Inhibition of spleen tyrosine kinase in the treatment of rheumatoid arthritis
Bibliographic record
Abstract
The pathogenesis of RA is a complex and ever-changing landscape but amid the chaos of the disease process we have found effective treatment regimes. However, our current therapeutics, although targeting various components of both the innate and adaptive immune response, do not result in disease remission. Protein kinase inhibitors are attractive targets due to their ability to influence downstream signalling and their oral bioavailability. Fostamatinib (R788) inhibits spleen tyrosine kinase (Syk) and has been in clinical trials involving both MTX inadequate responders (MTX-IRs) and biologic inadequate responders. Studies on the MTX-IR population revealed ACR20 responses of 67-72% at higher doses (150 mg bd and 100 mg bd), ACR50 responses of 43-57% and ACR70 responses of 28-40%. The trial in the biologic non-responder population showed no efficacy, however, post hoc analyses of the data suggested that a further trial in this population is warranted. The most common adverse events included gastrointestinal effects, hypertension, neutropenia and transaminitis. Many adverse effects were dose responsive and hypertension was amenable to treatment. Upper respiratory tract infections were more likely at higher doses, but no serious infections with tuberculosis, fungi or opportunistic infections were reported. The oral availability of these agents makes them attractive treatment options for our patients, although the literature from the oncology field suggests that patients will only choose the oral route if efficacy is equivalent. Long-term follow-up studies are ongoing and will be critical for rare side effects. The role of these agents in our current arsenal is unclear and economic analyses are awaited.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".