Cervical Spine Involvement among Patients with Rheumatoid Arthritis Treated Actively with Treat-to-target Strategy: 10-year Results of the NEO-RACo Study
Bibliographic record
Abstract
OBJECTIVE: To evaluate the development of radiological changes of the cervical spine in patients with rheumatoid arthritis (RA) in the NEO-RACo trial treated with an intensive, remission-targeted combination of conventional synthetic disease-modifying antirheumatic drugs (csDMARD) and additional infliximab (IFX) or placebo (PLA) for the first 6 months. METHODS: Ninety-nine patients with early, DMARD-naive RA were treated with a triple combination of csDMARD and prednisolone, and randomized to double-blindly receive either IFX (FIN-RACo+IFX) or PLA (FIN-RACo+PLA) infusions during the first 6 months. After 2 years the treatment strategies became unrestricted, but the treatment goal was strict NEO-RACo remission. At the 10-year visit, radiographs of the cervical spine were taken of 85 patients (38 in the FIN-RACo+IFX group and 47 in the FIN-RACo+PLA group). The study was registered at ClinicalTrials.gov (NCT00908089). RESULTS: There were 4/85 patients (4.7%) with cervical spine involvement (CSI) by 10 years. Atlantoaxial subluxation was found in 2/85 patients (2.4%), both in the FIN-RACo+IFX group, and none in the FIN-RACo+PLA group. Atlantoaxial impaction was found in 1/85 patients (1.2%) in the FIN-RACo+IFX group. Subaxial subluxation was found in 1/85 patients (1.2%). CONCLUSION: Early and intensive remission-targeted treatment has reduced the incidence of CSI and our results show that intensive treatment also prevents its development in the long run.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".