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Expert Perspectives on Key Parameters that Impact Interpretation of Randomized Clinical Trials in Moderate-to-Severe Atopic Dermatitis
The recent advent of numerous clinical trials for the treatment of moderate-to-severe atopic dermatitis has led to new and emerging therapeutic options for this chronic inflammatory skin disease. With this rapid development has come a lack of consistency in study designs, trial conduct, and statisti...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8776679/ https://www.ncbi.nlm.nih.gov/pubmed/34699031 http://dx.doi.org/10.1007/s40257-021-00639-y |
Sumario: | The recent advent of numerous clinical trials for the treatment of moderate-to-severe atopic dermatitis has led to new and emerging therapeutic options for this chronic inflammatory skin disease. With this rapid development has come a lack of consistency in study designs, trial conduct, and statistical analyses. Healthcare providers are challenged to interpret how variations in study parameters may influence clinical trial results. Based on literature review and our experience as clinical trialists, we compiled a list of 22 key study parameters of contemporary clinical trials in moderate-to-severe atopic dermatitis and ranked the top study parameters that may have a significant effect on efficacy results. The top parameters included study comparators, rules for rescue treatment, washout periods for topical and systemic treatments, inclusion criteria such as disease severity by Eczema Area and Severity Index and/or Investigator Global Assessment scores, and the duration of the screening period. We describe considerations for these key parameters, with a focus on between-parameter interactions and effect on efficacy results. This may serve to inform the interpretation of atopic dermatitis clinical trials and raise the profile of the need to harmonize the clinical trial design. |
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