scholarly journals Are American College of Rheumatology 50% response criteria superior to 20% criteria in distinguishing active aggressive treatment in rheumatoid arthritis clinical trials reported since 1997? A meta-analysis of discriminant capacities

2006 ◽  
Vol 65 (12) ◽  
pp. 1602-1607 ◽  
Author(s):  
C P Chung ◽  
J L Thompson ◽  
G G Koch ◽  
I Amara ◽  
V Strand ◽  
...  
2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Chris Cameron ◽  
Abhishek Varu ◽  
Arthur Lau ◽  
Mahdi Gharaibeh ◽  
Marcelo Paulino ◽  
...  

Abstract Background The importance of adjusting for cross-study heterogeneity in control group response rates when conducting network meta-analyses (NMA) was demonstrated using a case study involving a comparison of biologics for the treatment of moderate-to-severe rheumatoid arthritis. Methods Bayesian NMAs were conducted for American College of Rheumatology (ACR) 50 treatment response based upon a set of randomized controlled trials (RCTs) identified by a recently completed systematic review of the literature. In addition to the performance of an unadjusted NMA, a model adjusting for cross-study heterogeneity of control group response rates using meta-regression was fit to the data. Model fit was evaluated, and findings from both analyses were compared with regard to clinical interpretations. Results ACR 50 response data from a total of 51 RCTs and 16,223 patients were analyzed. Inspection of cross-study variability in control group response rates identified considerable differences between studies. NMA incorporating adjustment for this variability was associated with an average change of 38.1% in the magnitude of the ORs between treatment comparisons, and over 64% of the odds ratio changed by 15% or more. Important changes in the clinical interpretations drawn from treatment comparisons were identified with this improved modeling approach. Conclusions In comparing biologics for moderate to severe rheumatoid arthritis, failure to adjust for cross-trial differences in the control arm response rates in NMA can lead to biased estimates of comparative efficacy between treatments.


2019 ◽  
Vol 47 (1) ◽  
pp. 28-34 ◽  
Author(s):  
Katie Bechman ◽  
Mark Yates ◽  
Sam Norton ◽  
Andrew P. Cope ◽  
James B. Galloway

Objective.Understanding the placebo response is critical to interpreting treatment efficacy, particularly for agents with a ceiling to their therapeutic effect, where an increasing placebo response makes it harder to detect potential benefit. The objective of this study is to assess the change in placebo responses over time in rheumatoid arthritis (RA) randomized placebo-controlled trials (RCT) for drug licensing authorization.Methods.The Cochrane Controlled Trials Register database was searched to identify RCT of biological or targeted synthetic disease-modifying antirheumatic drugs (DMARD) in RA. Studies were excluded if patients were conventional synthetic DMARD (csDMARD)–naive, not receiving background csDMARD therapy, or were biologic experienced. Metaregression model was used to evaluate changes in American College of Rheumatology (ACR) 20, ACR50, and ACR70 treatment response over time.Results.There were 32 trials in total: anti–tumor necrosis factor therapy (n = 15), tocilizumab (n = 4), abatacept (n = 2), rituximab (n = 2), and Janus kinase inhibitors (n = 9). From 1999 to 2018, there was no significant trend in the age or sex of patients in the placebo arm. Disease duration, swollen joint count, and 28-joint count Disease Activity Score using erythrocyte sedimentation rate at baseline all significantly declined over time. There was a statistically significant increase in placebo ACR50 and ACR70 responses (ACR50 β = 0.41, 95% CI 0.09–0.74, p = 0.01; ACR70 β = 0.18, 95% CI 0.04–0.31, p = 0.01) that remained significant after controlling for potential confounders.Conclusion.There has been a rise in the placebo response in RA clinical trials over the last 2 decades. Shifting RA phenotype, changes in trial design, and expectation bias are possible explanations for this phenomenon. This observation has important implications when evaluating newer novel agents against established therapies.


Author(s):  
L.-J. Chen ◽  
Y.-J. Zhou ◽  
Z.-H. Wen ◽  
F. Tian ◽  
J.-Y. Li

AbstractThe current systematic review and meta-analysis aims to evaluate the efficacy and safety of iguratimod (IGU) combined with methotrexate (MTX) versus MTX alone in rheumatoid arthritis (RA). Two independent investigators searched for original randomized controlled trials (RCTs) related to the combination of IGU and MTX in RA published before November 1, 2019, in PubMed, Cochrane Library, Embase, the China National Knowledge Infrastructure (CNKI), the Chinese Biomedical Literature Database (CBM), and WanFang Data. Additionally, we searched clinical trial registry websites. We assessed the methodological quality of the included trials using the Cochrane Collaboration tool and the seven-point Jadad scale. Statistical analyses were performed using Review Manager (RevMan) 5.3 (Copenhagen: The Nordic Cochrane Centre, The Cochrane Collaboration, 2014). Meta-regression and publication bias analyses were performed using Stata version 14 software (StataCorp., College Station, TX, USA). A total of 7 RCTs consisting of 665 participants, with 368 participants in the active arm and 297 in the placebo arm, were included in the meta-analysis. The American College of Rheumatology (ACR) value was better in the IGU + MTX group than in the MTX alone group, with a pooled relative risk (RR) for ACR20 (American College of Rheumatology 20% improvement criteria), ACR50, and ACR70 of 1.40 (95% CI, 1.13–1.74), 2.09 (95% CI, 1.67–2.61), and 2.24 (95% CI, 1.53–3.28), respectively. The results of the meta-analysis demonstrated that there was no statistical significance in adverse events (1.06 (95% CI, 0.92–1.23)). The combined treatment is an effective, safe, and economical treatment option for patients who do not respond well to methotrexate alone or for patients who cannot afford expensive biologics that have no confirmed efficacy.


2017 ◽  
Vol 77 (1) ◽  
pp. 98-103 ◽  
Author(s):  
Claire Rempenault ◽  
Bernard Combe ◽  
Thomas Barnetche ◽  
Cécile Gaujoux-Viala ◽  
Cédric Lukas ◽  
...  

ObjectiveCardiovascular disease (CVD) is the leading cause of mortality in patients with rheumatoid arthritis (RA). Hydroxychloroquine (HCQ) has been shown to improve survival rates in other inflammatory diseases. We aimed to assess the available literature on the cardiovascular impact of HCQ in patients with RA.MethodsWe systematically searched for studies evaluating the effects of HCQ on cardiovascular outcomes of known risk factors for CVD in patients with RA. Databases searched were MEDLINE (via PubMed), EMBase, Cochrane Library and the American College of Rheumatology and European League Against Rheumatism annual meetings. A meta-analysis was performed with a random-effects model, estimating mean differences (MDs), HRs and 95% CIs. Data were extracted by one investigator and independently checked by another.ResultsThe literature search revealed 185 articles and abstracts of interest; further examination resulted in 16 studies fulfilling the criteria. The MDs between HCQ users and non-users in levels of total, low-density and high-density cholesterol and triglycerides were −9.8 (95% CI −14.0 to −5.6), −10.6 (95% CI −14.2 to −7.0), +4.1 (95% CI 2.2 to 6.0) and −19.2 (95% CI −27.2 to −11.1), respectively. Diabetes incidence was lower for HCQ ever users than never users (HR 0.59 (95% CI 0.49 to 0.70)). HCQ seemed to decrease insulin resistance and incidence of CVD, but data were too few for meta-analysis.ConclusionBesides its limited efficacy for disease activity and progression, HCQ may benefit the metabolic profile and to a lesser extent cardiovascular events in patients with RA, which suggests its usefulness combined with other conventional synthetic disease-modifying antirheumatic drugs.


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