forestly

Overview

The forestly package creates interactive forest plots for clinical trial analysis & reporting.

• Safety analysis
  • Specific adverse events analysis
• Efficacy analysis (future work)
  • Subgroup analysis

forestly_screenrecording.mp4

We assume ADaM datasets are ready for analysis and leverage metalite data structure to define inputs and outputs.

Workflow

The general workflow is:

1. meta_forestly() constructs input metadata for treatment analysis from ADaM datasets.
2. prepare_ae_forestly() prepares datasets for interactive forest plot.
3. format_ae_forestly() formats output layout.
4. ae_forestly() generates an interactive forest plot.

Here is a quick example

library("forestly")

meta_forestly(
  forestly_adsl,
  forestly_adae,
  population_term = "apat",
  observation_term = "wk12"
) |>
  prepare_ae_forestly(parameter = "any;rel;ser") |>
  format_ae_forestly() |>
  ae_forestly()

Interactive features

The interactive features for safety analysis include:

• Select different AE criteria.
• Filter by incidence of AE in one or more groups.
• Reveal information by hovering the mouse over a data point.
• Search bars to find subjects with selected adverse events (AEs).
• Sort value by clicking the column header.
• Drill-down listing by clicking $\blacktriangleright$.

References

• Paper: 2023 PHUSE US Connect
• Talk: 2021 R/Pharma Conference