Long-Term Survival

Uses

How it works

Highlighted claims

• BLISS will use routinely collected mortality data to assess long-term overall survival across multiple myeloma clinical trials. — Blood Cancer Clinical Trials Long-term Follow-up Using Integrated Healthcare Systems Data (BLISS): protocol for a data-linkage study integrating randomised clinical trials with national healthcare systems data
• Long-term overall survival will be estimated using national mortality data to extend follow-up beyond trial-collected data. — Blood Cancer Clinical Trials Long-term Follow-up Using Integrated Healthcare Systems Data (BLISS): protocol for a data-linkage study integrating randomised clinical trials with national healthcare systems data
• Kaplan-Meier curves will be produced for each trial with median overall survival and confidence intervals. — Blood Cancer Clinical Trials Long-term Follow-up Using Integrated Healthcare Systems Data (BLISS): protocol for a data-linkage study integrating randomised clinical trials with national healthcare systems data
• Cox proportional hazards models will be fitted with covariate adjustment and checked using Schoenfeld residuals and graphical diagnostics. — Blood Cancer Clinical Trials Long-term Follow-up Using Integrated Healthcare Systems Data (BLISS): protocol for a data-linkage study integrating randomised clinical trials with national healthcare systems data
• Statistical cure models will estimate the cure fraction and characterise survival among uncured patients. — Blood Cancer Clinical Trials Long-term Follow-up Using Integrated Healthcare Systems Data (BLISS): protocol for a data-linkage study integrating randomised clinical trials with national healthcare systems data