The prognostic performance of Adjuvant! Online and Nottingham Prognostic Index in young breast cancer patients

[1]  L. V. van't Veer,et al.  70-Gene Signature as an Aid to Treatment Decisions in Early-Stage Breast Cancer. , 2016, The New England journal of medicine.

[2]  N. Davidson,et al.  Challenges in Treating Premenopausal Women with Endocrine-Sensitive Breast Cancer. , 2016, American Society of Clinical Oncology educational book. American Society of Clinical Oncology. Annual Meeting.

[3]  Alberto Revelli,et al.  Cancer and fertility preservation: international recommendations from an expert meeting , 2016, BMC Medicine.

[4]  R. Gelber,et al.  Tailoring therapies—improving the management of early breast cancer: St Gallen International Expert Consensus on the Primary Therapy of Early Breast Cancer 2015 , 2015, Annals of oncology : official journal of the European Society for Medical Oncology.

[5]  M. Teare,et al.  Comparison of Nottingham Prognostic Index and Adjuvant Online prognostic tools in young women with breast cancer: review of a single-institution experience , 2015, BMJ Open.

[6]  N. Tinari,et al.  Outcomes of HER2-positive early breast cancer patients in the pre-trastuzumab and trastuzumab eras: a real-world multicenter observational analysis. The RETROHER study , 2014, Breast Cancer Research and Treatment.

[7]  A. Partridge,et al.  Biology of breast cancer in young women , 2014, Breast Cancer Research.

[8]  H. Putter,et al.  Validity of Adjuvant! Online program in older patients with breast cancer: a population-based study. , 2014, The Lancet. Oncology.

[9]  E. Smets,et al.  Predicting and communicating the risk of recurrence and death in women with early-stage breast cancer: a systematic review of risk prediction models. , 2014, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[10]  J. Coffey,et al.  Correlation between Nottingham Prognostic Index and Adjuvant! Online prognostic tools in patients with early-stage breast cancer in Mid-Western Ireland. , 2013, Clinical breast cancer.

[11]  L. Vatten,et al.  Molecular subtypes, histopathological grade and survival in a historic cohort of breast cancer patients , 2013, Breast Cancer Research and Treatment.

[12]  P. Neven,et al.  Utility of prognostic genomic tests in breast cancer practice: The IMPAKT 2012 Working Group Consensus Statement. , 2013, Annals of oncology : official journal of the European Society for Medical Oncology.

[13]  H. Verkooijen,et al.  Adjuvant! Online is overoptimistic in predicting survival of Asian breast cancer patients. , 2012, European journal of cancer.

[14]  M. J. van de Vijver,et al.  External Validation of Adjuvant! Online Breast Cancer Prognosis Tool. Prioritising Recommendations for Improvement , 2011, PloS one.

[15]  M. Piccart,et al.  Long-term toxic effects of adjuvant chemotherapy in breast cancer. , 2011, Annals of oncology : official journal of the European Society for Medical Oncology.

[16]  Chin-Tsang Chiang,et al.  Non‐parametric estimation for time-dependent AUC , 2010 .

[17]  S. Mook,et al.  Calibration and discriminatory accuracy of prognosis calculation for breast cancer with the online Adjuvant! program: a hospital-based retrospective cohort study. , 2009, The Lancet. Oncology.

[18]  A. Harris,et al.  An investigation into the performance of the Adjuvant! Online prognostic programme in early breast cancer for a cohort of patients in the United Kingdom , 2009, British Journal of Cancer.

[19]  S. Pocock,et al.  Strengthening the reporting of observational studies in epidemiology (STROBE) statement: guidelines for reporting observational studies , 2007, BMJ : British Medical Journal.

[20]  S. Pocock,et al.  The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement: guidelines for reporting observational studies. , 2007, Epidemiology.

[21]  Karen A Gelmon,et al.  Population-based validation of the prognostic model ADJUVANT! for early breast cancer. , 2005, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[22]  P. Ravdin,et al.  Computer program to assist in making decisions about adjuvant therapy for women with early breast cancer. , 2001, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[23]  R. Blamey,et al.  A prognostic index in primary breast cancer. , 1982, British Journal of Cancer.

[24]  A. Jemal,et al.  Breast cancer statistics, 2015: Convergence of incidence rates between black and white women , 2016, CA: a cancer journal for clinicians.

[25]  A. Glas,et al.  Gene Signature as an Aid to Treatment Decisions in Early-Stage Breast Cancer , 2016 .

[26]  Sten Thorstenson,et al.  Applying the Nottingham Prognostic Index to a Swedish breast cancer population , 2004, Breast Cancer Research and Treatment.