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Record W2014539367 · doi:10.1159/000316179

Treatment and Management of Psoriasis with Nail Involvement: A Focus on Biologic Therapy

2010· article· en· W2014539367 on OpenAlexaff
Richard G. Langley, E. Daudén

Bibliographic record

VenueDermatology · 2010
Typearticle
Languageen
FieldImmunology and Microbiology
TopicPsoriasis: Treatment and Pathogenesis
Canadian institutionsQueen Elizabeth II Health Sciences CentreDalhousie University
Fundersnot available
KeywordsPsoriasisMedicinePsoriatic arthritisNail (fastener)DermatologyNail diseaseDiseaseQuality of life (healthcare)AnxietyInternal medicinePsychiatry

Abstract

fetched live from OpenAlex

Nail involvement in psoriasis is typically overlooked, although it can affect up to 50% of patients with psoriasis and cause functional impact as well as psychological stress that can significantly affect quality of life. In addition, psoriatic patients with nail disease tend to have a more severe skin condition, a higher rate of unremitting and progressive arthritis and more associated anxiety and depression. Historically, the treatment of nail psoriasis has proven difficult, with most patients feeling that the treatment for their nail disease was unsatisfactory. The current management of nail psoriasis includes topical, intralesional and systemic therapies, although little clinical evidence is available on the effectiveness of conventional treatments and, consequently, no specific treatment approach has been fully supported. Biologic agents are beginning to emerge as a viable option to treat patients with both cutaneous and nail clinical manifestations of psoriasis and psoriatic arthritis. The extra disease burden that nail symptoms place on the patient can be considered indicative of a more severe form of the disease and should be taken into consideration when assessing treatment options.

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)0.002
metaresearch head score (Gemma)0.001
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 score0.003
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0020.001

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 head0.019
GPT teacher head0.234
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

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

Citations53
Published2010
Admission routes1
Has abstractyes

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