Description Module

Description Module

The Description Module contains narrative descriptions of the clinical trial, including a brief summary and detailed description. These descriptions provide important information about the study's purpose, methodology, and key details in language accessible to both researchers and the general public.

Description Module path is as follows:

Study -> Protocol Section -> Description Module

Description Module


Ignite Creation Date: 2025-12-24 @ 2:14 PM
Ignite Modification Date: 2025-12-24 @ 2:14 PM
NCT ID: NCT07144995
Brief Summary: This anchored matching-adjusted indirect comparison (MAIC) evaluates the relative efficacy of fruquintinib-paclitaxel (using IPD from the FRUTIGA trial, n=703) versus ramucirumab-paclitaxel (using published AgD from RAINBOW-Asia, n=440) in advanced gastric/GEJ adenocarcinoma. Baseline characteristics are adjusted via entropy balancing weights. Primary endpoint is progression-free survival (PFS) analyzed by Bucher method; secondary endpoints include overall survival (OS) and objective response rate (ORR). Sensitivity analyses comprise restricted mean survival time (RMST) analysis and simulated treatment comparison (STC).
Detailed Description: This retrospective MAIC analysis employs individual patient data (IPD) from the FRUTIGA trial (fruquintinib arm) and published aggregate data (AgD) from RAINBOW-Asia (ramucirumab arm), with placebo as the common anchor. Pseudo individual participant data (Pseudo-IPD) for the RAINBOW-Asia trial were reconstructed from published Kaplan-Meier curves using the Guyot algorithm (2012). •Weighting Methodology: Seven prognostic factors balanced: age \<65, male sex, ECOG 0, GEJ primary, peritoneal metastases, metastatic sites, prior doublet chemotherapy Optimization via BFGS algorithm (convergence tolerance 1e-6) Effective sample size (ESS) retention: \> 50% •Statistical Analysis: Primary: Adjusted PFS hazard ratio (HR) using Bucher method with 95% bootstrap CI (100 iterations) Secondary: Weighted Cox models for OS; logistic regression for ORR/DCR Sensitivity: Simulated Treatment Comparison (STC) and covariate threshold analyses •Sensitivity Analyses: RMST analyses were conducted as supportive evidence alongside primary Cox models for time-to-event endpoints violating proportional hazards assumptions. Restricted mean survival time (RMST) Simulated Treatment Comparison (STC) Bootstrap confidence intervals (100 iterations)
Study: NCT07144995
Study Brief:
Protocol Section: NCT07144995