Development and Validation of Algorithms for Identifying Lines of Therapy in Multiple Myeloma using Real-World Data - Supplementary material
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https://figshare.com/articles/dataset/Development_and_Validation_of_Algorithms_for_Identifying_Lines_of_Therapy_in_Multiple_Myeloma_using_Real-World_Data_-_Supplementary_material/25012844
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Supplementary Table 1. Criteria for identifying CRAB symptoms and SCT
Supplementary Table 2. Algorithm accuracy at predicting specific regimens in LOT1: aggregate population
Supplementary Table 3. Algorithm accuracy at predicting specific regimens in LOT1: SCT cohort
Supplementary Table 4. Algorithm accuracy at predicting specific regimens in LOT1: non-SCT cohort
Supplementary Table 5. Algorithm performance for regimens identified in LOT2, as verified by clinician review of unstructured information from electronic health records
Supplementary Table 6. Algorithm performance for regimens identified in LOT3, as verified by clinician review of unstructured information from electronic health records
Supplementary Table 7 Algorithm accuracy at predicting specific maintenance therapies used in LOT1: aggregate population
Supplementary Table 8. Algorithm accuracy at predicting specific maintenance therapies used in LOT1: SCT cohort
Supplementary Table 9. Algorithm accuracy at predicting specific maintenance therapies used in LOT1: non-SCT cohort
Supplementary Figure 1. Decision rules for identifying lines of therapy. A. Aggregate population. B. SCT cohort. C. Non-SCT cohort. FLT = first-line therapy; LOT = line of therapy; SCT = stem cell transplant.
创建时间：
2024-01-17
