Landmark Analysis
Cross-source consensus on Landmark Analysis from 1 sources and 4 claims.
1 sources · 4 claims
How it works
Preparation
Evidence quality
Highlighted claims
- The study used landmark analysis with Royston-Parmar flexible parametric survival models to assess time-varying symptoms. — Association of symptoms at heart failure diagnosis with hospitalisation and mortality at 6 and 12 months: a retrospective cohort study using UK primary care health records
- The purpose of landmark analysis was to update symptoms, treatments, physiology and disease history over time rather than rely on a single baseline measurement. — Association of symptoms at heart failure diagnosis with hospitalisation and mortality at 6 and 12 months: a retrospective cohort study using UK primary care health records
- Each symptom was identified by at least one relevant Read code in the 3 months before each landmark date. — Association of symptoms at heart failure diagnosis with hospitalisation and mortality at 6 and 12 months: a retrospective cohort study using UK primary care health records
- Landmark times were selected in advance for clinical reasons, but other intervals might capture symptom risk more precisely. — Association of symptoms at heart failure diagnosis with hospitalisation and mortality at 6 and 12 months: a retrospective cohort study using UK primary care health records