Hierarchical network meta-analysis models for synthesis of evidence from randomised and non-randomised studies.

Background: With the increased interest in the inclusion of non-randomised data in network meta-analyses (NMAs) of randomised controlled trials (RCTs), analysts need to consider the implications of the differences in study designs as such data can be prone to increased bias due to the lack of randomisation and unmeasured confounding. This study aims to explore and extend a number of NMA models that account for the differences in the study designs, assessing their impact on the effect estimates and uncertainty.

Methods: Bayesian random-effects meta-analytic models, including naïve pooling and hierarchical models differentiating between the study designs, were extended to allow for the treatment class effect and accounting for bias, with further extensions allowing for bias terms to vary depending on the treatment class.

Double-counting of populations in evidence synthesis in public health: a call for awareness and future methodological development.

Background: There is a growing interest in the inclusion of real-world and observational studies in evidence synthesis such as meta-analysis and network meta-analysis in public health. While this approach offers great epidemiological opportunities, use of such studies often introduce a significant issue of double-counting of participants and databases in a single analysis. Therefore, this study aims to introduce and illustrate the nuances of double-counting of individuals in evidence synthesis including real-world and observational data with a focus on public health.

Methods for the inclusion of real-world evidence in network meta-analysis.

Background: Network Meta-Analysis (NMA) is a key component of submissions to reimbursement agencies world-wide, especially when there is limited direct head-to-head evidence for multiple technologies from randomised controlled trials (RCTs). Many NMAs include only data from RCTs. However, real-world evidence (RWE) is also becoming widely recognised as a valuable source of clinical data.

Development, content validation, and reliability of the Assessment of Real-World Observational Studies (ArRoWS) critical appraisal tool.

Purpose: The objective was to develop and test a pragmatic critical appraisal tool, the Assessment of Real-World Observational Studies (ArRoWS), to quickly and easily assess the quality of real-world evidence studies using electronic health records.

Methods: The initial ArRoWS tool was developed by identifying items frequently found in existing validated assessment instruments and adapting these items to specifically assess real-world evidence studies. The tool was revised based on recommendations from an expert panel of 14 senior academic individuals specializing in epidemiology and content validity was measured.

Efficacy and tolerability of sodium-glucose co-transporter-2 inhibitors and glucagon-like peptide-1 receptor agonists: A systematic review and network meta-analysis.

Aim: To compare the efficacy and tolerability of sodium-glucose co-transporter 2 inhibitors (SGLT-2is) and glucagon-like peptide-1 receptor agonists (GLP-1RAs) in adults with type 2 diabetes.

Materials And Methods: Electronic databases were searched from inception to 24 April 2019 for randomized controlled trials reporting change in glycated haemoglobin (HbA1c) at approximately 24 and/or 52 weeks for SGLT-2is and/or GLP-1RAs (classified as short- and long-acting). Bayesian network meta-analyses were conducted to compare within and between SGLT-2i and GLP-1RA classes for cardiometabolic efficacy and adverse events (PROSPERO registration number: CRD42018091306).

Efficacy and safety of sodium-glucose cotransporter 2 inhibitors (SGLT-2is) and glucagon-like peptide-1 receptor agonists (GLP-1RAs) in patients with type 2 diabetes: a systematic review and network meta-analysis study protocol.

Introduction: Sodium-glucose cotransporter 2 inhibitors (SGLT-2is) and glucagon-like peptide-1 receptor agonists (GLP-1RAs) are two classes of glucose-lowering drugs gaining popularity in the treatment of type 2 diabetes mellitus (T2DM). Current guidelines suggest patient-centred approaches when deciding between available hyperglycaemia drugs with no indication to which specific drug should be administered. Despite systematic reviews and meta-analyses being conducted within SGLT-2is and GLP-1RAs, differences across these classes of drugs have not been investigated.