Developing an effective treatment algorithm for rheumatoid arthritis
Bibliographic record
Abstract
RA is defined by the interrelated triad of disease activity, joint damage and disability. Although disease activity and its associated disability are reversible, joint damage and its associated disability are not. Thus, an important goal of RA therapy is to maximally reduce disease activity and thereby mitigate the accumulation of irreversible joint damage. Treatment for patients with RA should be initiated early and aggressively, with frequent assessments and a goal of achieving remission as quickly as possible after treatment initiation. We propose a treatment algorithm that recommends early and aggressive therapy with high-dose MTX therapy (15-25 mg/week), which may include moderate doses of glucocorticoids. The goal is to achieve low disease activity (determined by a composite measure that includes joint counts) within 3-6 months. If low disease activity is not achieved by 6 months, another conventional DMARD or a biologic agent should be added to the treatment regimen or patients should be switched to another DMARD plus a glucocorticoid. Once low disease activity is achieved, the treatment goal for the ensuing 3-6 months becomes disease remission.
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 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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| 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 | 0.000 |
| 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".