Efficacy of synthetic and biological DMARDs: a systematic literature review informing the 2022 update of the EULAR recommendations for the management of rheumatoid arthritis
Bibliographic record
Abstract
OBJECTIVES: To update the evidence on efficacy of DMARDs (disease-modifying antirheumatic drugs) and inform the taskforce of the 2022 update of the European Alliance of Associations for Rheumatology (EULAR) recommendations for management of rheumatoid arthritis (RA). METHODS: This systematic literature review (SLR) investigated the efficacy of conventional synthetic (cs), biological (b), biosimilar and targeted synthetic (ts)DMARDs in patients with RA. Medline, EMBASE, Cochrane CENTRAL and Web of Science were used to identify all relevant articles published since the previous update in 2019 to 14 January 2022. RESULTS: Of 8969 search results, 169 articles were selected for detailed review and 47 were finally included. Trials investigated the efficacy of csDMARDs, bDMARDs and tsDMARDs, DMARD switching, tapering and trials investigating different treatment strategies. The compounds investigated were csDMARDs (methotrexate (MTX), leflunomide, sulfasalazine, hydroxychloroquine), bDMARDs (abatacept, adalimumab, certolizumab-pegol, denosumab, etanercept, infliximab, levilimab, olokizumab, opineracept, rituximab, sarilumab, tocilizumab) and tsDMARDs (baricitinib, filgotinib, tofacitinib, upadacitinib). The efficacy of csDMARDs+ short-term glucocorticoids in early RA was confirmed and similar to bDMARD+MTX combination therapy. Interleukin-6 pathway inhibition was effective in trials on olokizumab and levilimab. Janus kinase inhibitor (JAKi) was efficacious in different patient populations. After insufficient response to JAKi, patients could respond to TNFi treatment. Tapering of DMARDs was feasible for a proportion of patients, who were able to taper therapy while remaining in low disease activity or remission. CONCLUSION: The results of this SLR, together with one SLR on safety of DMARD and one on glucocorticoids, informed the taskforce of the 2022 update of the EULAR recommendations for pharmacological management of RA.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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".