What is ClinTrial Explorer?

ClinTrial Explorer is an enterprise R Shiny application for interactive clinical trial data exploration. It is built on CDISCPILOT01 — the public CDISC Alzheimer's pilot study (xanomeline vs placebo) — and demonstrates the full range of R Shiny development patterns used in pharmaceutical companies.

Study: CDISCPILOT01 | Indication: Alzheimer's Disease | Arms: Xanomeline Low Dose (54mg), High Dose (81mg), Placebo | N=254

Architecture

This app is built with a modular Shiny pattern: each tab is a self-contained module with a _UI(), _select_UI() (sidebar), and _Server() function. Reactivity uses reactiveValues() + observeEvent() for data preparation, and reactive() for filtered outputs.

• global.R: loads packages, reads all ADaM datasets, defines helpers (vline, hline, plotly_clean, plotly_unique_legend, DataCut R6 class, grade_chip)
• ui.R: page_navbar + conditionalPanel sidebar (shows module-specific controls per tab)
• server.R: calls all module Server functions
• modules/: one .R file per domain: overview, ae, lab, vs, efficacy, swimmer

Key R Patterns Used

• Modules: NS(id), moduleServer(), _UI / _select_UI / _Server split
• reactiveValues(): stores derived data built in observeEvent()
• bindCache(input$study_id): caches SAS read by study
• conditionalPanel(): sidebar adapts to active tab
• plotly_clean(): strips toolbar (custom helper from production apps)
• plotly_unique_legend(): deduplicates legend groups
• R6 class DataCut: OOP data-cut date handler
• Swimmer plot: add_bars() horizontal + add_markers() for events
• Waterfall plot: MMSE change from baseline, colour by direction
• Spaghetti + mean±CI: dual-mode lab/VS plot
• Kaplan-Meier: survfit() + plotly lines

CDISC ADaM Datasets