Cost-effectiveness of early treatment of ACPA-positive rheumatoid arthritis patients with abatacept.
Bibliographic record
Abstract
OBJECTIVES: Studies have reported that the presence of elevated anti-citrullinated protein antibodies (ACPA)/RF levels, together with joint erosions, is associated with higher disease burden in terms of disability and mortality in rheumatoid arthritis (RA). Abatacept has been shown to be effective in this patient population with favourable comparative data against adalimumab. However, few studies have investigated the cost-effectiveness of abatacept in this population to similar treatments such as TNFs. The objective of the study was to compare the cost-effectiveness of abatacept to adalimumab as a first bDMARD in ACPA-positive RA patients who failed treatment with methotrexate (MTX) in Germany. METHODS: A decision tree model was used to estimate the cost-effectiveness, from a payer's perspective, of different treatment sequences in RA over a two year time frame. The effectiveness criteria were defined as achieving the treatment target measured by the Disease Activity Score 28 (DAS28(CRP)<2.6; "remission"). A treatment switch to a different biologic as 2nd line and 3rd line bDMARD was allowed - in case of not achieving remission with therapy - every 6 months over a two year time period. Effectiveness data was based on randomised controlled trials (RCT) identified by an updated previous systematic literature search by the Institute for Quality and Efficiency in Health Care (IQWiG). Costs of medication and other direct medical costs were considered. Cost-effectiveness of RA treatment was investigated in ACPA-positive patients and presented as overall costs per day in remission. RESULTS: For ACPA-positive patients, treatment strategies including early treatment with abatacept had lower total costs per clinical outcome compared to later use. Treatment sequences starting with abatacept resulted in lower costs per day in remission (mean 330 €/day, range 328-333 €/day) compared to sequences starting with adalimumab (mean 384 €/day, range 378-390 €/day). Choice of the second or third biologic in the treatment sequences appears to have little impact on the costs per outcome. CONCLUSIONS: The results of this analysis suggest that in ACPA-positive RA patients treatment with abatacept appears to have lower costs per response (remission) compared to treatment with adalimumab as a first bDMARD.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.001 |
| 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) | 0.004 | 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".