Cost-Effectiveness of Early Treatment with Originator Biologics or Their Biosimilars After Methotrexate Failure in Patients with Established Rheumatoid Arthritis
Bibliographic record
Abstract
INTRODUCTION: Evidence supports the clinical benefits of early aggressive biologic treatment in patients with rheumatoid arthritis (RA) who have an inadequate response to conventional synthetic disease-modifying antirheumatic drugs (csDMARDs), but the cost-effectiveness of early intervention with originator biologics such as tumor necrosis factor inhibitors (TNFis) or their biosimilars has not been well studied. METHODS: We developed a Markov model to estimate lifetime costs and utilities for patients with established RA who do not respond to methotrexate (MTX) therapy. A cost-effectiveness analysis was conducted comparing a standard intervention pathway (addition of originator biologic TNFis to MTX monotherapy at 12 months) and two early intervention pathways (either addition of originator biologic TNFis or addition of biosimilar TNFis to MTX monotherapy at 6 months). RESULTS: Early intervention with an originator biologic TNFi at 6 months was associated with increases in total lifetime costs of £1692 and utilities of 0.10 quality-adjusted life-years (QALYs) per patient compared with standard intervention at 12 months, resulting in an incremental cost-effectiveness ratio (ICER) of £17,335/QALY. Early intervention with a biosimilar TNFi increased costs by £70 and utilities by 0.10 QALYs per patient and was associated with an ICER of £713/QALY. CONCLUSION: Switching from MTX monotherapy to combination therapy with either an originator biologic or biosimilar TNFis at 6 months after csDMARD failure in patients with RA was cost-effective at a threshold of £30,000/QALY. FUNDING: Pfizer Inc.
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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 | 0.003 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.003 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".