Literature DB >> 31163240

Measuring psoriatic arthritis symptoms: A core domain in psoriasis clinical trials.

Lourdes Maria Perez-Chada1, Alice Bendix Gottlieb2, Jeffrey Cohen3, Philip Mease4, Kristina Callis Duffin5, Amit Garg6, John Latella7, April Wang Armstrong8, Alexis Ogdie9, Joseph Frank Merola10.   

Abstract

BACKGROUND: The International Dermatology Outcome Measures established a set of core domains to be measured in all psoriasis trials. This set requires that symptoms of psoriatic arthritis (PsA) be measured in all psoriasis studies.
OBJECTIVE: To identify the approach to PsA screening and the most appropriate outcome measure for capturing PsA symptoms.
METHODS: Following guidelines (ie, the COnsensus-based Standards for the selection of health Measurement INstruments, Core Outcome Measures in Effectiveness Trials Initiative, and Outcome Measures in Rheumatology Handbook), we conducted a consensus-building study that included patients, physicians, industry partners, and patient association representatives. The process consisted of a literature review and quality appraisal of measures for PsA symptoms, a pre-Delphi exercise, a Delphi survey, and a consensus meeting.
RESULTS: Among the 297 expert participants in the Delphi survey, 87.5% agreed that all patients in a psoriasis trial should be screened for PsA with a validated screening tool. Regarding the measurement of PsA symptoms, the preferred instrument was the Psoriatic Arthritis Impact of Disease-9 (PsAID9), with the Routine Assessment Patient Index Data-3 (RAPID3) representing an acceptable alternative. LIMITATIONS: Only International Dermatology Outcome Measures members participated in the consensus meeting.
CONCLUSION: The overwhelming majority of expert stakeholders agreed that all psoriasis trial participants should be screened for PsA, with PsA symptoms measured by using PsAID9 (or alternatively with RAPID3).
Copyright © 2019. Published by Elsevier Inc.

Entities:  

Keywords:  clinical trials; patient-reported outcome measures; psoriatic arthritis; psychometric; screening

Year:  2019        PMID: 31163240     DOI: 10.1016/j.jaad.2019.05.075

Source DB:  PubMed          Journal:  J Am Acad Dermatol        ISSN: 0190-9622            Impact factor:   11.527


  2 in total

Review 1.  International Dermatology Outcome Measures (IDEOM): Report from the 2020 Annual Meeting.

Authors:  Alison H Kohn; Afsaneh Alavi; April W Armstrong; Folawiyo Babalola; Amit Garg; Alice B Gottlieb; Lesley Grilli; Gregor Borut Ernst Jemec; John Latella; Kendall Marcus; Joseph F Merola; Alex G Ortega-Loayza; Daniel M Siegel; Vibeke Strand; Jerry K L Tan; Lourdes M Perez-Chada
Journal:  Dermatology       Date:  2021-09-17       Impact factor: 5.197

2.  Data Mining and Meta-Analysis of Psoriasis Based on Association Rules.

Authors:  Jiarui Ou; Jianglin Zhang
Journal:  J Healthc Eng       Date:  2022-01-27       Impact factor: 2.682

  2 in total

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