Dataset Information
Objective outcome measures: Collecting meaningful data on alopecia areata.
Ontology highlight
ABSTRACT: Background
Although alopecia areata is a common disorder, it has no US Food and Drug Administration-approved treatment and evidence-based therapeutic data are lacking.Objective
To develop guidelines for the diagnosis, evaluation, assessment, response criteria, and end points for alopecia areata.Methods
Literature review and expert opinion of a group of dermatologists specializing in hair disorders.Results
Standardized methods of assessing and tracking hair loss and growth, including new scoring techniques, response criteria, and end points in alopecia areata are presented.Limitations
The additional time to perform the assessments is the primary limitation to use of the methodology in clinical practice.Conclusion
Use of these measures will facilitate collection of standardized outcome data on therapeutic agents used in alopecia areata both in clinical practice and in clinical trials.
SUBMITTER: Olsen EA
PROVIDER: S-EPMC7450487 | biostudies-literature | 2018 Sep
REPOSITORIES: biostudies-literature
Publications
Objective outcome measures: Collecting meaningful data on alopecia areata.
Journal of the American Academy of Dermatology 20171108 3
<h4>Background</h4>Although alopecia areata is a common disorder, it has no US Food and Drug Administration-approved treatment and evidence-based therapeutic data are lacking.<h4>Objective</h4>To develop guidelines for the diagnosis, evaluation, assessment, response criteria, and end points for alopecia areata.<h4>Methods</h4>Literature review and expert opinion of a group of dermatologists specializing in hair disorders.<h4>Results</h4>Standardized methods of assessing and tracking hair loss an ...[more]
