Clinical Remission in Patients with Active Psoriatic Arthritis Treated with Adalimumab and Correlations in Joint and Skin Manifestations
Bibliographic record
Abstract
OBJECTIVE: Adalimumab (ADA) was evaluated for its efficacy in patients with moderate to severely active psoriatic arthritis (PsA) and for the presence of correlations in disease change variables. METHODS: Patients with inadequate response to standard PsA therapy were given 40 mg of ADA every other week for up to 12 weeks or 20 weeks. Outcome variables encompassed tender joint count (TJC), swollen joint count (SJC), physician's global assessment (PGA) of psoriasis, Health Assessment Questionnaire (HAQ), patient's global assessment (PtGA) of disease activity and pain, C-reactive protein, as well as composite measures of disease activity. Patients with inactive skin disease symptoms at baseline were excluded from the remission analyses. RESULTS: Of 268 patients with active baseline joint and skin disease and data available at Week 12 following open-label ADA therapy, 73 achieved joint remission (27.2%, TJC ≤ 1 + SJC ≤ 1) and 144 achieved skin remission criteria (53.7%, PGA = clear/almost clear). Simultaneous joint and skin remission criteria were achieved in 16.0% and 24.8% of patients at weeks 12 and 20, respectively. In patients who did not achieve skin and/or joint remission, 12-week ADA treatment improved mean clinical and functional scores. Joint remission was more frequently associated with achieving clinically relevant outcomes including HAQ, PtGA disease activity, and PtGA pain compared to skin remission. No correlation between improvement in skin and joint disease was observed. CONCLUSION: ADA was effective in achieving strict criteria for remission in joint or skin disease in many patients with active PsA within 12 weeks and sustained through 20 weeks. (NCT00235885).
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".