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  • 1
    In: Skin Pharmacology and Physiology, S. Karger AG, Vol. 30, No. 2 ( 2017), p. 102-114
    Abstract: 〈 b 〉 〈 i 〉 Background/Aims: 〈 /i 〉 〈 /b 〉 Psoriasis plaque tests (PPTs) are important tools in the early phases of antipsoriatic drug development. Two distinct PPT design variants (open vs. occluded drug application) are commonly used, but no previous work has aimed to directly compare and contrast their performance. 〈 b 〉 〈 i 〉 Methods: 〈 /i 〉 〈 /b 〉 We compared the antipsoriatic efficacy of mapracorat 0.1% ointment and reference drugs reported in 2 separate studies, representing open and occluded PPT designs. The drug effect size was measured by sonography (mean change in echo-poor band thickness), chromametry, and standardized clinical assessment. 〈 b 〉 〈 i 〉 Results: 〈 /i 〉 〈 /b 〉 Antipsoriatic effects were detectable for the study drugs in both occluded and open PPTs. Differences between the potency of antipsoriatic drugs and vehicle were observable. The total antipsoriatic effect size appeared to be higher in the occluded PPT than the open PPT, despite the shorter treatment duration (2 vs. 4 weeks). Effect dynamics over time revealed greater differences between some study drugs in the open PPT compared to the occluded PPT. 〈 b 〉 〈 i 〉 Conclusion: 〈 /i 〉 〈 /b 〉 Taking the higher technical challenges for the open PPT into account, we recommend the occluded PPT as a standard screening setting in early drug development. In special cases, considering certain drug aspects or study objectives that would require procedural adaptations, an open PPT could be the better-suited design. Finally, both PPT models show clear advantages: classification as phase I studies, small number of psoriatic subjects, relatively short study duration, excellent discrimination between compounds and concentrations, parallel measurement of treatment response, and go/no go decisions very early in clinical development.
    Type of Medium: Online Resource
    ISSN: 1660-5527 , 1660-5535
    Language: English
    Publisher: S. Karger AG
    Publication Date: 2017
    detail.hit.zdb_id: 1483572-1
    SSG: 15,3
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  • 2
    In: Digital Biomarkers, S. Karger AG
    Abstract: 〈 b 〉 〈 i 〉 Background: 〈 /i 〉 〈 /b 〉 Assessment of reliability is one of the key components of the validation process designed to demonstrate that a novel clinical measure assessed by a digital health technology tool is fit-for-purpose in clinical research, care, and decision-making. Reliability assessment contributes to characterization of the signal-to-noise ratio and measurement error and is the first indicator of potential usefulness of the proposed clinical measure. 〈 b 〉 〈 i 〉 Summary: 〈 /i 〉 〈 /b 〉 Methodologies for reliability analyses are scattered across literature on validation of PROs, wet biomarkers, etc., yet are equally useful for digital clinical measures. We review a general modeling framework and statistical metrics typically used for reliability assessments as part of the clinical validation. We also present methods for the assessment of agreement and measurement error, alongside modified approaches for categorical measures. We illustrate the discussed techniques using physical activity data from a wearable device with an accelerometer sensor collected in clinical trial participants. 〈 b 〉 〈 i 〉 Key Messages: 〈 /i 〉 〈 /b 〉 This paper provides statisticians and data scientists, involved in development and validation of novel digital clinical measures, an overview of the statistical methodologies and analytical tools for reliability assessment.
    Type of Medium: Online Resource
    ISSN: 2504-110X
    Language: English
    Publisher: S. Karger AG
    Publication Date: 2023
    detail.hit.zdb_id: 2906645-1
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