Discontinuation of non-anti-TNF drugs for rheumatoid arthritis in interventional versus observational studies: a systematic review and meta-analysis.

PURPOSE: Although randomized controlled trials (RCTs) are the gold standard for the assessment of clinical outcomes, long-term extension trials (LTEs) and observational cohorts may help generate evidence. Our goal was to compare the discontinuation rates of abatacept, rituximab, and tocilizumab in rheumatoid arthritis (RA) reported in different study designs. METHODS: A systematic review was conducted with searches in PubMed, Scopus, and the Cochrane Library, plus a manual search, for RCTs, LTEs, and observational cohorts reporting discontinuation rates by any of three causes (all-cause, inefficacy, adverse events). Meta-analyses with sensitivity analyses and meta-regressions were conducted. RESULTS: Of the 111 studies included, 74 were RCTs (n = 55) or LTEs (n = 17) reporting data on abatacept (n = 33), rituximab (n = 10), and tocilizumab (n = 31) and 37 were observational cohort studies (abatacept = 11, rituximab = 8, tocilizumab = 18). The follow-up duration did not differ among the study designs. Discontinuation rates were similar among the drugs but varied among the study designs. Discontinuation rates were significantly higher in cohort studies than those in interventional studies for the three drugs. Sensitivity analyses could not identify patient characteristics associated with these differences. Meta-regression analyses demonstrated no correlation between study follow-up duration and discontinuation rates. CONCLUSIONS: The discontinuation rates reported for non-anti-TNF drugs varied relative to the study design in which they were investigated. Regulatory agencies, price-setting entities, and evidence-gathering researchers should consider the effect of the real-life environment in their decisions and conclusions.

Analysis of completeness for spontaneous reporting of disease-modifying therapies in multiple sclerosis.

Introduction: Considering the need for effective postmarketing surveillance of disease-modifying therapies (DMTs) in multiple sclerosis (MS), we analyzed the potential of the spontaneous reports for safety signal detection, verifying the completeness of the reports in the FDA Adverse Event Reporting System (FAERS).Methods: All reports with DMTs for MS considered the primary suspect cause of ADRs and registered between January 2004 and June 2019 were selected. The vigiGrade completeness score was applied and reports with a score greater than 0.80 were considered well documented. Descriptive statistical analysis and comparisons of well-documented reports by DMTs were performed.Results: A total of 297,926 reports were analyzed. The lowest completeness rates were observed for type of report (13.5%), dose (62.7%), and time from treatment start to the ADR (79.0%). Overall, 80.8% of reports were classified as well documented and those related to natalizumab had the highest proportion (92.4%, p < 0.001), while the lowest was observed for reports sent in 2017 (53.1%, p < 0.001) and for teriflunomide (48.5%, p < 0.001).Conclusions: The high proportion of well-documented reports for DMTs indicates that they can be a valuable source for safety signal detection. A more careful analysis should be performed for data from the groups identified with low completeness to avoid the disclosure of spurious results.

Lag times in the publication of network meta-analyses: a survey.

OBJECTIVE: We assessed the extent of lag times in the publication and indexing of network meta-analyses (NMAs). STUDY DESIGN: This was a survey of published NMAs on drug interventions. SETTING: NMAs indexed in PubMed (searches updated in May 2020). PRIMARY AND SECONDARY OUTCOME MEASURES: Lag times were measured as the time between the last systematic search and the article submission, acceptance, online publication, indexing and Medical Subject Headings (MeSH) allocation dates. Time-to-event analyses were performed considering independent variables (geographical origin, Journal Impact Factor, Scopus CiteScore, open access status) (SPSS V.24, R/RStudio). RESULTS: We included 1245 NMAs. The median time from last search to article submission was 6.8 months (204 days (IQR 95-381)), and to publication was 11.6 months. Only 5% of authors updated their search after first submission. There is a very slightly decreasing historical trend of acceptance (rho=-0.087; p=0.010), online publication (rho=-0.080; p=0.008) and indexing (rho=-0.080; p=0.007) lag times. Journal Impact Factor influenced the MeSH allocation process, but not the other lag times. The comparison between open access versus subscription journals confirmed meaningless differences in acceptance, online publication and indexing lag times. CONCLUSION: Efforts by authors to update their search before submission are needed to reduce evidence production time. Peer reviewers and editors should ensure authors' compliance with NMA standards. The accuracy of these findings depends on the accuracy of the metadata used; as we evaluated only NMA on drug interventions, results may not be generalisable to all types of studies.

Safety of Biologics Approved for the Treatment of Rheumatoid Arthritis and Other Autoimmune Diseases: A Disproportionality Analysis from the FDA Adverse Event Reporting System (FAERS).

INTRODUCTION: The molecular and pharmacological complexity of biologic disease-modifying antirheumatic drugs used for the management of rheumatoid arthritis (RA) favors the occurrence of adverse drug reactions (ADRs), which should be constantly monitored in post-marketing safety studies. OBJECTIVE: The aim of this study was to identify signals of disproportionate reporting (SDR) of clinical relevance related to the use of biologic drugs approved for RA and other autoimmune diseases. METHODS: All suspected ADRs registered in the FDA Adverse Event Reporting System between January 2003 and June 2016 were collected. The reporting odds ratio was used as a measure of disproportionality to identify possible SDRs related to biologics. Those involving important medical events and designated medical events (DME) were prioritized. RESULTS: In total, 2602 SDRs were prioritized. The most commonly reported were 'Infections and infestations' (32.2%) and 'Neoplasms benign, malignant, and unspecified' (20.4%), and were mainly related to use of infliximab (25.3%, p < 0.001, and 28.8%, p = 0.002, respectively). Sixty-three signals involving DMEs were identified, most of which were related to rituximab (n = 27), and were mainly due to 'blood disorders'. Amongst the DMEs detected for more than one biologic, 'intestinal perforation' and 'pulmonary fibrosis' were related to most of them. CONCLUSIONS: The results of this study highlight possible safety issues associated with biologics, whose relationship should be more thoroughly investigated. Our results contribute to future research on the identification of clinically relevant risks associated with these drugs, and may help contribute to their rational and safe use.