© 2003 by Oxford University Press
Journal of the National Cancer Institute, Vol. 95, No. 9, 634-635,
May 7, 2003
© 2003 Oxford University Press
EDITORIAL |
Judging New Markers by Their Ability to Improve Predictive Accuracy
Correspondence to: Michael W. Kattan, Ph.D., Health Outcomes Research Group, Department of Epidemiology and Biostatistics and Department of Urology, Memorial Sloan-Kettering Cancer Center, 1275 York Ave., New York, NY 10021 (e-mail: kattanm@mskcc.org).
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The man who has recently received a radical prostatectomy to treat his clinically localized prostate cancer now faces an important decision: whether or not adjuvant therapy would be beneficial. Clearly, a major factor in this decision is the likelihood of his disease recurring in the absence of additional therapy. There are at least three well-documented prognostic models for use in this setting, and each predicts the likelihood of biochemical progression (i.e., prostate-specific antigen [PSA]-defined recurrence of prostate cancer). Partin et al. (1) developed an equation they called "Rw"; Blute et al. (2) devised the "GPSM" score (which includes the Gleason score, PSA level, seminal vesicle status, and margin status), and Kattan et al. (3) derived
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