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Identification and mitigation of a systematic analysis error in a multicenter dual-energy x-ray absorptiometry study
Gayle M Lorenzi1, Barbara H Braffett2, Ionut Bebu2
1University of California San Diego, La Jolla, CA, USA.
Clinical Trials (London, England)
|April 22, 2025
Summary
A systematic error in bone density scans led to incorrect osteoporosis diagnoses in a diabetes study. A quality assurance plan helped correct results and ensure participant safety, preventing unnecessary treatment.
Area of Science:
- Clinical Research
- Data Integrity
- Quality Assurance
Background:
- Multicenter and longitudinal studies require robust data integrity measures.
- Sharing results with participants necessitates accurate and reproducible data.
- A quality assurance plan is crucial for monitoring and mitigating errors.
Purpose of the Study:
- To report a systematic error in bone mineral density (BMD) hip scan analysis.
- To describe the mitigation and communication plan implemented to ensure participant safety.
- To highlight the importance of quality assurance in multicenter clinical studies.
Main Methods:
- Ancillary bone mineral density study across 27 sites using dual x-ray absorptiometry scanners.
- Identified a systematic error in hip scan readings from one scanner type.
- Implemented a mitigation plan involving scan reanalysis and participant communication.
Main Results:
- An error in hip scan analysis led to lower BMD scores, misclassifying osteoporosis.
- Fourteen scans initially indicating osteoporosis or low BMD were reanalyzed, with reclassifications occurring in 10 scans.
- A broader review identified additional scans requiring reanalysis, with 12 reclassifications.
Conclusions:
- Analysis errors can impact participant safety, potentially leading to unnecessary treatment.
- A coordinated communication and mitigation plan is essential for accurate results and participant care.
- This study provides a framework for managing data integrity issues in clinical research.
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