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Published on: October 9, 2016
Biologic discontinuation studies: a systematic review of methods
Kazuki Yoshida1, Yoon-Kyoung Sung, Arthur Kavanaugh
1Division of Rheumatology, Immunology and Allergy, Brigham and Women's Hospital, , Boston, Massachusetts, USA.
This review of rheumatoid arthritis (RA) biologic discontinuation studies found small sample sizes and varied definitions of treatment failure. Future research needs standardized failure criteria for better comparison of biologic therapies.
Area of Science:
- Rheumatology
- Clinical Trial Design
- Pharmacotherapy
Background:
- Biologic therapies are crucial for managing rheumatoid arthritis (RA).
- Understanding outcomes after discontinuing biologics is essential for treatment optimization.
- Existing studies on biologic discontinuation in RA exhibit considerable heterogeneity.
Purpose of the Study:
- To systematically review the study designs employed in biologic discontinuation research for rheumatoid arthritis (RA).
- To critically assess the various definitions of 'failure' used in these studies.
- To identify limitations and areas for improvement in the design of RA biologic discontinuation trials.
Main Methods:
- A systematic literature search was conducted on PubMed, identifying 403 studies.
- Nine published papers and five abstracts were included for detailed analysis.
- A structured data extraction form was utilized to collect information on study design and failure definitions.
Main Results:
- Three main study types were identified: randomized controlled trials, long-term extension studies, and prospective discontinuation studies.
- The majority of studies permitted the concurrent use of non-biologic disease-modifying antirheumatic drugs (DMARDs).
- Significant heterogeneity was observed in failure definitions, with differing thresholds and time points for assessing disease activity, and limited incorporation of changes in non-biologic DMARD or glucocorticoid use.
Conclusions:
- While numerous studies address biologic discontinuation in RA, they are generally characterized by small sample sizes.
- Registries may offer valuable real-world data but necessitate broader, more inclusive definitions of treatment failure.
- Standardization of failure definitions is crucial for enhancing the comparability and interpretability of findings across studies.
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