2021
DOI: 10.1007/s40257-021-00639-y
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Expert Perspectives on Key Parameters that Impact Interpretation of Randomized Clinical Trials in Moderate-to-Severe Atopic Dermatitis

Abstract: 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 compile… Show more

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Cited by 18 publications
(14 citation statements)
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“…when patients drop out because they ‘feel good’) or underestimate treatment efficacy (e.g. participants could have improved if they had been retained) 17 . In these analyses, high levels of efficacy were consistently observed in patients treated with abrocitinib irrespective of imputation approach.…”
Section: Discussionmentioning
confidence: 82%
See 1 more Smart Citation
“…when patients drop out because they ‘feel good’) or underestimate treatment efficacy (e.g. participants could have improved if they had been retained) 17 . In these analyses, high levels of efficacy were consistently observed in patients treated with abrocitinib irrespective of imputation approach.…”
Section: Discussionmentioning
confidence: 82%
“…A strength of this report is the use of different methodologies for imputing missing data (NRI and LOCF) for a transparent view of these long‐term efficacy data. There is no consensus on which imputation approach is best 16 ; NRI is considered the most conservative, ‘worst‐case’ scenario, potentially underestimating treatment efficacy because missing data are presumed to be nonresponses 16,17 . LOCF may overestimate treatment efficacy by sustaining responses (e.g.…”
Section: Discussionmentioning
confidence: 99%
“…Other approved treatments in this age group, including dupilumab, have also shown substantial efficacy . Interpretation of comparisons between trial results is challenging due to differences in study design, analysis methods, and populations, and any comparison only on primary end points at week 16 would ignore both the chronic nature of the disease and the changes reported by the patient. It is notable that the safety profile of tralokinumab is favorable; although no statistical comparisons have been made, the frequency of acne is numerically lower than that reported with Janus kinase inhibitors, and the frequency of conjunctivitis in adolescents is numerically lower than that reported with dupilumab .…”
Section: Discussionmentioning
confidence: 99%
“…Also, it is possible that differences in trial design, such as TCS use not being standardized across trials and different washout periods, limit cross-trial comparability in the AD research landscape. Heterogeneity across trials designs and statistical analysis that impact study outcomes in AD clinical research has been identified as a challenge for healthcare providers [ 22 ], though in this instance, there is evidence that these may favor dupilumab [ 23 ]. The lack of longer-term follow-up in our analysis also represents a limitation.…”
Section: Discussionmentioning
confidence: 99%