Long-term Safety and Efficacy of Fixed-Combination Halobetasol Propionate and Tazarotene Lotion in Patients With Clinically Meaningful Improvement in Plaque Psoriasis
Bibliographic record
Abstract
OBJECTIVE • This post hoc analysis of two randomized phase 3 trials (NCT02462070 and NCT02462122) 1 and a 52-week open-label study (NCT02462083) 2 evaluated the efficacy and safety of halobetasol propionate (0.01%) and tazarotene (0.045%) lotion (HP/TAZ) in participants achieving ≥75% improvement in the product of investigator's global assessment and affected body surface area (IGAxBSA-75) at or before week 12 CONCLUSIONS • HP/TAZ was associated with long-term skin clearance in participants who achieved clinically meaningful improvement in psoriasis lesions, as measured by IGAxBSA-75 -These findings suggest that HP/TAZ promotes remission of psoriasis after treatment discontinuation • Clinically meaningful improvement in psoriasis lesions was also associated with decreased signs and symptoms (itch, dryness, and burning/ stinging) and posttreatment maintenance of those improvements SYNOPSIS • Fixed-combination halobetasol propionate (0.01%) and tazarotene (0.045%) lotion (HP/TAZ) is approved to treat plaque psoriasis in adults 3 • The product of investigator's global assessment and affected body surface area (IGAxBSA) is a measure of psoriasis severity 4 -≥75% reduction from baseline (IGAxBSA-75) is considered as clinically meaningful improvement in skin clearance 5
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
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".