Pharmacoeconomics of adalimumab for rheumatoid arthritis, psoriatic arthritis, ankylosing spondylitis and Crohn’s disease
Bibliographic record
Abstract
Adalimumab is a monoclonal antibody that inhibits TNF, an osteogenic cytokine involved in the pathogenesis of chronic, disabling inflammatory diseases. Adalimumab is indicated for rheumatoid arthritis, psoriatic arthritis, ankylosing spondylitis and Crohn's disease. It alleviates the symptoms of these diseases, prevents disease progression in some patients and, in the case of Crohn's disease, induces and maintains remission. Compared with traditional disease-modifying antirheumatic drugs that offer significantly less benefit, adalimumab is much more costly. However, most studies to date demonstrate the cost-effectiveness of adalimumab treatment. Cost-effectiveness data for newer indications of adalimumab, including ankylosing spondylitis and Crohn's disease, are needed. As longer term data for adalimumab become available, the cost-effectiveness data will have greater precision.
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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 | 0.007 | 0.031 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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".