Novel Causal Inference Method Estimates Treatment Effects of Contemporary Drugs in a Global Cohort of Patients with Relapsed and Refractory Mature T-Cell and NK-Cell Neoplasms

There is no universal approach to treat patients with relapsed and refractory (RR) mature T-cell and NK-cell neoplasms (TNKL). While participation in a clinical trial is favored, appropriate options are often unavailable. Thus, outside of a trial, physicians may rely on real world evidence when making a treatment choice. We hypothesized that innovative causal predictive models that utilize existing clinical information could estimate comparative efficacy of various treatments and support clinical decision making.