Long-term effectiveness and safety of infliximab and golimumab in ankylosing spondylitis patients from a Canadian prospective observational registry
Bibliographic record
Abstract
BACKGROUND: The objectives of this study were to describe the profile of ankylosing spondylitis (AS) patients treated with either infliximab (IFX) or subcutaneous golimumab (GLM) treatment in Canadian routine care setting along with assessing long-term effectiveness and safety. METHODS: AS patients who were eligible for treatment with IFX or subcutaneous GLM as per their respective Canadian product monographs were enrolled into the BioTRAC registry from 2005 to 2017. The study visits occurred at baseline and every 6 months thereafter. Effectiveness was assessed by changes in clinical outcomes and acute phase reactants. Safety was evaluated by assessing the incidence of adverse events (AEs) and drug survival rates. RESULTS: A total of 389 IFX- and 421 GLM-treated patients were enrolled. A significant decrease in disease duration at baseline was observed in the IFX cohort, from a median of 8.0 in 2005-2008 to 1.0 years in 2009-2015 (p < 0.001). A reduction in baseline BASFI score (p = 0.011) and proportion of patients in ASDAS very high disease activity (p = 0.004) was also observed over time. Meanwhile, in the GLM cohort, most disease parameters remained similar from 2010 to 2017. Treatment with both agents significantly improved all disease parameters over time with similar efficacy between the two agents. The incidence of AEs and SAEs were 136 and 131 events/100 PYs and 10.5 and 8.45 events/100 PYs for IFX- and GLM-treated patients, respectively. CONCLUSION: Both IFX and GLM treatment in AS significantly reduced disease activity in most outcome measures in a similar fashion and were well tolerated in Canadian routine care. TRIAL REGISTRATION: NCT00741793 .
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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".