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Robustness and generalizability of smallest detectable difference in radiological progression
M N Lassere1, D van der Heijde, K Johnson
1Department of Rheumatology, St George Hospital, NSW, Sydney, Australia. lasserem@sesahs.nsw.gov.au
The Journal of Rheumatology
|May 1, 2001
Summary
The smallest detectable difference (SDD) in radiographic assessments is crucial for clinical trial design. Ensuring consistent measurement conditions is key to generalizing SDD findings across studies.
Area of Science:
- Rheumatology
- Clinical Trial Methodology
- Radiographic Assessment
Background:
- The smallest detectable difference (SDD) quantifies measurement error in clinical assessments.
- Understanding SDD is vital for designing robust clinical trials, particularly in rheumatology.
- The application of SDD to radiographic progression in rheumatoid arthritis is an emerging area.
Purpose of the Study:
- To investigate the impact of clinical and operational factors on the SDD of radiographic progression data in rheumatoid arthritis.
- To determine the generalizability of SDD values across different study conditions.
Main Methods:
- Analysis of radiographic progression data from clinical trials.
- Systematic evaluation of clinical disease aspects and trial operational factors influencing SDD.
- Comparison of SDD values under varying and constant measurement conditions.
Main Results:
- Clinical and operational factors significantly influence the SDD of radiographic progression.
- When measurement conditions are constant, SDD values are generalizable across studies.
- Variations in any single condition render the SDD unrobust and non-generalizable.
Conclusions:
- The smallest detectable difference in radiographic assessments is sensitive to study conditions.
- Standardizing clinical and operational factors is essential for reliable and generalizable SDD in rheumatoid arthritis trials.
- Future research should focus on identifying and controlling variables that impact radiographic SDD.