RESUMO
BACKGROUND: In most rheumatic and musculoskeletal diseases (RMDs), global assessments of disease activity by physicians and patients are 'anchor outcomes' in therapeutic trials evaluating whether a treatment is effective. OBJECTIVES: To compare physicians' vs patients' global assessments of disease activity in RMD trials and explore reasons for discrepancies between them. METHODS: Eligible trials were sampled from systematic reviews of treatments for RMDs by using the Cochrane database of systematic reviews (i.e., reviews from the Cochrane Musculoskeletal Group, [CMSG]). Randomized controlled trials (RCTs) of interventions for RMDs were eligible if they reported quantitative analyses of both physicians´ and patients´ global assessments at the same time point for the comparison of the same experimental intervention against the same comparator (i.e., placebo, no treatment, or other treatment). We accepted data from trial comparisons for each type of outcome, regardless of the type of intervention and type of RMD within the CMSG. Using mixed-effects meta-regression models, we assigned the dependent variable as the ratio of odds ratios (ROR) of global change with the experimental intervention, versus the control comparator. An ROR>1 would indicate that physicians rated the experimental intervention more favorable than their patients did. RESULTS: We were able to estimate the ROR (data from both physicians' and patients' global assessments) across 70 trials (116 randomized comparisons) in 7 diseases (ankylosing spondylitis, fibromyalgia, psoriatic arthritis, osteoarthritis, rheumatoid arthritis, systemic lupus erythematosus, and gout). The combined ROR across all effectiveness comparisons were rated significantly in favor of the intervention by physicians: ROR=1.15 CI 95% (1.07 to 1.23). This combined ROR was based on a substantial heterogeneity across comparisons (I2=89.1%). Across all the stratified analyses, the type of the RMD was an informative reason for discrepancies, with a statistically significant ROR in rheumatoid arthritis ROR=1.33, CI 95% (1.13 to 1.56), unlike the ROR in all other conditions (ROR=1.04, CI 95% (0.95-1.14). CONCLUSION: In comparative effectiveness research on rheumatology, physicians' global assessments of disease activity, surprisingly, are more in favor of the experimental interventions than are those of the patients.
Assuntos
Artrite Reumatoide , Médicos , Reumatologia , Artrite Reumatoide/tratamento farmacológico , Humanos , Razão de Chances , Revisões Sistemáticas como AssuntoRESUMO
OBJECTIVE: Our primary objective was to develop an Outcome Measures in Rheumatology (OMERACT) core domain set to capture the impact of glucocorticoids (GC), both positive and negative, on patients with Rheumatic conditions. METHODS: The OMERACT Filter 2.1 was used to guide core domain selection. Systematic literature reviews, qualitative studies and quantitative surveys were conducted by the OMERACT GC Impact working group to identify candidate domains for a core domain set. A summary of prior work and Delphi exercise were presented at the OMERACT 2020 virtual GC workshop. A proposed GC Impact core domain set derived from this work was presented for discussion in facilitated breakout groups. Participants voted on the proposed GC Impact core domain set. RESULTS: 113 people, including 23 patient research partners, participated in two virtual workshops conducted at different times on the same day. The proposed mandatory domains to be evaluated in clinical trials involving GCs were: infection, bone fragility, hypertension, diabetes, weight, fatigue, mood disturbance and death. In addition, collection of disease specific outcomes was included in the core domain set as "mandatory in specific circumstances". The proposed core domain set was endorsed by 100% (23/23) of the patient research partners and 92% (83/90) of the remaining participants, including clinicians, researchers and industry stakeholders. CONCLUSION: A GC Impact core domain set was endorsed at the OMERACT 2020 virtual workshop. The OMERACT GC Impact working group will now progress to identify, develop and validate measurement tools to best address these domains in clinical trials.