Long-Term Durability of Certolizumab Pegol in Patients with Rheumatoid Arthritis Over 5 Years: An Analysis of Pooled Clinical Trial Data
Bibliographic record
Abstract
INTRODUCTION: There is a paucity of data on how patient characteristics may affect the long-term durability of certolizumab pegol (CZP) in patients with rheumatoid arthritis (RA). This study therefore aimed to investigate CZP durability and reasons for discontinuation over 5 years between different subgroups of patients with RA. METHODS: Data were pooled from 27 clinical trials in RA patients. Durability was defined as the percentage of patients randomized to CZP at baseline who were still on CZP treatment at a given timepoint. Post hoc analyses of clinical trial data on CZP durability and reasons for discontinuation among different patient subgroups were conducted using Kaplan-Meier curves and Cox proportional hazards modeling. Patient subgroups included: age (18- < 45/45- < 65/ ≥ 65 years), gender (male/female), prior tumor necrosis factor inhibitor (TNFi) use (yes/no), and disease duration (< 1/1- < 5/5- < 10/ ≥ 10 years). RESULTS: Among 6927 patients, the durability of CZP was 39.7% at 5 years. Patients aged ≥ 65 years had a 33% greater risk of CZP discontinuation than patients 18- < 45 years (hazard ratio [95% confidence interval]: 1.33 [1.19-1.49]) and patients with prior TNFi use had a 24% greater risk of discontinuing CZP than patients without (1.24 [1.12-1.37]). Conversely, greater durability was observed among patients who had a baseline disease duration of ≥ 1 year. Durability did not differ in the gender subgroup. Of the 6927 patients, the most common reason for discontinuation was inadequate levels of efficacy (13.5%); followed by adverse events (11.9%); consent withdrawn (6.7%); lost to follow-up (1.8%); protocol violation (1.7%); other reasons (9.3%). CONCLUSIONS: CZP durability was comparable with durability data on other bDMARDs in RA patients. Patient characteristics that were associated with greater durability included younger age, TNFi-naïvety, and disease duration ≥ 1 year. Findings may be helpful in informing clinicians on a patient's likelihood of discontinuing CZP, based on their baseline characteristics.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".