Long‐term outcomes of interruption and retreatment vs. continuous therapy with adalimumab for psoriasis: subanalysis of REVEAL and the open‐label extension study
Bibliographic record
Abstract
BACKGROUND: REVEAL was a 52-week study of adalimumab for moderate to severe psoriasis. At Week 33, adalimumab-treated patients with sustained responses (PASI ≥75 at Weeks 16 and 33) were re-randomized to receive adalimumab or placebo. Subsequently, they could receive adalimumab in an open-label extension (OLE) study. OBJECTIVE: To compare long-term efficacy and safety of adalimumab 40 mg every other week (eow), given as continuous treatment or with one period of interruption followed by retreatment. METHODS: Patients who were re-randomized to adalimumab or placebo at REVEAL Week 33 and received ≥ 1 dose of OLE adalimumab were analysed as the continuous and retreatment groups, respectively, for >2 years of OLE treatment with adalimumab 40 mg eow. LOCF was used for missing efficacy data. RESULTS: At OLE Weeks 0, 12 and 24, PASI 75 response rates were 84%, 84%, 86% with continuous treatment (N = 233) vs. 45%, 71%, 79% with retreatment (N = 227). Thereafter, efficacies were slightly greater for continuous treatment but similar between groups, with PASI 75 response rates at OLE Week 108 of 75% vs. 73% respectively. Retreatment was most effective for patients with ≥ PASI 50 responses when retreatment was initiated. Adverse event rates for retreatment were equal to or lower than those for continuous treatment. CONCLUSIONS: In psoriasis patients with sustained PASI 75 responses to adalimumab, long-term efficacy of retreatment after a ≤ 19-week interruption was similar to efficacy achieved with > 3 years continuous treatment. Adalimumab retreatment provided the best results when initiated before responses had declined below PASI 50.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".