Trial reportArthritis & rheumatology (Hoboken, N.J.)2015
A Randomized Trial Comparing Disease Activity Measures for the Assessment and Prediction of Response in Rheumatoid Arthritis Patients Initiating Certolizumab Pegol.
Trial report in Arthritis & rheumatology (Hoboken, N.J.), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01255761 (Phase 4, Randomized, 52-Week Study To Evaluate Two Assessment Tools To Predict Treatment Success At 52 Weeks Based On A Treatment Decision At Week 12 In Subjects With Moderate To Severe Rheumatoid Arthritis Receiving Cimzia), which is not on this map. Cited by 16 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Phase 4, Randomized, 52-Week Study To Evaluate Two Assessment Tools To Predict Treatment Success At 52 Weeks Based On A Treatment Decision At Week 12 In Subjects With Moderate To Severe Rheumatoid Arthritis Receiving Cimzia
Who cites it
16 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Certolizumab pegol (CDP870) for rheumatoid arthritis in adults.The Cochrane database of systematic reviews · 2017Pooled it
- Clinical, Ultrasound, and Predictability Outcomes Following Certolizumab Pegol Treatment (with Methotrexate) in Patients with Moderate-to-Severe Rheumatoid Arthritis: 52-Week Results from the CZP-SPEED Study.Advances in therapy · 2018Trial
- A somatization comorbidity phenotype impacts response to therapy in rheumatoid arthritis: post-hoc results from the certolizumab pegol phase 4 PREDICT trial.Arthritis research & therapy · 2017Trial
- Machine learning-based prediction of response to Janus kinase inhibitors in patients with rheumatoid arthritis using clinical data.Frontiers in immunology · 2025Article
- Influence of Multimorbidity on New Treatment Initiation and Achieving Target Disease Activity Thresholds in Active Rheumatoid Arthritis: A Cohort Study Using the Rheumatology Informatics System for Effectiveness Registry.Arthritis care & research · 2023Article
- Machine Learning Applied to Patient-Reported Outcomes to Classify Physician-Derived Measures of Rheumatoid Arthritis Disease Activity.ACR open rheumatology · 2022Article
- Machine learning-based prediction model for responses of bDMARDs in patients with rheumatoid arthritis and ankylosing spondylitis.Arthritis research & therapy · 2021Article
- Gut microbial determinants of clinically important improvement in patients with rheumatoid arthritis.Genome medicine · 2021Article
- Multimorbidity and Fatigue in Rheumatoid Arthritis: A Cross-Sectional Study of a Population-Based Cohort.Rheumatology and therapy · 2020Article
- Measures of Rheumatoid Arthritis Disease Activity.Arthritis care & research · 2020Review
- High Proportion of Subjective Component to the Disease Activity Score is Associated with Favorable Response to Abatacept in Rheumatoid Arthritis.The patient · 2019Observational
- Uptake and Clinical Utility of Multibiomarker Disease Activity Testing in the United States.The Journal of rheumatology · 2019Article
- Targeting the extracellular matrix for delivery of bioactive molecules to sites of arthritis.British journal of pharmacology · 2019Review
- Treatment of Rheumatoid Arthritis with Certolizumab Pegol: Results from PROACTIVE, a Non-Interventional Study in the UK and Ireland.Advances in therapy · 2018Observational
- Certolizumab Pegol for Treating Rheumatoid Arthritis Following Inadequate Response to a TNF-α Inhibitor: An Evidence Review Group Perspective of a NICE Single Technology Appraisal.PharmacoEconomics · 2017Review
- Clinical trials of new drugs for the treatment of rheumatoid arthritis: focus on early disease.Annals of the rheumatic diseases · 2016Review
Corrections and comments
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveThe aim of the Patient/Physician Reported Efficacy Determination In Clinical Practice Trial (PREDICT; ClinicalTrials identifier NCT01255761) was to compare the patient-reported Routine Assessment of Patient Index Data 3 (RAPID-3) instrument with the investigator-based Clinical Disease Activity Index (CDAI) for assessing certolizumab pegol (CZP) treatment response in rheumatoid arthritis patients at 12 weeks and to predict the treatment response at week 52 using the data from week 12 (coprimary end points).
methodsPatients received 400 mg of CZP at weeks 0, 2, and 4 (loading dose), followed by 200 mg every 2 weeks thereafter. Patients were randomized 1:1 to assessment with the RAPID-3 or the CDAI. Responder classification was performed at week 12; treatment response was defined as a score of ≤6 or a 20% improvement over baseline on the RAPID-3 or a score of ≤10 or a 20% improvement over baseline on the CDAI. Long-term treatment success was defined as a Disease Activity Score in 28 joints using the erythrocyte sedimentation rate (DAS28-ESR) of ≤3.2 at week 52. Comparisons were made for the coprimary end points using noninferiority methods. Patients with improvement of <1 on the CDAI score or with no improvement on the RAPID-3 score at week 12 or patients with high levels of disease activity (CDAI score >22 or RAPID-3 score >12) at 2 consecutive visits were withdrawn from the study.
resultsPatients had longstanding disease (mean 8.9 years) and high levels of disease activity (mean scores of 6.3 on the DAS28-ESR, 16.1 on the RAPID-3, and 40.2 on the CDAI). Previous anti-tumor necrosis factor therapy had failed in 55.5% of them. At week 12, a total of 64.7% (by RAPID-3) and 76.4% (by CDAI) of the patients were classified as responders (difference of -11.9% [95% confidence interval -18.4%, -5.3%]). At week 52, a total of 31.5% (by RAPID-3) and 32.3% (by CDAI) of the responders achieved a low level of disease activity on the DAS28-ESR (difference of -1.3% [95% confidence interval -9.3%, 6.6%]).
conclusionThe CDAI classified more patients as CZP responders at week 12 than did the RAPID-3. Although these outcome measures were not statistically comparable, the positive predictive value for low disease activity at week 52 was similar. As these tools cover differing domains of therapy response, further evaluation for clinical disease activity assessments and treatment decisions is needed.
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