Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Rituximab (MabThera/Rituxan) is a therapeutic monoclonal antibody against CD20, an antigen expressed by B cells but not B-cell progenitor or plasma cells. It is currently approved for the treatment of relapsed or refractory B-cell non-Hodgkin's lymphoma (NHL) and is well tolerated and efficacious. A small open-label study (conducted by Edwards and Cambridge) indicated that selective depletion of B cells using rituximab led to sustained benefits for patients with active rheumatoid arthritis. A 24-week, double-blind, randomized controlled trial was carried out to confirm these initial observations. In total, 161 patients with active rheumatoid arthritis were randomized to one of four treatment groups: rituximab monotherapy; rituximab plus methotrexate (R+MTX); rituximab plus cyclophosphamide (R+CTX); or methotrexate alone (MTX). Rituximab was administered as two 1000 mg infusions on days 1 and 15. An analysis at 24 weeks showed that the proportion of patients achieving an ACR20 response was significantly greater (P < or = 0.025 for all three comparisons) in all the rituximab groups compared with the MTX control group (rituximab alone, 65%; R+CTX, 76%; R+MTX, 73%; MTX alone, 38%). Both ACR50 (43 vs 13%; P = 0.005) and ACR70 (23 vs 5%; P = 0.048) responses were also significantly higher for the R+MTX group compared with the MTX group. The rituximab groups showed no significant safety differences compared with the MTX arm. The majority of adverse events were of mild to moderate intensity. Rituximab is a novel targeted therapy for the treatment of rheumatoid arthritis and it appears to be highly effective, safe and well tolerated.
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.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.012 |
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 it