Campbell, H.E., Gray, A.M., Harris, A.L., Briggs, A.H. and Taylor, M.A. (2010) Estimation and external validation of a new prognostic model for predicting recurrence-free survival for early breast cancer patients in the UK. British Journal of Cancer, 103(6), pp. 776-786. (doi: 10.1038/sj.bjc.6605863)
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Publisher's URL: http://dx.doi.org/10.1038/sj.bjc.6605863
Abstract
<b>Background:</b> We aimed to estimate and externally validate a new UK-specific prognostic model for predicting the long-term risk of a first recurrent event (local recurrence, metastatic recurrence, or second primary breast cancer) in women diagnosed with early breast cancer.<br></br> <b>Methods:</b> Using data on the prognostic characteristics and outcomes of 1844 women treated for early breast cancer at the Churchill Hospital in Oxford, parametric regression-based survival analysis was used to estimate a prognostic model for recurrence-free survival. The model, which incorporated established prognostic factors, was externally validated using independent data. Its performance was compared with that of the Nottingham Prognostic Index (NPI) and Adjuvant! Online.<br></br> <b>Results:</b> The number of positive axillary lymph nodes, tumour grade, tumour size and patient age were strong predictors of recurrence. Oestrogen receptor (ER) positivity was shown to afford a moderate protective effect. The model was able to separate patients into distinct prognostic groups, and predicted well at the patient level, mean Brier Accuracy Score=0.17 (s.e.=0.004) and overall C=0.745 (95% CI, 0.717–0.773). Its performance diminished only slightly when applied to a second independent data set. When compared with the NPI, the model was able to better discriminate between women with excellent and good prognoses, and it did not overestimate 10-year recurrence-free survival to the extent observed for Adjuvant! Online.<br></br> <b>Conclusion:</b> The model estimated here predicts well at both the individual patient and group levels, and appears transportable to patients treated at other UK hospitals. Its parametric form permits long-term extrapolation giving it an advantage over other prognostic tools currently in use. A simple point scoring system and reference table allow 5-, 10-, and 15-year predictions from the model to be quickly and easily estimated. The model is also available to download as an interactive computer program.
| Item Type: | Articles |
|---|---|
| Status: | Published |
| Refereed: | Yes |
| Glasgow Author(s) Enlighten ID: | Briggs, Professor Andrew |
| Authors: | Campbell, H.E., Gray, A.M., Harris, A.L., Briggs, A.H., and Taylor, M.A. |
| College/School: | College of Medical Veterinary and Life Sciences > School of Health & Wellbeing > Health Economics and Health Technology Assessment |
| Journal Name: | British Journal of Cancer |
| Publisher: | Nature Publishing Group |
| ISSN: | 0007-0920 |
| ISSN (Online): | 1532-1827 |
| Published Online: | 07 September 2010 |
| Related URLs: |
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