The analyses are conducted within a target trial emulation framework to estimate the effect of tolvaptan exposure compared with non exposure on the risk of hepatotoxicity.
For Estimand 1, the main estimand supporting decision making, the primary causal effect summary measure is the hazard ratio for time to first hepatotoxicity event, estimated using a stratified Cox proportional hazards model in the propensity score-matched sample.
Sensitivity analyses will assess robustness of the primary findings to key assumptions, including inverse probability of censoring weighting (IPCW) (assuming censoring is independent of the outcome, with all common causes of both the outcome and censoring being accounted for conditional on the treatment, time-varying covariates and survival up to the time of censoring as well as indirectly baseline covariates used to estimate the treatment weights), best/worst case scenario analysis, and outcome misclassification (details in Section 7.6.5).
Two supplemental estimands are also defined: Estimand 2, applying a while-on-treatment strategy for intercurrent events, and Estimand 3, estimating treatment effects using restricted mean survival time (RMST) derived from a Propensity score matched Weibull accelerated failure time (AFT) model. In addition, supplemental analyses (e.g., crude and PS-matching adjusted Kaplan–Meier curves, crude Cox models, event counts and incidence rates, propensity score and weight distributions, covariate balance before and after weighting, censoring and intercurrent event patterns, proportional hazards diagnostics, positivity checks, and multiple-imputation diagnostics) will be conducted to support interpretation of the main analysis.
For all estimands, conditional propensity scores will be calculated, and patients will be matched accordingly. For estimand 1 and 2, the Cox model will be used to calculate the HR of hepatotoxicity of tolvaptan users vs. nonusers.