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Methods for therapeutic trials in COPD: lessons from the TORCH trial
O N Keene1, J Vestbo, J A Anderson
1GlaxoSmithKline Research and Development, Stockley Park, 1-3 Iron Bridge Road, Uxbridge, Middlesex UB11 1BU, UK. oliver.n.keene@gsk.com
The European Respiratory Journal
|November 3, 2009
Summary
The TORCH trial revealed challenges in analyzing long-term COPD data, particularly concerning off-treatment exacerbations. Careful on-treatment analysis and negative binomial models are crucial for accurate results in chronic obstructive pulmonary disease trials.
Area of Science:
- Pulmonary Medicine
- Clinical Trial Design
- Statistical Analysis
Background:
- Long-term trials in chronic obstructive pulmonary disease (COPD) face design and analysis challenges.
- Collection of off-treatment exacerbation data can obscure treatment effects when patients withdraw for effective medications.
Purpose of the Study:
- To address issues in the design and analysis of long-term COPD trials, specifically regarding exacerbation data and inhaled corticosteroid (ICS) use.
- To evaluate the impact of prior ICS use on exacerbation rates in COPD patients.
Main Methods:
- Analysis of on-treatment exacerbation data to avoid bias from off-treatment data.
- Utilizing the negative binomial model for statistical analysis of exacerbation rates.
- Supplementing with time-to-exacerbation analysis.
Main Results:
- Patients with prior ICS use had higher exacerbation rates across all treatments in the TORCH trial.
- Retrospective analysis suggested ICS reduced exacerbation rates compared to placebo, irrespective of prior ICS use.
- Factorial analysis was considered for combination treatments but has limitations regarding interaction assumptions.
Conclusions:
- On-treatment data analysis, combined with withdrawal pattern assessment, is vital for unbiased results in COPD trials.
- Inhaled corticosteroids may reduce exacerbation rates in COPD patients.
- Further research is needed to determine the effect of ICS on COPD mortality.
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