Effect of Golimumab on Patient-reported Outcomes in Rheumatoid Arthritis: Results from the GO-FORWARD Study
Bibliographic record
Abstract
OBJECTIVE: To evaluate the effect of golimumab on physical function, general health, and fatigue in patients with active rheumatoid arthritis (RA) despite methotrexate (MTX) therapy. METHODS: In the multicenter, randomized, placebo-controlled GO-FORWARD study, 444 adults with active RA despite MTX received subcutaneous placebo + MTX (crossover to golimumab 50 mg at Week 24), golimumab 100 mg + placebo, golimumab 50 mg + MTX, or golimumab 100 mg + MTX every 4 weeks. Physical function and general health were assessed using the Health Assessment Questionnaire-Disability Index (HAQ-DI) and Physical and Mental Component Summary (PCS, MCS) scores of the Medical Outcomes Study Short Form-36 questionnaire (SF-36), respectively, through Week 52. Fatigue was measured through Week 24 using the Functional Assessment of Chronic Illness Therapy-Fatigue (FACIT-Fatigue) questionnaire. RESULTS: Mean improvements from baseline in HAQ-DI, SF-36 PCS, and FACIT-Fatigue scores (Weeks 14 and 24) were significantly greater for golimumab 50 mg + MTX and 100 mg + MTX versus placebo + MTX. Significantly greater proportions of patients treated with golimumab + MTX achieved clinically meaningful improvements from baseline to Weeks 14 and 24 in HAQ-DI, PCS, and FACIT-Fatigue scores. Mean improvements in SF-36 PCS (Week 14), MCS (Week 24), and FACIT-Fatigue (Weeks 14 and 24) scores were significantly greater for golimumab 100 mg + placebo versus placebo + MTX. Mean improvements from baseline in HAQ-DI, SF-36 PCS, and MCS scores through Week 24 were sustained through Week 52. CONCLUSION: Patients with active RA despite MTX had significant improvement in physical function, general health, and fatigue following golimumab + MTX therapy; improvements in physical function and general health were maintained through Week 52. (Clinical Trials Registration NCT00264550).
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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 | 0.006 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.003 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".