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Record W2809920244 · doi:10.1177/1203475418786712

Biologic Therapy Utilization in Patients With Moderate to Severe Psoriasis and Psoriatic Arthritis: An Observational Summary of Biologic Therapy Use in a Clinical Setting

2018· article· en· W2809920244 on OpenAlexaffabout
Wayne Gulliver, Shane Randell, Susanne Gulliver, Sean Nagle, Olivier Chambenoit

Bibliographic record

VenueJournal of Cutaneous Medicine and Surgery · 2018
Typearticle
Languageen
FieldImmunology and Microbiology
TopicPsoriasis: Treatment and Pathogenesis
Canadian institutionsNovartis (Canada)Memorial University of Newfoundland
Fundersnot available
KeywordsMedicineEtanerceptPsoriasisUstekinumabAdalimumabPsoriatic arthritisInfliximabPopulationObservational studyDermatologyMethotrexateAcitretinInternal medicineDiseaseRheumatoid arthritis

Abstract

fetched live from OpenAlex

Plaque psoriasis affects approximately 2% to 3% of the global population, with psoriatic arthritis observed in approximately 20% to 30% of these individuals. Upon advances in research pathophysiology and treatment over the past decade, biologic therapies have been used more to treat moderate to severe psoriasis. In Canada, reimbursement bodies have defined prior authorization criteria to determine patient eligibility for funding of biologic treatments in moderate to severe plaque psoriasis. Generally, patients will have been treated with conventional therapies such as topical steroids, phototherapy, or systemic treatments such as methotrexate and cyclosporine before starting a biologic therapy. In difficult cases or severe flares in otherwise controlled disease, practitioners may augment the regimen with one or more conventional treatments. The objective of this observational report was to identify treatment pathways for psoriasis and psoriatic arthritis patients in Canada by examining initial biologic treatment and subsequent treatment optimization patterns for informed reimbursement discussions and decisions. A retrospective chart review was conducted at Newlab Clinical Research using medical records of patients who received at least 1 of 4 biologic agents approved at that time of the survey in Canada for the treatment of plaque psoriasis (adalimumab, etanercept, infliximab, ustekinumab). The study population consisted of patients who had moderate to severe plaque psoriasis, diagnosed by a dermatologist, for at least 6 months before the study index date and who attended Newlab Clinical Research between 2008 and 2013. All current and previous agents prescribed for the treatment of psoriasis were captured. A total of 248 patients with psoriasis treated with biologics were identified, of whom 27 (10.9%) were also diagnosed with psoriatic arthritis. Prior to initiating treatment with a biologic, most patients (72.1%) were treated with (or contraindicated to) methotrexate/cyclosporine. Treatment was supplemented with topical agents (70.6%) and/or followed by a course of ultraviolet light phototherapy (51.6%). Only 2.4% of patients were treated with a biologic first. Of 248 patients treated with biologics, almost half (47.6%) needed add-on therapy, whereas 16.5% of patients had an increase in dose or dosing interval. Furthermore, 14.1% of patients added a topical agent, 10.5% a topical steroid, or 6.5% a course of phototherapy while continuing biologic therapies. Finally, 30.4% of patients switched to another biologic treatment. Adalimumab was the most common agent used as a second-line agent (37.2%), and patients who started on adalimumab mainly switched to ustekinumab as a second-line agent (73.9%). Infliximab was the agent least often used as second-line therapy.

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)0.001
metaresearch head score (Gemma)0.005
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 score0.585
Threshold uncertainty score0.834

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.005
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.117
GPT teacher head0.313
Teacher spread0.196 · 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

Citations12
Published2018
Admission routes2
Has abstractyes

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