Serum Vascular Endothelial Growth Factor Levels Lack Predictive Value in Patients with Active Ankylosing Spondylitis Treated with Golimumab
Bibliographic record
Abstract
OBJECTIVE: To assess vascular endothelial growth factor (VEGF) correlations with new bone formation and bone marrow edema in patients with ankylosing spondylitis (AS) treated with golimumab (GOL). METHODS: Following placebo control (through weeks 16 and 24), GO-RAISE (A Multicenter Randomized, Double-blind, Placebo-controlled Trial of Golimumab, a Fully Human Anti-TNF-α Monoclonal Antibody, Administered Subcutaneously, in Subjects with Active Ankylosing Spondylitis; ClinicalTrials.gov: NCT00265083) all patients received GOL; sera/images were available at weeks 0, 104, and 208. Lateral spinal radiographs and magnetic resonance imaging (MRI) were scored using the modified Stokes Ankylosing Spondylitis Spine Score (mSASSS) and the Ankylosing Spondylitis Spinal MRI activity score, respectively. RESULTS: VEGF levels and the mSASSS did not significantly correlate. Logistic regression analyses showed no association between VEGF levels and an increased risk of syndesmophyte formation at weeks 104 and 208. Pretreatment/Week 14 VEGF did not predict MRI scores/changes at Week 104. CONCLUSION: Serum VEGF did not predict radiographic progression/spinal inflammation in patients receiving antitumor necrosis factor.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| 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) | 0.001 | 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".