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OP0291 How Medication History and Average Disease Duration Modify Treatment Effect in Randomised Trials Using Targeted Therapies for Rheumatoid Arthritis: A Meta-Epidemiological Study
  1. A.W. Christensen1,
  2. S. Tarp1,
  3. D. Furst2,
  4. A. Døssing1,
  5. K. Amris1,
  6. H. Bliddal1,
  7. P. Taylor3,
  8. R. Christensen1
  9. on behalf of The Parker Institute, Department of Rheumatology, Copenhagen University Hospitals Bispebjerg and Frederiksberg, 2000 Frederiksberg, Denmark
  1. 1The Parker Institute, Department of Rheumatology, Copenhagen University Hospitals Bispebjerg and Frederiksberg, Frederiksberg, Denmark
  2. 2David Greffen School of Medicine, University of California in Los Angeles, Los Angeles, United States
  3. 3Kennedy Institute of Rheumatology: Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Botnar Research Centre, Oxford, United Kingdom


Background Randomised trials that have tested targeted therapies (targeted synthetic disease modifying antirheumatic drugs, tsDMARDs and biological disease modifying antirheumatic drugs, bDMARDs) for rheumatoid arthritis (RA) vary in several of their trial and participant characteristics [1], but little is known about whether these characteristics influence the overall effect of the therapies in the reported trials.

Objectives To determine whether trial and participant characteristics modify the treatment response when testing the efficacy of targeted therapies (in contrast to comparator) for RA.

Methods We conducted a meta-epidemiological study of all trials testing a dosage of a targeted therapy approved by regulatory authorities for the treatment of RA. Included trials reported ACR20 data at months 3-6 and used an add-on design. Anakinra and open-label trials were not included. Odds ratios (ORs) were calculated from the response rates and compared among the trial/participant characteristics of interest. Statistical analyses were performed using SAS v 9.3 (REML based models). Comparisons between strata are presented as the Ratio of Odds Ratios (ROR).

Results Sixty-two trials (19,923 RA patients) were included in the primary analyses using ACR20 as the outcome (table 1). Overall, targeted therapies constituted an effective treatment (OR 3.96 95% confidence interval 3.41 to 4.60). The net benefit of targeted therapies was lower in trials including “DMARD-naïve” patients compared with both “DMARD inadequate responders” (ROR=0.45, 0.31 to 0.66) and “biologic inadequate responders” (0.50, 0.29 to 0.87) trials (test for interaction: p=0.0002). Longer disease duration of the trial population was also statistically significantly associated with a higher likelihood of responding to treatment (β=1.05, 1.00 to 1.11 OR's per year). Analyses conducted using DAS28-remission as the outcome supported the above-mentioned findings.

Table 1.

Results of the stratified meta-analyses with ACR20 as the dependent variable

Conclusions Trial evidence suggests that using targeted therapies add the greatest net benefit in patients who are inadequate responders to previous DMARDs or biological agents, and trials including patients with longer disease duration. These findings justify that all RA patients should be exposed to DMARD treatment before introduction of a bDMARD is considered.


  1. Rahman MU, Buchanan J, Doyle MK, et al. Changes in patient characteristics in anti-tumour necrosis factor clinical trials for rheumatoid arthritis: results of an analysis of the literature over the past 16 years. Ann Rheum Dis 2011 Sep;70(9):1631-40.

Acknowledgements This study is supported financially by The Oak Foundation, Selsbjerg Holding and Region Hovedstadens Forskningsfond.

Disclosure of Interest None declared

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