Literature DB >> 32926985

The Alopecia Areata Consensus of Experts (ACE) study part II: Results of an international expert opinion on diagnosis and laboratory evaluation for alopecia areata.

Nekma Meah1, Dmitri Wall2, Katherine York3, Bevin Bhoyrul4, Laita Bokhari4, Daniel Asz-Sigall5, Wilma F Bergfeld6, Regina C Betz7, Ulrike Blume-Peytavi8, Valerie Callender9, Vijaya Chitreddy4, Andrea Combalia10, George Cotsarelis11, Brittany Craiglow12, Jeff Donovan13, Samantha Eisman4, Paul Farrant14, Jack Green15, Ramon Grimalt16, Matthew Harries17, Maria Hordinsky18, Alan D Irvine19, Satoshi Itami20, Victoria Jolliffe21, Brett King22, Won-Soo Lee23, Amy McMichael24, Andrew Messenger25, Paradi Mirmirani26, Elise Olsen27, Seth J Orlow28, Bianca Maria Piraccini29, Adriana Rakowska30, Pascal Reygagne31, Janet L Roberts32, Lidia Rudnicka30, Jerry Shapiro28, Pooja Sharma4, Antonella Tosti33, Annika Vogt8, Martin Wade34, Leona Yip35, Abraham Zlotogorski36, Rodney D Sinclair4.   

Abstract

BACKGROUND: We previously reported the Alopecia Areata Consensus of Experts study, which presented results of an international expert opinion on treatments for alopecia areata.
OBJECTIVE: To report the results of the Alopecia Areata Consensus of Experts international expert opinion on diagnosis and laboratory evaluation for alopecia areata.
METHODS: Fifty hair experts from 5 continents were invited to participate in a 3-round Delphi process. Consensus threshold was set at greater than or equal to 66%.
RESULTS: Of 148 questions, expert consensus was achieved in 82 (55%). Round 1 consensus was achieved in 10 of 148 questions (7%). Round 2 achieved consensus in 47 of 77 questions (61%). The final face-to-face achieved consensus in 25 of 32 questions (78%). Consensus was greatest for laboratory evaluation (12 of 14 questions [86%]), followed by diagnosis (11 of 14 questions [79%]) of alopecia areata. Overall, etiopathogenesis achieved the least category consensus (31 of 68 questions [46%]). LIMITATIONS: The study had low representation from Africa, South America, and Asia.
CONCLUSION: There is expert consensus on aspects of epidemiology, etiopathogenesis, clinical features, diagnosis, laboratory evaluation, and prognostic indicators of alopecia areata. The study also highlights areas where future clinical research could be directed to address unresolved hypotheses in alopecia areata patient care.
Copyright © 2020 American Academy of Dermatology, Inc. All rights reserved.

Entities:  

Keywords:  Delphi; alopecia areata; assessment; consensus; guideline

Year:  2020        PMID: 32926985     DOI: 10.1016/j.jaad.2020.09.028

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


  4 in total

1.  Classification Framework for Healthy Hairs and Alopecia Areata: A Machine Learning (ML) Approach.

Authors:  Choudhary Sobhan Shakeel; Saad Jawaid Khan; Beenish Chaudhry; Syeda Fatima Aijaz; Umer Hassan
Journal:  Comput Math Methods Med       Date:  2021-08-14       Impact factor: 2.238

2.  Learning from disease registries during a pandemic: Moving toward an international federation of patient registries.

Authors:  Dmitri Wall; Raed Alhusayen; Bernd Arents; Christian Apfelbacher; Esther A Balogh; Laita Bokhari; Manja Bloem; Angela L Bosma; Tim Burton; Leslie Castelo-Soccio; Nicole Fagan; Steven R Feldman; Godfrey Fletcher; Carsten Flohr; Esther Freeman; Lars E French; Christopher E M Griffiths; George J Hruza; John R Ingram; Michael D Kappelman; Irene Lara-Corrales; Henry W Lim; Nekma Meah; Devon E McMahon; Satveer K Mahil; Ian McNicoll; Annelie Musters; Haley B Naik; Rodney Sinclair; Catherine H Smith; Phyllis Spuls; Desmond J Tobin; Katherine York; Alan D Irvine
Journal:  Clin Dermatol       Date:  2021-04-06       Impact factor: 3.541

Review 3.  Defining Severity in Alopecia Areata: Current Perspectives and a Multidimensional Framework.

Authors:  Brett A King; Maryanne M Senna; Manabu Ohyama; Antonella Tosti; Rodney D Sinclair; Susan Ball; Justin M Ko; Marc Glashofer; Rodrigo Pirmez; Jerry Shapiro
Journal:  Dermatol Ther (Heidelb)       Date:  2022-03-31

Review 4.  Measuring Patient Quality of Life Following Treatment for Alopecia.

Authors:  Kunlawat Thadanipon; Poonkiat Suchonwanit
Journal:  Patient Prefer Adherence       Date:  2021-07-16       Impact factor: 2.711

  4 in total

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