The effects of golimumab on radiographic progression in rheumatoid arthritis: Results of randomized controlled studies of golimumab before methotrexate therapy and golimumab after methotrexate therapy
Bibliographic record
Abstract
OBJECTIVE: To evaluate the effects of golimumab on radiographic progression in patients with rheumatoid arthritis (RA). METHODS: Methotrexate (MTX)-naive patients (in the Golimumab Before Employing Methotrexate as theFirst-Line Option in the Treatment of Rheumatoid Arthritis of Early Onset [GO-BEFORE] study; n = 637)and patients with active RA despite MTX therapy (in the Golimumab in Active Rheumatoid Arthritis Despite Methotrexate Therapy [GO-FORWARD] study; n =444) were randomly assigned to receive placebo plus MTX (group 1), golimumab 100 mg plus placebo (group 2), golimumab 50 mg plus MTX (group 3), or golimumab 100 mg plus MTX (group 4). Golimumab orplacebo was administered subcutaneously every 4 weeks. Radiographs of the hands and feet were taken at baseline, week 28, and week 52 in the GO-BEFORE study and at baseline, week 24 (week 16 for patients who entered early escape), and week 52 in the GO-FORWARD study. Radiographs were scored by 2 independent readers in each study using the van der Heijde modification of the Sharp score. RESULTS: In the GO-BEFORE study, the mean ± SD changes in the modified Sharp score from base line to week 52 (control period) were 1.4 ± 4.6 in group 1, 1.3 ± 6.2 in group 2 (P = 0.266), 0.7 ± 5.2 in group 3 (P = 0.015), and 0.1 ± 1.8 in group 4 (P = 0.025). In the GO-FORWARD study, changes from baseline to week 24 (control period) were 0.6 ± 2.4 in group 1, 0.3 ± 1.6 in group 2 (P = 0.361), 0.6 ± 2.7 in group 3 (P = 0.953), and 0.2 ± 1.3 in group 4 (P = 0.293). CONCLUSION: Golimumab in combination with MTX inhibited radiographic progression significantly better than did MTX alone in the GO-BEFORE study. Radiographic progression in the GO-FORWARD study was minimal in all treatment arms, precluding an adequate assessment of the effect of golimumab on radiographic progression in this study.
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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 | 0.008 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.004 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".