Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
10908922 | Leukemia Research | 2014 | 5 Pages |
Abstract
Accruing data since 2001, the SEER-Medicare dataset is an outstanding resource for MDS-related comparative effectiveness research; however, although several MDS prognostic models exist, complete data required to calculate them are not available therein. Using SEER-Medicare as a training and internal validation set (n = 9820) and clinical data at our institution as an external validation set (n = 307), we created a new MDS risk score (the SMMRS) for use with SEER-Medicare. Risk stratification by the SMMRS was comparable to the IPSS (net reclassification improvement index was 0.0), demonstrating that it is a useful research tool to stratify MDS patients in studies using SEER-Medicare.
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Authors
Hajime Uno, Angel M. Cronin, Martha Wadleigh, Deborah Schrag, Gregory A. Abel,