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Record W4297878627 · doi:10.1007/s13555-022-00811-0

Unmet Need in People with Psoriasis and Skin of Color in Canada and the United States

2022· review· en· W4297878627 on OpenAlexafffundabout
Geeta Yadav, Jensen Yeung, Yvette Miller-Monthrope, Omair Lakhani, Christopher Drudge, Samantha Craigie, Ari L. Mendell, Laura Park‐Wyllie

Bibliographic record

VenueDermatology and Therapy · 2022
Typereview
Languageen
FieldImmunology and Microbiology
TopicPsoriasis: Treatment and Pathogenesis
Canadian institutionsBell (Canada)EVERSANA (Canada)Probity Medical ResearchHealth Sciences CentreSunnybrook Health Science CentreCanadian Institute for Energy TrainingWomen's College HospitalUniversity of Toronto
FundersJanssen Canada
KeywordsPsoriasisMedicineEthnic groupIncidence (geometry)Family medicineDermatology

Abstract

fetched live from OpenAlex

The experience of dermatological conditions such as psoriasis is different for people with skin of color (SoC) than for white individuals. The objective of this literature review was to understand challenges and unmet needs associated with access to care, diagnosis, and treatment of psoriasis among people with SoC in Canada and the United States. The review focused on studies published in the last 5 years. After screening 919 unique records, 26 studies were included. Importantly, lack of culturally competent care was identified as a key unmet need for psoriasis among people with SoC. In addition, cost of care and cultural views of psoriasis may influence decisions to seek care among people with SoC. Baseline patient characteristics in psoriasis studies and the prevalence/incidence of psoriasis vary across racial/ethnic groups, which may reflect differences in the rate and/or timing of diagnosis. The presentation of psoriasis differs across racial/ethnic groups, which may contribute to challenges in proper and timely diagnosis. Compared with white patients with psoriasis, individuals with SoC may be less familiar with and have different rates of treatment with biologic therapies for psoriasis, are more likely to be hospitalized for psoriasis, and their access to physicians may differ. Further, people with SoC are underrepresented in clinical trials of psoriasis therapies. Overall, the results of this literature review suggest that people with psoriasis and SoC face unique challenges in their disease experience. It is essential that clinicians and other stakeholders recognize and address these disparities to ensure equitable care. Skin conditions such as psoriasis are experienced differently by people with skin of color (SoC) compared with white individuals. Although it is known that psoriasis can vary in how it appears between these groups, other factors that affect care for patients with SoC are not well understood. For this review, we focused on challenges associated with accessing healthcare, receiving a diagnosis, and receiving treatment for psoriasis among people with SoC. A search of the academic literature identified several such challenges for people with SoC in Canada and the United States. A major challenge for people with psoriasis and SoC is having access to care that is compatible with their cultural values and practices. The cost of healthcare and cultural views of psoriasis may influence whether individuals with SoC decide to seek care. People with SoC are more likely to be hospitalized for psoriasis, and their access to physicians may differ compared with white individuals. In addition, differences in how psoriasis appears across racial/ethnic groups may hinder diagnosis. Psoriasis treatments that patients with SoC receive may differ from those that white individuals receive, and people with SoC may be less likely to be properly represented in clinical trials evaluating psoriasis therapies. Taken together, the findings of our review indicate that people with psoriasis and SoC face unique challenges in how they receive medical care for their condition. It is essential that clinicians and other stakeholders in the healthcare system recognize these challenges and work to address them.

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)0.003
metaresearch head score (Gemma)0.014
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.098
Threshold uncertainty score0.198

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.014
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.012
Science and technology studies0.0020.001
Scholarly communication0.0030.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.016
GPT teacher head0.235
Teacher spread0.220 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations25
Published2022
Admission routes3
Has abstractyes

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