REFERENCES
- Altman, D.G.; Lyman, G.H. Methodological challenges in the evaluation of prognostic factors in breast cancer. Breast Cancer Res Treat 1998, 52, 289–303.
- Laird, M.M.; Mosteller, F. Some statistical methods for combining experimental results. Int J Technol Assess Health Care 1990, 6, 5–30.
- Higgins, J.P.; Thompson, S.G.; Deeks, J.J.; Altman D. Measuring inconsistency in meta- analyses. Brit Med J 2003, 327, 557–560.
- DerSimonian, R.; Laird, N.M. Meta-analysis in clinical trials. Contr Clin Trials 1986, 7, 177–188.
- van't Veer, L.J.; Dai, H.; van De Vijver, M.J.; Gene expression profiling predicts clinical outcome of breast cancer. Nature 2002, 415, 530–536.
- van De Vijver, M.J.; He, Y.D.; van't Veer, L.J.; A gene-expression signature as a predictor of survival in breast cancer. N Engl J Med 2002, 347, 1999–2009.
- Ahr, A.; Karn, T.; Solbach, C.; Identification of high risk breast-cancer patients by gene expression profiling. Lancet 2002, 359, 131–132.
- Bertucci, F.; Nasser, V.; Granjeaud, S.; Gene expression profiles of poor prognosis primary breast cancer correlate with survival. Hum Mol Genet 2002, 11, 863–872.
- Huang, E.; Cheng, S.H.; Dressman, H.; Gene expression predictors of breast cancer outcomes. Lancet 2003, 361, 1590–1596.
- Iwao, K.; Matoba, R.; Ueno, N.; Molecular classification of primary breast tumors possessing distinct prognostic properties. Hum Mol Genet 2002, 11, 199–206.
- Paik, S.; Shak, S.; Tang, G.; A multigene assay to predict recurrence of tamoxifen-treated, node negative breast cancer. N Engl J Med 2004, 351, 2817–2826.
- Esteva, F.J.; Sahin, A.A.; Coombes, L.; Multi-gene RT-PCR assay for predicting recurrence in node-negative breast cancer patients that did not receive adjuvant tamoxifen nor chemotherapy. Breast Cancer Res Treat 2004, 88(suppl l), 1–253.
- Esteva, F.J.; Sahin, A.A.; Cristofanilli, M.; Prognostic role of a multi-gene RT-PCR assay in patients with node-negative breast cancer not receiving adjuvant systemic therapy. Clin Cancer Res 2005, 104, 676–681.
- Wang, Y.; Klijn, J.G.M.; Zhang, Y.; Gene-expression profiles to predict distant metastasis of lymph-node negative primary breast cancer. Lancet 2005, 365, 671–679.
- Simon, R.; Radmacher, M.D.; Dobbin, K.; McShane, L.M. Pitfalls in the use of DNA micro- array data for diagnostic and prognostic classification. J Natl Cancer Inst 2003, 95, 14–18.
- Ntzani, E.E.; loannidis JPA Predictive ability of DNA microarrays for cancer outcomes and correlates: an empirical assessment. Lancet 2003, 362, 1439–1444.
- Simon, R. Diagnostic and prognostic prediction using gene expression profiles in high- dimensional microarray data. Brit J Cancer 2003, 89, 1599–1604.
- Lyman, G.H.; Djulbegovic, B. The challenge of systematic reviews in cancer screening, diagnostic and staging studies. Cancer Treat Rev 2005, 31, 628–639.
- Deeks, J. J. Systematic reviews of evaluations of diagnostic and screening tests. BMJ 2001, 323, 157–162.
- Vamvakas, E. Meta-analysis of studies of the diagnostic accuracy of laboratory tests: a review of the concepts and methods. Arch Pathol Lab Med 1998, 122, 675–686.
- Irwig, L.; Tosteson, A.N.A.; Gatsonis, C.; Guidelines for meta-analysis evaluating diag nostic tests. Ann Intern Med 1994, 120, 667–676.
- Shepes, S.B.; Schechter, M.T. The assessment of diagnostic tests. J Am Med Assoc 1984, 252(17), 2418–2422.
- Lyman, G.H.; Kuderer, N.M. The strengths and limitations of meta-analyses based on aggregate patient data. BMC Med Res Methodol 2005, 5(14), 1–7.