdam, The Netherlands.
  • Smit VTHBM; Department of Pathology, Leiden University Medical Center, Leiden, The Netherlands.
  • Voogd AC; Department of Research, Netherlands Comprehensive Cancer Organisation, Utrecht, The Netherlands; Department of Epidemiology, Maastricht University Medical Center, Maastricht, The Netherlands.
  • Siesling S; Department of Research, Netherlands Comprehensive Cancer Organisation, Utrecht, The Netherlands; Department of Health Technology and Services Research, MIRA Institute for Biomedical Technology and Technical Medicine, University of Twente, Enschede, The Netherlands.
  • Brinkhuis M; Laboratory Pathology East-Netherlands, Hengelo, The Netherlands.
  • Seynaeve C; Department of Medical Oncology, Erasmus MC Cancer Institute, Rotterdam, The Netherlands.
  • Westenend PJ; Laboratory for Pathology, Dordrecht, The Netherlands.
  • Stiggelbout AM; Department of Medical Decision Making, Leiden University Medical Center, Leiden, The Netherlands.
  • Tollenaar RAEM; Department of Surgery, Leiden University Medical Center, Leiden, The Netherlands.
  • van Leeuwen FE; Division of Psychosocial Research and Epidemiology, Netherlands Cancer Institute - Antoni van Leeuwenhoek Hospital, Amsterdam, The Netherlands.
  • van 't Veer LJ; Division of Molecular Pathology, Netherlands Cancer Institute - Antoni van Leeuwenhoek Hospital, Amsterdam, The Netherlands.
  • Ravdin PM; University of Texas, Health Sciences Center, San Antonio, USA.
  • Pharaoh PDP; Department of Oncology, Strangeways Research Laboratory, University of Cambridge, Worts Causeway, Cambridge, UK.
  • Schmidt MK; Division of Psychosocial Research and Epidemiology, Netherlands Cancer Institute - Antoni van Leeuwenhoek Hospital, Amsterdam, The Netherlands; Division of Molecular Pathology, Netherlands Cancer Institute - Antoni van Leeuwenhoek Hospital, Amsterdam, The Netherlands. Electronic address: mk.schmidt@
Eur J Cancer ; 78: 37-44, 2017 06.
Article em En | MEDLINE | ID: mdl-28412587
IMPORTANCE: Online prognostication tools such as PREDICT and Adjuvant! are increasingly used in clinical practice by oncologists to inform patients and guide treatment decisions about adjuvant systemic therapy. However, their validity for young breast cancer patients is debated. OBJECTIVE: To assess first, the prognostic accuracy of PREDICT's and Adjuvant! 10-year all-cause mortality, and second, its breast cancer-specific mortality estimates, in a large cohort of breast cancer patients diagnosed <50 years. DESIGN: Hospital-based cohort. SETTING: General and cancer hospitals. PARTICIPANTS: A consecutive series of 2710 patients without a prior history of cancer, diagnosed between 1990 and 2000 with unilateral stage I-III breast cancer aged <50 years. MAIN OUTCOME MEASURES: Calibration and discriminatory accuracy, measured with C-statistics, of estimated 10-year all-cause and breast cancer-specific mortality. RESULTS: Overall, PREDICT's calibration for all-cause mortality was good (predicted versus observed) meandifference: -1.1% (95%CI: -3.2%-0.9%; P = 0.28). PREDICT tended to underestimate all-cause mortality in good prognosis subgroups (range meandifference: -2.9% to -4.8%), overestimated all-cause mortality in poor prognosis subgroups (range meandifference: 2.6%-9.4%) and underestimated survival in patients < 35 by -6.6%. Overall, PREDICT overestimated breast cancer-specific mortality by 3.2% (95%CI: 0.8%-5.6%; P = 0.007); and also overestimated it seemingly indiscriminately in numerous subgroups (range meandifference: 3.2%-14.1%). Calibration was poor in the cohort of patients with the lowest and those with the highest mortality probabilities. Discriminatory accuracy was moderate-to-good for all-cause mortality in PREDICT (0.71 [95%CI: 0.68 to 0.73]), and the results were similar for breast cancer-specific mortality. Adjuvant!'s calibration and discriminatory accuracy for both all-cause and breast cancer-specific mortality were in line with PREDICT's findings. CONCLUSIONS: Although imprecise at the extremes, PREDICT's estimates of 10-year all-cause mortality seem reasonably sound for breast cancer patients <50 years; Adjuvant! findings were similar. Prognostication tools should be used with caution due to the intrinsic variability of their estimates, and because the threshold to discuss adjuvant systemic treatment is low. Thus, seemingly insignificant mortality overestimations or underestimations of a few percentages can significantly impact treatment decision-making.
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Texto completo: 1 Coleções: 01-internacional Temas: Geral / Tipos_de_cancer / Outros_tipos Base de dados: MEDLINE Assunto principal: Neoplasias da Mama Tipo de estudo: Clinical_trials / Diagnostic_studies / Evaluation_studies / Prognostic_studies / Risk_factors_studies Limite: Adult / Female / Humans / Middle aged País/Região como assunto: Europa Idioma: En Revista: Eur J Cancer Ano de publicação: 2017 Tipo de documento: Article País de afiliação: Holanda

Texto completo: 1 Coleções: 01-internacional Temas: Geral / Tipos_de_cancer / Outros_tipos Base de dados: MEDLINE Assunto principal: Neoplasias da Mama Tipo de estudo: Clinical_trials / Diagnostic_studies / Evaluation_studies / Prognostic_studies / Risk_factors_studies Limite: Adult / Female / Humans / Middle aged País/Região como assunto: Europa Idioma: En Revista: Eur J Cancer Ano de publicação: 2017 Tipo de documento: Article País de afiliação: Holanda