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Record W2049915900 · doi:10.1159/000155642

A Study of the Safety and Efficacy of Calcipotriol and Betamethasone Dipropionate Scalp Formulation in the Long-Term Management of Scalp Psoriasis

2008· article· en· W2049915900 on OpenAlexaff
Thomas A. Luger, F. Cambazard, Frederik Grønhøj Larsen, Marc Bourcier, Girish Gupta, F. Clonier, Paul Kidson, Neil H. Shear

Bibliographic record

VenueDermatology · 2008
Typearticle
Languageen
FieldImmunology and Microbiology
TopicPsoriasis: Treatment and Pathogenesis
Canadian institutionsUniversity of TorontoSunnybrook Health Science CentreThornhill Medical (Canada)Health Sciences CentreMoncton Hospital
FundersLEO Pharma
KeywordsCalcipotriolScalpMedicineBetamethasone dipropionatePsoriasisDermatologyBetamethasoneAdverse effectCorticosteroidSurgeryInternal medicine

Abstract

fetched live from OpenAlex

BACKGROUND: Effective and safe products are needed for long-term management of scalp psoriasis. This study investigated the long-term safety and efficacy of a two-compound formulation (calcipotriol 50 microg/g plus betamethasone dipropionate 0.5 mg/g) for scalp psoriasis. METHODS: In this 52-week, international, double-blind study, 869 patients with moderate-to-severe scalp psoriasis were randomized to either a two-compound scalp formulation (n = 429) or calcipotriol (n = 440). RESULTS: Adverse drug reactions were less frequent in the two-compound group compared with the calcipotriol group (17.2 vs. 29.5%; p < 0.001). Incidences of adverse events possibly associated with long-term corticosteroid use were low in both the two-compound (2.6%) and the calcipotriol (3.0%) groups. Disease was satisfactorily controlled in 92.3% of visits in the two-compound group versus 80.0% in the calcipotriol group (p < 0.001). CONCLUSION: The two-compound scalp formulation demonstrated a high level of safety and efficacy in long-term management of scalp 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)0.002
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.023
GPT teacher head0.261
Teacher spread0.238 · 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 designNon-randomized trial
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

Citations93
Published2008
Admission routes1
Has abstractyes

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