Bibliographic record
Abstract
Canada’s Drug Agency (CDA-AMC) recommends that Opzelura should not be reimbursed by public drug plans for the topical treatment of mild to moderate atopic dermatitis (AD) in adult and pediatric patients 12 years of age and older whose disease is not adequately controlled with conventional topical prescription therapies (topical corticosteroids [TCS], topical calcineurin inhibitors [TCI]) or when those therapies are not advisable. Evidence from 2 clinical trials showed that Opzelura treatment improved the severity of AD compared with placebo in adult and adolescent patients with mild to moderate AD. However, it is unclear if these patients were representative of patients whose disease is not adequately controlled with TCS and/or TCI, or for whom such treatment(s) is not advisable, which is the patient population expected to receive Opzelura in clinical practice. No evidence that directly compared Opzelura to currently available treatments for mild to moderate AD was submitted. The submitted indirect evidence in patients with moderate AD was uncertain due to limitations of the analyses. The study was also not conducted in the patient population expected to receive Opzelura in clinical practice.
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 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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 0.002 |
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".