New Hope for Delaying Clinical Onset of Rheumatoid Arthritis: Early Intervention with Rituximab
Bibliographic record
Abstract
Rheumatoid arthritis (RA) is a highly prevalent autoimmune disease that affects 16 million people globally. It is caused by an inflammatory autoimmune response that results in swelling of the joints and chronic pain. While we know that RA operates via the immune system, the specific mechanisms of RA pathogenesis are not fully understood, making diagnosis and treatment options limited. Rituximab, a monoclonal CD20 antibody, is a current form of RA treatment that specifically targets autoreactive B-cells to help mitigate the symptoms of RA at the clinical stage. Gerlag et al. (2019) outline a preventative window of opportunity for preclinical RA intervention with rituximab and identified two predictive biomarkers through exploratory methods. Their findings demonstrate that early administration of rituximab during preclinical RA delays disease onset and impedes its progression. This timeframe for intervention offers a promising first step for future studies investigating RA mechanisms and early treatments.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.007 | 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".