Optimizing Exclusion Criteria for Clinical Trials of Persistent Lyme Disease Using Real-World Data
This study demonstrates the importance of using RWD to optimize eligibility criteria in PLD clinical trials. By providing insights into the balance between sample attrition and scientific justification, researchers can enhance trial feasibility, generalizability, and robustness. Our RWD sample demonstrates that researchers could substantially increase the sample yield from 10% to 64% by loosening restrictions on coinfections and misdiagnoses of chronic fatigue syndrome, fibromyalgia syndrome, and psychiatric conditions.
Authors
- Lorraine Johnson (ORCID: https://orcid.org/0000-0003-4513-2106)
- Deanna Needell (ORCID: https://orcid.org/0000-0002-8058-8638)
- Mira Shapiro
- Raphael B. Stricker (ORCID: https://orcid.org/0000-0003-2149-8517)
Institutions
- University of California, Los Angeles (US)
- Medical Research Associates (US)
Publication Details
- Journal
- Healthcare
- Published
- 2024-12-25
- DOI
- https://doi.org/10.3390/healthcare13010020
- Citations
- 2
- Primary Topic
- Vector-borne infectious diseases
- Type
- article
- Field-Weighted Citation Impact
- 1.03
Funders
- National Science Foundation
- Bay Area Lyme Foundation
- Division of Mathematical Sciences