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External validation of a model to predict the survival of patients presenting with a spinal epidural metastasis

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Abstract

The surgical treatment of spinal metastases is evolving. The major problem is the selection of patients who may benefit from surgical treatment. One of the criteria is an expected survival of at least 3 months. A prediction model has been previously developed. The present study has been performed in order to validate externally the model and to demonstrate that this model can be generalized to other institutions and other countries than the Netherlands. Data of 356 patients from five centers in Germany, Spain, Sweden, and the Netherlands who were treated for metastatic epidural spinal cord compression were collected. Hazard ratios in the test population corresponded with those of the developmental population. However, the observed and the expected survival were different. Analysis revealed that the baseline hazard function was significantly different. This tempted us to combine the data and develop a new prediction model. Estimating iteratively, a baseline hazard was composed. An adapted prediction model is presented. External validation of a prediction model revealed a difference in expected survival, although the relative contribution of the specific hazard ratios was the same as in the developmental population. This study emphasized the need to check the baseline hazard function in external validation. A new model has been developed using an estimated baseline hazard.

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References

  1. Bartels, R. H. M. A., van der Linden, Y. M., & van der Graaf, W. T. A. (2008). Spinal extradural metastasis: review of current treatment options. CA: A Cancer Journal for Clinicians, 58, 245–259.

    Article  Google Scholar 

  2. Bartels, R. H. M. A., Feuth, T., van der Maazen, R., et al. (2007). A model to predict the life expectancy of patients with spinal epidural metastasis. Cancer, 110, 2042–2049.

    Article  PubMed  Google Scholar 

  3. Moons, K. G. M., Royston, P., Vergouwe, Y., Grobbee, D. E., & Altman, D. G. (2009). Research methods & reporting. Prognosis and prognostic research: what, why, and how? BMJ, 338, b375.

    Article  PubMed  Google Scholar 

  4. Altman, D. G., & Royston, P. (2000). What do we mean by validating a prognostic model? Statistics in Medicine, 19, 453–473.

    Article  PubMed  CAS  Google Scholar 

  5. Steyerberg, E. W. (2009). Validation of prediction models. 1, 299–311.

  6. Steyerberg, E. W., Vickers, A. J., Cook, N. R., et al. (2010). Assessing the performance of prediction models. A framework for traditional and novel measures. Epidemiology, 21, 128–138.

    Article  PubMed  Google Scholar 

  7. van Houwelingen, H. C. (2010). Validation, calibration, revision and combination of prognostic survival models. Statistics in Medicine, 19, 3401–3415.

    Article  Google Scholar 

  8. van Houwelingen, H. C., & Thorogood, J. (1995). Construction, validation and updating of a prognostic model for kidney graft survival. Statistics in Medicine, 14, 1999–2008.

    Article  PubMed  Google Scholar 

  9. White, I. R., & Royston, P. (2009). Imputing missing covariate values for the Cox model. Statistics in Medicine, 28, 1982–1998.

    Article  PubMed  Google Scholar 

  10. Harrell Jr, F. E. (2001). Regression modeling strategies. With applications to linear models, logistic regression, and survival analysis. 1,

  11. Chow, E., Davis, L., Panzarella, T., et al. (2005). Accuracy of survival prediction by palliative radiation oncologists. International Journal of Radiation Oncology, Biology, Physics, 61, 870–873.

    Article  PubMed  Google Scholar 

  12. Chow, E., Harth, T., Hruby, G., Finkelstein, J., Wu, J., & Danjoux, C. (2001). How accurate are physicians’ clinical prediction of survival and the available prognostic tools in estimating survival times in terminally ill cancer patients? A systematic review. Clinical Oncology, 13, 209–218.

    PubMed  CAS  Google Scholar 

  13. Amdur, R. J., Bennett, J., Olivier, K., et al. (2009). A prospective, phase II study demonstrating the potential value and limitation of radiosurgery for spine metastases. American Journal of Clinical Oncology, 32, 515–520.

    Article  Google Scholar 

  14. Rades, D., Dunst, J., & Schild, S. E. (2008). The first score predicting overall survival in patients with metastatic spinal cord compression. Cancer, 112, 157–161.

    Article  PubMed  Google Scholar 

  15. van Houwelingen, H. C. (2000). Validation, calibration, revision and combination of prognostic survival models. Statistics in Medicine, 19, 3401–3415.

    Article  PubMed  Google Scholar 

  16. Patchell, R. A., Tibbs, P. A., Regine, W. F., et al. (2005). Direct decompressive surgical resection in the treatment of spinal cord compression caused by metastatic cancer: a randomised trial. Lancet, 366, 643–648.

    Article  PubMed  Google Scholar 

  17. Steyerberg, E. W., Mushkudiani, N., Perel, P., et al. (2008). Predicting outcome after traumatic brain injury: development and international validation of prognostic scores based on admission characteristics. PLoS Medicine, 5, e165. doi:10.1371/journal.pmed.0050165-.

    Article  PubMed  Google Scholar 

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Correspondence to Ronald H. M. A. Bartels.

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Bartels, R.H.M.A., Feuth, T., Rades, D. et al. External validation of a model to predict the survival of patients presenting with a spinal epidural metastasis. Cancer Metastasis Rev 30, 153–159 (2011). https://doi.org/10.1007/s10555-011-9271-6

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