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IPD-meta

Welcome to the IPD-meta project repository. This project encompasses predictive survival analysis and meta-analysis components, designed to provide a comprehensive evaluation of clinical outcomes.

Directory Structure

IPD-meta/
├── code/              # All source code is stored here.
└── figure/            # Core result figures are stored here.

1. Predictive Survival Analysis

This section involves summarizing individual patient data from 7 clinical study cohorts. Patients are categorized into 4 groups based on their receipt of immunotherapy and the presence of emotional distress: ED/ICI, NED/ICI, ED/CT, NED/CT.

  • Objective: Calculate the Hazard Ratio (HR), 95% Confidence Interval (CI), and p-values for ICI and CT patients within the two emotional distress groups. Additionally, calculate these metrics for ED and NED patients within the two treatment groups.
  • Output: Generate survival curves to assess differences between the four groups.
  • Deliverables: Two separate survival analysis figures for Overall Survival (OS) and Progression-Free Survival (PFS).

2. Meta Analysis

In this section, we focus on selected randomized controlled trials and single-arm trials to categorize patients into ICI and CT cohorts.

  • Randomized Controlled Trials: Patients receiving atezolizumab are assigned to the ICI cohort, irrespective of prior platinum-based chemotherapy.
  • Single-Arm Trials: All individual patients are divided into ICI cohorts, resulting in a total of 12 cohorts.
  • Objective: Utilize the HR and 95% CI from each cohort to perform a meta-analysis, with treatment methods as subgroups.
  • Output: Conduct separate analyses for OS and PFS, culminating in two forest plot figures.

LICENSE

Code and documents of this work are made available for non commercial research purposes only under Apache License v2 license.

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