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      Therapeutic Equivalence of Biosimilar and Reference Biologic Drugs in Rheumatoid Arthritis : A Systematic Review and Meta-analysis

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          Key Points

          Question

          Are biosimilars of adalimumab, etanercept, and infliximab associated with equivalent treatment compared with their reference biologic drugs for the management of rheumatoid arthritis?

          Findings

          In this systematic review and meta-analysis of 25 randomized clinical trials that included data on 10 642 patients with rheumatoid arthritis, patients using biosimilars had equivalent clinical responses and functional capacity compared with patients using reference biologic drugs.

          Meaning

          These findings suggest that biosimilars may yield therapeutically equivalent outcomes compared with reference biologic drugs for the management of rheumatoid arthritis.

          Abstract

          This systematic review and meta-analysis assesses the efficacy, safety, and immunogenicity associated with biosimilars of adalimumab, etanercept, and infliximab compared with their reference biologics for patients with rheumatoid arthritis.

          Abstract

          Importance

          Biosimilar drugs are potentially lower-cost versions of biologics that may improve access to therapy. However, there is a lack of adequate systematic reviews demonstrating equivalence between these drugs for the treatment of rheumatoid arthritis (RA).

          Objectives

          To assess the efficacy, safety, and immunogenicity associated with biosimilars of adalimumab, etanercept, and infliximab compared with their reference biologics in patients with RA.

          Data Sources

          MEDLINE via PubMed, Embase, Cochrane Central Register of Controlled Trials, and LILACS databases were searched from inception to September 2021.

          Study Selection

          Head-to-head randomized clinical trials (RCTs) of biosimilars of adalimumab, etanercept, and infliximab and their biologic reference drugs for RA were assessed.

          Data Extraction and Synthesis

          Two authors independently abstracted all data. Meta-analysis was conducted with bayesian random effects using relative risks (RRs) for binary outcomes and standardized mean differences (SMDs) for continuous outcomes, with 95% credible intervals (CrIs) and trial sequential analysis. Specific domains were assessed for the risk of bias in equivalence and noninferiority trials. This study was conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) guideline.

          Main Outcomes and Measures

          Equivalence was tested using prespecified margins for the American College of Rheumatology criteria, with at least 20% improvement in the core set measures (ACR20) (ie, RR, 0.94 to 1.06), and for the Health Assessment Questionnaire–Disability Index (HAQ-DI) (ie, SMD, −0.22 to 0.22). Secondary outcomes included 14 items measuring safety and immunogenicity.

          Results

          A total of 25 head-to-head trials provided data on 10 642 randomized patients with moderate to severe RA. Biosimilars met equivalence with reference biologics in terms of ACR20 response (24 RCTs with 10 259 patients; RR, 1.01; 95% CrI, 0.98 to 1.04; τ 2 = 0.000) and change of HAQ-DI scores (14 RCTs with 5579 patients; SMD, −0.04; 95% CrI, −0.11 to 0.02; τ 2 = 0.002) considering prespecified margins of equivalence. Trial sequential analysis found evidence for equivalence for ACR20 since 2017 and HAQ-DI since 2016. Overall, biosimilars were associated with similar safety and immunogenicity profiles compared with reference biologics.

          Conclusion and Relevance

          In this systematic review and meta-analysis, biosimilars of adalimumab, infliximab, and etanercept were associated with clinically equivalent treatment effects compared with their reference biologics for the treatment of RA.

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          Most cited references91

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          The PRISMA 2020 statement: an updated guideline for reporting systematic reviews

          The Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) statement, published in 2009, was designed to help systematic reviewers transparently report why the review was done, what the authors did, and what they found. Over the past decade, advances in systematic review methodology and terminology have necessitated an update to the guideline. The PRISMA 2020 statement replaces the 2009 statement and includes new reporting guidance that reflects advances in methods to identify, select, appraise, and synthesise studies. The structure and presentation of the items have been modified to facilitate implementation. In this article, we present the PRISMA 2020 27-item checklist, an expanded checklist that details reporting recommendations for each item, the PRISMA 2020 abstract checklist, and the revised flow diagrams for original and updated reviews.
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            A basic introduction to fixed-effect and random-effects models for meta-analysis.

            There are two popular statistical models for meta-analysis, the fixed-effect model and the random-effects model. The fact that these two models employ similar sets of formulas to compute statistics, and sometimes yield similar estimates for the various parameters, may lead people to believe that the models are interchangeable. In fact, though, the models represent fundamentally different assumptions about the data. The selection of the appropriate model is important to ensure that the various statistics are estimated correctly. Additionally, and more fundamentally, the model serves to place the analysis in context. It provides a framework for the goals of the analysis as well as for the interpretation of the statistics. In this paper we explain the key assumptions of each model, and then outline the differences between the models. We conclude with a discussion of factors to consider when choosing between the two models. Copyright © 2010 John Wiley & Sons, Ltd. Copyright © 2010 John Wiley & Sons, Ltd.
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              Diagnosis and Management of Rheumatoid Arthritis

              Rheumatoid arthritis (RA) occurs in about 5 per 1000 people and can lead to severe joint damage and disability. Significant progress has been made over the past 2 decades regarding understanding of disease pathophysiology, optimal outcome measures, and effective treatment strategies, including the recognition of the importance of diagnosing and treating RA early.
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                Author and article information

                Journal
                JAMA Netw Open
                JAMA Netw Open
                JAMA Network Open
                American Medical Association
                2574-3805
                26 May 2023
                May 2023
                26 May 2023
                : 6
                : 5
                : e2315872
                Affiliations
                [1 ]Departamento de Medicina Preventiva, Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo, Brazil
                [2 ]Programa de Pos-Graduaçao em Fisioterapia, Universidade Ibirapuera, Sao Paulo, Brazil
                [3 ]Disciplina de Reumatologia do Hospital das Clinicas da Faculdade de Medicina da Universidade de Sao Paulo, Sao Paulo, Brazil
                [4 ]Disciplina de Reumatologia do Hospital das Clinicas da Faculdade de Medicina da Universidade de Sao Paulo, Sao Paulo, Brazil
                [5 ]Health Technology Assessment Unit, Hospital Alemao Oswaldo Cruz, Sao Paulo, Brazil
                [6 ]Departamento de Medicina Preventiva, Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo, Brazil
                Author notes
                Article Information
                Accepted for Publication: April 15, 2023.
                Published: May 26, 2023. doi:10.1001/jamanetworkopen.2023.15872
                Open Access: This is an open access article distributed under the terms of the CC-BY License. © 2023 Ascef BDO et al. JAMA Network Open.
                Corresponding Author: Bruna de Oliveira Ascef, PhD, Departamento de Medicina Preventiva, Faculdade de Medicina, Universidade de Sao Paulo, Av. Dr. Arnaldo, 455 – 2° andar – sala 2214, Sao Paulo, SP 01246-903, Brazil ( brunaascef16@ 123456gmail.com ).
                Author Contributions: Drs Ascef and de Soárez had full access to all of the data in the study and take responsibility for the integrity of the data and the accuracy of the data analysis.
                Concept and design: Ascef, Almeida, Medeiros-Ribeiro, Oliveira de Andrade, de Soárez.
                Acquisition, analysis, or interpretation of data: Ascef, Almeida, Medeiros-Ribeiro, Oliveira Junior.
                Drafting of the manuscript: Ascef, Almeida, Oliveira Junior.
                Critical revision of the manuscript for important intellectual content: Almeida, Medeiros-Ribeiro, Oliveira de Andrade, Oliveira Junior, de Soárez.
                Statistical analysis: Ascef.
                Administrative, technical, or material support: Almeida, Oliveira Junior.
                Supervision: Almeida, Medeiros-Ribeiro, Oliveira de Andrade, Oliveira Junior, de Soárez.
                Conflict of Interest Disclosures: None reported.
                Data Sharing Statement: See Supplement 2.
                Additional Contributions: Tiago da Veiga Pereira, PhD (Applied Health Research Centre, Li Ka Shing Knowledge Institute, St Michael’s Hospital, Toronto, Ontario, Canada and Department of Health Sciences, College of Medicine, University of Leicester, Leicester, UK), made substantial contributions to design, analysis, and interpretation of data and writing assistance for this manuscript. No compensation was given. Dr Veiga Pereira has permitted us to include his contribution in this manuscript.
                Article
                zoi230478
                10.1001/jamanetworkopen.2023.15872
                10220520
                37234004
                2d6664b7-9553-4673-b7b9-07180a389a53
                Copyright 2023 Ascef BDO et al. JAMA Network Open.

                This is an open access article distributed under the terms of the CC-BY License.

                History
                : 13 December 2022
                : 15 April 2023
                Categories
                Research
                Original Investigation
                Online Only
                Rheumatology

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