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Record W6963936268 · doi:10.25384/sage.c.6321306

Proactive Topical Maintenance Treatment of Psoriasis: Subanalysis of Canadian Patients in the Phase III PSO-LONG Trial

2022· other· en· W6963936268 on OpenAlexaboutno aff

Bibliographic record

VenueSage Journals Data · 2022
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsPsoriasisRegimenDemographicsDiseaseClinical trialCalcipotriolRandomized controlled trial

Abstract

fetched live from OpenAlex

Plaque psoriasis is a chronic disease that requires long-term management.<sup> </sup> Although topical therapies are a first-line treatment, maintaining long-term disease control is a challenge.<sup> , </sup> Topical psoriasis treatment has traditionally relied on a reactive approach to disease flares rather than a proactive long-term approach involving regular application of therapy to previously affected skin areas after they have healed.<sup> , </sup> The PSO-LONG phase III trial demonstrated the long-term efficacy and safety of twice-weekly calcipotriol 0.005%/betamethasone dipropionate 0.064% (Cal/BD) foam as maintenance treatment for psoriasis.<sup> </sup> This proactive regimen significantly delayed time to first relapse, reduced relapses, and increased time in remission compared to reactive management, with no new safety signals or skin atrophy. Regional differences in patient demographics and disease characteristics, as well as standards of care, may influence the effect size of treatment interventions.<sup> </sup> To assess whether the results of the multinational PSO-LONG trial are generalizable to the Canadian psoriasis population, we analyzed the long-term safety and efficacy of proactive Cal/BD foam in the subset of Canadian subjects in the PSO-LONG trial.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: none
Teacher disagreement score0.558
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0020.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0230.000

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 head0.074
GPT teacher head0.343
Teacher spread0.269 · 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 teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreDataset

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
Published2022
Admission routes1
Has abstractyes

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