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Record W2801709914 · doi:10.1177/247553030915a00201

Clinical Experience with Alefacept in Canadian Patients with Psoriasis: The Amevive Wisdom Acquired from Real-world Evidence (AWARE) Study

2009· article· en· W2801709914 on OpenAlexaffabout
Ian Landells, Gordon E. Searles, Neil H. Shear, Robert Bissonnette

Bibliographic record

VenuePsoriasis Forum · 2009
Typearticle
Languageen
FieldImmunology and Microbiology
TopicPsoriasis: Treatment and Pathogenesis
Canadian institutionsInnovaderm (Canada)University of TorontoUniversity of AlbertaNexus Clinical Research (Canada)Memorial University of Newfoundland
Fundersnot available
KeywordsMedicinePsoriasisConcomitantPlaque psoriasisObservational studyDermatologySurgeryInternal medicine

Abstract

fetched live from OpenAlex

Background Alefacept was the first biologic therapy approved for the treatment of chronic plaque psoriasis in Canada. Objective The AWARE study was an observational phase IV study whose main goal was to describe the outcomes of alefacept treatment in a broad population of Canadian psoriasis patients. Methods A total of 426 patients with chronic plaque psoriasis were enrolled from 37 clinics across Canada. Patients were treated with up to two courses of alefacept and followed for up to 60 weeks. Results The majority of patients had a moderate to marked response to alefacept treatment. Treatment with concomitant systemic therapy was discontinued or reduced in up to a third of subjects. Forty percent completed the entire follow-up period without receiving a second course of alefacept. Conclusion In routine clinical settings in Canada, alefacept is an effective and safe option for the treatment of a wide range of patients with psoriasis.

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)0.009
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.262
Threshold uncertainty score0.527

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0020.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
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 head0.027
GPT teacher head0.294
Teacher spread0.268 · 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 designObservational
Domainnot available
GenreEmpirical

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

Citations0
Published2009
Admission routes2
Has abstractyes

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