Rheumatoid Arthritis: a debilitating battle with the human immune system
Bibliographic record
Abstract
Rheumatoid arthritis (RA) is an autoimmune disease in which the immune system mistakenly attacks different regions of the body, notably joints in the hands, knees, elbows, and feet. As a result, these regions become inflamed and lead to pain, swelling, and subsequent joint damage. This can affect daily activities, mental well-being, quality of life, and may decrease expected life span. As of today, there is no cure for RA and its etiology remains elusive. RA is classified using the 2010 American College of Rheumatology/European League Against Rheumatism (ACR/EULAR) Criteria and treated according to the Canadian Rheumatology Association (CRA) Guidelines, which mainly focus on pharmacological interventions. Three classes of pharmaceutical agents havebeen effective in treating RA symptoms - disease modifying antirheumatic drugs (DMARDs), including conventional synthetic and advanced therapeutics (eg biologics, JAK inhibitors), nonsteroidal anti-inflammatory drugs (NSAIDs), and corticosteroids. DMARDs, specifically methotrexate, hydroxychloroquine, and sulfasalazine, are usually used early to treat the underlying course of the disease. However, potential adverse drug reactions may cause some patients to discontinue or experience lack of benefit over time. Non-traditional therapy, such as diet modification, physical activity, and mindfulness-based stress reduction activities, may be adjunctive treatment for pain, fatigue, and overall mental health. Nevertheless, finding optimal treatments remains largely empirical and patient-specific. A better understanding of RA progression is needed to accurately treat the underlying disease, while improving symptoms and minimizing adverse effects. An integrated approach that incorporates both pharmacological and nonpharmacological therapies may provide more comprehensive management of RA.
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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) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.007 | 0.003 |
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".