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Record W4406733220 · doi:10.1093/bjd/ljae491

Global Delphi consensus on treatment goals for generalized pustular psoriasis

2025· review· en· W4406733220 on OpenAlexaff
Juliet N. Barker, Siew Eng Choon, Peter Foley, Hideki Fujita, César González‐González, Melinda Gooderham, Slaheddine Marrakchi, L. Puig, Ricardo Romiti, Diamant Thaçi, Min Zheng, Bruce Strober, Gabriel Magariños, Adam Reich, Juliana Nakano, Xinghua Gao, Furen Zhang, Mahira El Sayed, Julia Welzel, Paolo Gisondi, Yuzlina Binti Che Yaacob, Francesca Prignano, Yayoi Tada, Seong Jin Jo, Peter van der Kerkhof, R. Rivera, Marcus Schmitt‐Egenolf, Tsen‐Fang Tsai, Emel Bülbül Başkan, David Burden, Arash Mostaghimi, Dale Reisner, Kilian Eyerich, Alexandros Stratigos, Lev Pavlovsky, Delfina Guadalupe Villanueva Quintero, Shinichi Imafuku, Jennifer Becker, Azura Mohd Affandi, J.M. Carrascosa, Marni Wiseman, M. Viguier, Tina Bhutani

Bibliographic record

VenueBritish Journal of Dermatology · 2025
Typereview
Languageen
FieldImmunology and Microbiology
TopicPsoriasis: Treatment and Pathogenesis
Canadian institutionsSKiN HealthQueen's University
FundersBoehringer Ingelheim EspañaBiogenAmgen
KeywordsMedicineDelphi methodDiseaseIntensive care medicineDelphiPsoriasisPhysical therapyDermatologyInternal medicine

Abstract

fetched live from OpenAlex

BACKGROUND: Generalized pustular psoriasis (GPP) is a chronic, systemic, neutrophilic inflammatory disease. A previous Delphi panel established areas of consensus on GPP, although patient perspectives were not included and aspects of treatment goals remained unclear. OBJECTIVES: To identify and achieve consensus on refined, specific treatment goals for GPP treatment via a Delphi panel with patient participation. METHODS: Statements were generated based on a systematic literature review and revised by a Steering Committee. Statements were categorized into overarching principles, and short- and long-term treatment goals. A global panel of 30 dermatologists and 3 patient representatives voted in agreement or disagreement with each statement. Consensus was defined as ≥ 80% approval by the panellists. RESULTS: Consensus was reached in the first round of voting and ≥ 90% agreement was reached for 23 of 26 statements. In summary, GPP requires a timely, tailored treatment plan, co-developed by patients and physicians, that involves a multidisciplinary approach and addresses the complexity, heterogeneity and chronicity of the disease. Short-term treatment goals should include pustule clearance within 7 days and prevention of pustule recurrence, reduction of cutaneous symptom burden (-4 or more points on the Itch and Skin Pain Numeric Rating Scale), improvement in systemic symptoms (e.g. resolution of fever within 3 days of treatment initiation and reduced fatigue), prevention of life-threatening complications and progressive improvement of inflammatory biomarkers. In patients with comorbid psoriatic diseases, treatment decisions should prioritize GPP. Long-term treatment goals should include minimizing disease activity through flare prevention and symptom control between flares, sustained disease control, management of comorbidities and improvement in quality of life (QoL). Small differences in perception between patients and physicians regarding the importance of certain treatment goals (e.g. avoiding hair and/or nail loss to improve QoL), reflect the complexity of assessing treatment goals and emphasize the need for a patient-centred approach. CONCLUSIONS: In the first global Delphi panel in GPP to include patient perspectives, consensus between dermatologists and patients was achieved on overarching principles of treatment, and short- and long-term treatment goals for GPP. These findings provide valuable insights for developing guidelines that consider the perspectives of patients and physicians in the treatment of GPP.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.374
metaresearch head score (Gemma)0.279
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.374
Threshold uncertainty score0.772

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.3740.279
Meta-epidemiology (narrow)0.0030.002
Meta-epidemiology (broad)0.0030.007
Bibliometrics0.0070.004
Science and technology studies0.0060.007
Scholarly communication0.0070.007
Open science0.0050.019
Research integrity0.0070.011
Insufficient payload (model declined to judge)0.0080.003

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.040
GPT teacher head0.323
Teacher spread0.283 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

Study designNot applicable
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations11
Published2025
Admission routes1
Has abstractyes

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