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Data extraction error in pharmaceutical versus non-pharmaceutical interventions for evidence synthesis: Study
Yi Zhu1,2,3, Pengwei Ren4, Suhail A R Doi5
1MOE Key Laboratory of Population Health Across Life Cycle (Anhui Medical University), No. 81 Meishan Road, Hefei, Anhui, China.
Contemporary Clinical Trials Communications
|July 31, 2023
Summary
Data extraction errors are more common in pharmaceutical trials. This crossover trial will compare error rates between pharmaceutical and non-pharmaceutical interventions to improve research synthesis and guidelines.
Area of Science:
- Clinical Research Methodology
- Evidence Synthesis
- Data Management in Healthcare
Background:
- Data extraction is critical for research synthesis, but errors are prevalent.
- A higher incidence of data extraction errors has been observed in pharmaceutical intervention trials compared to non-pharmaceutical ones.
- Understanding these differences is crucial for refining guidelines, practices, and policies in evidence-based medicine.
Purpose of the Study:
- To investigate potential variations in data extraction error rates between pharmaceutical and non-pharmaceutical randomized controlled trials (RCTs).
- To provide empirical evidence that can inform best practices in data extraction for systematic reviews and meta-analyses.
Main Methods:
- A crossover, multicenter, investigator-blinded trial involving 90 postgraduate students.
- Participants will perform data extraction on 10 pharmaceutical RCTs and 10 non-pharmaceutical RCTs in a randomized sequence.
- Error rates will be assessed at cell, study, and participant levels before and after a double-checking process, analyzed using generalized linear mixed effects models.
Main Results:
- The primary outcome is the comparison of data extraction error rates between pharmaceutical and non-pharmaceutical intervention groups prior to double-checking.
- Secondary outcomes include error rates after the double-checking process.
- Subgroup analyses will explore the impact of reviewer experience and extraction time on error rates.
Conclusions:
- This trial is expected to yield significant evidence regarding the differential rates of data extraction errors.
- Findings will contribute to the development of improved data extraction strategies and more robust systematic review guidelines.
- The results will have implications for enhancing the quality and reliability of evidence synthesis across various medical fields.
Keywords:
Data extraction errorNon-pharmaceutical interventionPharmaceutical interventionProtocolRandomized controlled trialMore Related Videos
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