MétaCan
Menu
← Back to cohort
Record W2047351371 · doi:10.2310/7750.2009.08088

Cost Comparison of Psoriasis Treatments

2009· article· en· W2047351371 on OpenAlexaffabout
Dalia M. Mikhael, Kelly Babcock, J. P. DesGroseilliers

Bibliographic record

VenueJournal of Cutaneous Medicine and Surgery · 2009
Typearticle
Languageen
FieldImmunology and Microbiology
TopicPsoriasis: Treatment and Pathogenesis
Canadian institutionsÉlisabeth Bruyère HospitalUniversity of Ottawa
FundersEMD SeronoLEO PharmaAustralian GovernmentAmgen
KeywordsMedicinePsoriasisInfliximabPlaque psoriasisBody surface areaDermatologyPsoriasis Area and Severity IndexSurgeryInternal medicineDisease

Abstract

fetched live from OpenAlex

BACKGROUND: Knowledge of the cost of various psoriasis therapeutic options is essential to the prescribing clinician. OBJECTIVE: To compare the cost of various psoriasis treatments over a 10-year period in the province of Ontario, Canada. METHODS: We used a hypothetical patient with plaque-type psoriasis of moderate severity with a Psoriasis Area and Severity Index of 10, body surface area of 20%, and no joint involvement. The costs to treat this hypothetical patient with different therapeutic regimens were compared in this study. RESULTS: In a 60 kg patient, alefacept was the most costly form of therapy, based on two 12-week treatments per year, followed by infliximab 5 mg/kg. In a 90 kg patient, infliximab 5 mg/kg was the most costly, followed by alefacept. The least costly treatment was ultraviolet B phototherapy. CONCLUSION: With the knowledge of these data, informed prescribing by the dermatologist may reduce the financial burden to the patient, the provincial health care system, and insurance companies.

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)0.012
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.247
Threshold uncertainty score0.491

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.012
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0060.000

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 head0.054
GPT teacher head0.308
Teacher spread0.254 · 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

Citations4
Published2009
Admission routes2
Has abstractyes

Explore more

Same venueJournal of Cutaneous Medicine and Surgery→Same topicPsoriasis: Treatment and Pathogenesis→French-language works237,207→