2012
DOI: 10.1038/bjc.2012.338
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PREDICT Plus: development and validation of a prognostic model for early breast cancer that includes HER2

Abstract: Background:Predict (www.predict.nhs.uk) is an online, breast cancer prognostication and treatment benefit tool. The aim of this study was to incorporate the prognostic effect of HER2 status in a new version (Predict+), and to compare its performance with the original Predict and Adjuvant!.Methods:The prognostic effect of HER2 status was based on an analysis of data from 10 179 breast cancer patients from 14 studies in the Breast Cancer Association Consortium. The hazard ratio estimates were incorporated into P… Show more

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Cited by 172 publications
(169 citation statements)
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“…1 Tools that incorporate these features, such as Adjuvant! Online 2,3 and PREDICT Plus, 4 were created to assist in such decision making. However, these algorithms do not take into account the individual biologic characteristics of the patient's tumor.…”
mentioning
confidence: 99%
“…1 Tools that incorporate these features, such as Adjuvant! Online 2,3 and PREDICT Plus, 4 were created to assist in such decision making. However, these algorithms do not take into account the individual biologic characteristics of the patient's tumor.…”
mentioning
confidence: 99%
“…The study population was 5694 breast cancer patients and was validated with another set of 5468 patients recorded in West Midlands Cancer Intelligence Unit (WMCIU) [117]. Wishart et al incorporated the prognostic effect of HER2 status to produce the new version; PREDICT+, using the cohort cases from British Columbia which was used to validate the original PREDICT [111,118]. It estimates the benefit of treatment from hormone treatment, chemotherapy and trastuzumab at 10-year time points.…”
Section: Predictmentioning
confidence: 99%
“…Prognostic model which was available on the internet [8][9][10][11][12]. They used survival results from the Surveillance, Epidemiology and End Results (SEER) programme which had data on local treatment & prognostic factors.…”
Section: Prognostic Modelsmentioning
confidence: 99%