Joint longitudinal-survival model

Overview

Statistical model jointly fitting a longitudinal biomarker trajectory (e.g., tumor volume over time) and a time-to-event (survival) submodel, allowing estimation of how the evolving biomarker value predicts hazard of the event while accounting for informative dropout.

Used by

• PMID:37910594 — joint modeling of longitudinal volumetric MRI and survival outcomes in 128 IDH-mutant Grade 2 gliomas showed that each 1-unit increase in ln(tumor volume) conferred HR=1.61 (95% CI 1.33–1.95, P<0.0001) for next-intervention-free survival (NIFS) and HR=3.83 (95% CI 2.32–6.30, P<0.0001) for overall survival; each 10% tumor volume increase corresponded to a 5% NIFS risk increase and 14% death risk increase PMID:37910594.

Notes

• Supports TVGR on volumetric MRI as a surrogate endpoint for IDH-mt LGG active-surveillance trials PMID:37910594.

Sources

• PMID:37910594

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