Individual Patient-Level Meta-Analysis of the Performance of the Decipher Genomic Classifier in High-Risk Men After Prostatectomy to Predict Development of Metastatic Disease.
Publication/Presentation Date
6-20-2017
Abstract
Purpose To perform the first meta-analysis of the performance of the genomic classifier test, Decipher, in men with prostate cancer postprostatectomy. Methods MEDLINE, EMBASE, and the Decipher genomic resource information database were searched for published reports between 2011 and 2016 of men treated by prostatectomy that assessed the benefit of the Decipher test. Multivariable Cox proportional hazards models fit to individual patient data were performed; meta-analyses were conducted by pooling the study-specific hazard ratios (HRs) using random-effects modeling. Extent of heterogeneity between studies was determined with the I
Volume
35
Issue
18
First Page
1991
Last Page
1998
ISSN
1527-7755
Published In/Presented At
Spratt, D. E., Yousefi, K., Deheshi, S., Ross, A. E., Den, R. B., Schaeffer, E. M., Trock, B. J., Zhang, J., Glass, A. G., Dicker, A. P., Abdollah, F., Zhao, S. G., Lam, L. L. C., du Plessis, M., Choeurng, V., Haddad, Z., Buerki, C., Davicioni, E., Weinmann, S., Freedland, S. J., … Feng, F. Y. (2017). Individual Patient-Level Meta-Analysis of the Performance of the Decipher Genomic Classifier in High-Risk Men After Prostatectomy to Predict Development of Metastatic Disease. Journal of clinical oncology : official journal of the American Society of Clinical Oncology, 35(18), 1991–1998. https://doi.org/10.1200/JCO.2016.70.2811
Disciplines
Business Administration, Management, and Operations | Health and Medical Administration | Management Sciences and Quantitative Methods
PubMedID
28358655
Department(s)
Administration and Leadership
Document Type
Article