Rationale, objectives and design of PURE, a prospective registry of patients with moderate to severe chronic plaque psoriasis in Canada and Latin America
Bibliographic record
Abstract
BACKGROUND: Treatment options for the management of moderate to severe plaque psoriasis include phototherapy, oral systemic agents, and biologic therapy. Secukinumab, a fully human monoclonal antibody that selectively targets IL-17A, is the first IL-17 antagonist approved for this patient population. Long-term observational data are required for establishing the true population-based benefit-risk ratio of approved treatments. PURE is a multinational registry that will assess the real-world safety and effectiveness of secukinumab and other approved therapies in the management of patients with moderate to severe psoriasis. METHODS: This is a multinational (Canadian and Latin American), prospective, observational study of adult patients with moderate to severe psoriasis that initiate treatment with secukinumab or other approved therapies as per local standard of care. A total of 2500 patients (1250 per cohort) will be recruited in the practices of hospital and community dermatologists. Decision regarding treatment must have been reached prior to and independent of patient enrollment in the study. The study includes a 5-year follow-up with recommended assessments at Baseline, 3 and 6 months post-Baseline, and every 6 months thereafter. The primary objective of the study is safety. Secondary outcome measures relate to effectiveness (Investigator's Global Assessment -IGA mod 2011-, Psoriasis Areas and Severity Index, Body Surface Area), patient reported outcomes (Dermatology Life Quality Index, Work Productivity and Activity Impairment Questionnaire, Hospital Anxiety and Depression Scale, Psoriasis Epidemiology Screening Tool, Psoriasis Symptom Diary, and Treatment Satisfaction Questionnaire), and healthcare resource utilization. DISCUSSION: This is the first observational study in Canada and Latin America assessing the real-world safety and effectiveness of secukinumab in the management of moderate to severe psoriasis. The extensive clinical, patient-reported and health economic outcomes collected will allow the comprehensive evaluation of this new treatment in comparison to other approved therapies. TRIAL REGISTRATION: ClinicalTrials.gov Identifier: NCT02786186 ; date of registration: May 30, 2016.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.017 | 0.018 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.004 | 0.008 |
| Science and technology studies | 0.006 | 0.003 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.004 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".