Evidence map›Paper›PMID 42547478›Full record

ArticleAnnals of dermatology2026

The Definition of Psoriasis Severity and Treatment Target of Psoriasis: Korean Expert Consensus Using the Modified Delphi Method.

Chul Hwan Bang, Yoo Sang Baek, Tae-Gyun Kim, Ki-Heon Jeong, Jeong Eun Kim, Seong Jin Jo, Eun-So Lee, Yong Beom Choe, Korean Society for Psoriasis

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Article in Annals of dermatology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Chul Hwan BangDepartment of Dermatology, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea.ORCID https://orcid.org/0000-0002-6246-0331
Yoo Sang BaekDepartment of Dermatology, Guro Hospital, Korea University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0002-8667-2814
Tae-Gyun KimDepartment of Dermatology, Severance Hospital, Cutaneous Biology Research Institute, Yonsei University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0002-2116-4579
Ki-Heon JeongDepartment of Dermatology, College of Medicine, Kyung Hee University, Seoul, Korea.ORCID https://orcid.org/0000-0001-6908-0932
Jeong Eun KimDepartment of Dermatology, Hanyang University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0002-4368-1243
Seong Jin JoDepartment of Dermatology, Seoul National University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0002-2501-7672
Eun-So LeeDepartment of Dermatology, Hallym University School of Medicine, Hwaseong, Korea. esl@ajou.ac.kr.ORCID https://orcid.org/0000-0003-0232-7704
Yong Beom ChoeDepartment of Dermatology, Konkuk University School of Medicine, Seoul, Korea. cyb@kuh.ac.kr.ORCID https://orcid.org/0000-0002-3074-7602
Korean Society for Psoriasis

Funding

The Korean Society for Psoriasis
6 · The paper itself

Abstract

backgroundThe emergence of new treatments has significantly elevated treatment expectations for psoriasis. However, existing Korean severity definitions and treatment targets of psoriasis remain primarily centered on traditional Psoriasis Area and Severity Index (PASI) and Body Surface Area (BSA) thresholds, often underestimating the disease burden in high-impact special areas.

objectiveTo develop a revised Korean expert consensus on psoriasis severity and treatment targets that incorporate the clinical significance of special areas and reflect the evolving therapeutic landscape.

methodsA modified Delphi method was employed involving a panel of 65 dermatologists specializing in psoriasis from universities and training hospitals across South Korea. Two rounds of anonymous web-based surveys were conducted.

resultsA strong consensus was achieved on a new definition of moderate-to-severe psoriasis: (1) PASI ≥10, or (2) 5< PASI <10 with concomitant special area involvement (defined as ≥30% affected surface area of the specific site and a static Physician's Global Assessment (sPGA) score ≥3). For treatment targets, the panel established 'Absolute PASI ≤2' as the primary realistic goal. Site-specific goals were defined for special areas, to achieve an affected surface area <10% or an sPGA of 0/1. The Dermatology Life Quality Index was excluded from the mandatory severity definition or treatment target to preserve objectivity and feasibility in high-volume clinical settings.

conclusionThis consensus provides a practical and objective framework for managing psoriasis in Korea. These recommendations provide quantifiable criteria and stringent targets to optimize clinical decisions and patient outcomes in the era of advanced therapeutics.

Indexed as

Clinical decision-makingConsensusDelphi methodPsoriasisSeverity of illness indexTreatment outcome

Identifiers

PMID42547478
PMCPMC13443321

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.