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Record W4404385910 · doi:10.1016/j.jdin.2024.09.015

Optimizing the management of psoriasis in patients with skin of color: A Canadian Delphi consensus

2024· article· en· W4404385910 on OpenAlex
Geeta Yadav, Yvette Miller-Monthrope, Jaggi Rao, David N. Adam, Rachel N. Asiniwasis, Parbeer Grewal, Marissa Joseph, Richard G. Langley, Charles Lynde, Andrei I. Metelitsa, Loukia Mitsos, Boluwaji Ogunyemi, Kerri Purdy, Maxwell Sauder, Jensen Yeung

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueJAAD International · 2024
Typearticle
Languageen
FieldImmunology and Microbiology
TopicPsoriasis: Treatment and Pathogenesis
Canadian institutionsSunnybrook Health Science CentreMemorial University of NewfoundlandUniversity of CalgaryUniversity of SaskatchewanHospital for Sick ChildrenProbity Medical ResearchUniversity of British ColumbiaSaskatchewan Science CentreLynde Centre for DermatologyMedical Council of CanadaUniversity of AlbertaDalhousie UniversityUniversity of TorontoHealth Sciences CentrePROTO Manufacturing (Canada)University Health NetworkWomen's College Hospital
FundersLEO PharmaBausch HealthEli Lilly and CompanyGaldermaSanofi GenzymeIncyteDermiraSun PharmaRegeneron PharmaceuticalsCelgeneValeant Pharmaceuticals InternationalSanofiAmgenPfizerMeiji Seika Pharma
KeywordsPsoriasisDelphiDelphi methodDermatologyConsensus conferenceMedicineComputer scienceInternal medicineArtificial intelligence

Abstract

fetched live from OpenAlex

Background: There is limited evidence on treating psoriasis patients with skin of color (SOC), contributing to disparities in accessing appropriate care for these patients. Objectives: This study aimed to develop consensus statements defining SOC terminology and addressing needs to optimize the clinical management of psoriasis in patients with SOC. Methods: Using the modified Delphi methodology 16 Canadian dermatologists with expertise in psoriasis developed consensus statements. Four core faculty members drove the content of the study, and 12 additional panel members were consulted to vote and provide consensus on the content produced by the core faculty. At a final meeting, the full panel revised and voted on the final consensus statements. Results: The exercise resulted in 11 consensus statements on SOC terminology, as well as 5 primary and 4 secondary statements on clinical presentation and differential diagnosis, and treatment guidelines based on evidence and expert opinion. Four additional consensus statements on current assessment tools and access to care were developed based solely on expert opinion. Limitations: The available evidence was limited, low quality, and inappropriate for formal quality assessment. Conclusions: The consensus statements developed in this study may provide valuable guidance to the dermatology community treating psoriasis patients with SOC.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.476
Threshold uncertainty score0.609

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.010
GPT teacher head0.224
Teacher spread0.215 · 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