Cost-effectiveness of intensification with sodium-glucose co-transporter-2 inhibitors in patients with type 2 diabetes on metformin and sitagliptin vs direct intensification with insulin in the United Kingdom

Adverse drug events in cost-effectiveness models of pharmacological interventions for diabetes, diabetic retinopathy, and diabetic macular edema: a scoping review

OBJECTIVE

The objective of this review was to examine the role of adverse drug events (ADEs) caused by pharmacological interventions in cost-effectiveness models for diabetes mellitus, diabetic retinopathy, and diabetic macular edema.

INTRODUCTION

Guidelines for economic evaluation recognize the importance of including ADEs in the analysis, but in practice, consideration of ADEs in cost-effectiveness models seem to be vague. Inadequate inclusion of these harmful outcomes affects the reliability of the results, and the information provided by economic evaluation could be misleading. Reviewing whether and how ADEs are incorporated in cost-effectiveness models is necessary to understand the current practices of economic evaluation.

INCLUSION CRITERIA

Studies included were published between 2011-2022 in English, representing cost-effectiveness analyses using modeling framework for pharmacological interventions in the treatment of diabetes mellitus, diabetic retinopathy, or diabetic macular edema. Other types of analyses and other types of conditions were excluded.

METHODS

The databases searched included MEDLINE (PubMed), CINAHL (EBSCOhost), Scopus, Web of Science Core Collection, and NHS Economic Evaluation Database. Gray literature was searched via the National Institute for Health and Care Excellence, European Network for Health Technology Assessment, the National Institute for Health and Care Research, and the International Network of Agencies for Health Technology Assessment. The search was conducted on January 1, 2023. Titles and abstracts were screened for inclusion by 2 independent reviewers. Full-text review was conducted by 3 independent reviewers. A data extraction form was used to extract and analyze the data. Results were presented in tabular format with a narrative summary, and discussed in the context of existing literature and guidelines.

RESULTS

A total of 242 reports were extracted and analyzed in this scoping review. For the included analyses, type 2 diabetes was the most common disease (86%) followed by type 1 diabetes (10%), diabetic macular edema (9%), and diabetic retinopathy (0.4%). The majority of the included analyses used a health care payer perspective (88%) and had a time horizon of 30 years or more (75%). The most common model type was a simulation model (57%), followed by a Markov simulation model (18%). Of the included cost-effectiveness analyses, 26% included ADEs in the modeling, and 13% of the analyses excluded them. Most of the analyses (61%) partly considered ADEs; that is, only 1 or 2 ADEs were included. No difference in overall inclusion of ADEs between the different conditions existed, but the models for diabetic retinopathy and diabetic macular edema more often omitted the ADE-related impact on quality of life compared with the models for diabetes mellitus. Most analyses included ADEs in the models as probabilities (55%) or as a submodel (40%), and the most common source for ADE incidences were clinical trials (65%).

CONCLUSIONS

The inclusion of ADEs in cost-effectiveness models is suboptimal. The ADE-related costs were better captured than the ADE-related impact on quality of life, which was most pronounced in the models for diabetic retinopathy and diabetic macular edema. Future research should investigate the potential impact of ADEs on the results, and identify the criteria and policies for practical inclusion of ADEs in economic evaluation.

Prediction of complications in health economic models of type 2 diabetes: a review of methods used

AIM

Diabetes health economic (HE) models play important roles in decision making. For most HE models of diabetes 2 diabetes (T2D), the core model concerns the prediction of complications. However, reviews of HE models pay little attention to the incorporation of prediction models. The objective of the current review is to investigate how prediction models have been incorporated into HE models of T2D and to identify challenges and possible solutions.

METHODS

PubMed, Web of Science, Embase, and Cochrane were searched from January 1, 1997, to November 15, 2022, to identify published HE models for T2D. All models that participated in The Mount Hood Diabetes Simulation Modeling Database or previous challenges were manually searched. Data extraction was performed by two independent authors. Characteristics of HE models, their underlying prediction models, and methods of incorporating prediction models were investigated.

RESULTS

The scoping review identified 34 HE models, including a continuous-time object-oriented model (n = 1), discrete-time state transition models (n = 18), and discrete-time discrete event simulation models (n = 15). Published prediction models were often applied to simulate complication risks, such as the UKPDS (n = 20), Framingham (n = 7), BRAVO (n = 2), NDR (n = 2), and RECODe (n = 2). Four methods were identified to combine interdependent prediction models for different complications, including random order evaluation (n = 12), simultaneous evaluation (n = 4), the 'sunflower method' (n = 3), and pre-defined order (n = 1). The remaining studies did not consider interdependency or reported unclearly.

CONCLUSIONS

The methodology of integrating prediction models in HE models requires further attention, especially regarding how prediction models are selected, adjusted, and ordered.

Current gaps in management and timely referral of cardiorenal complications among people with type 2 diabetes mellitus in the Middle East and African countries: Expert recommendations

The upsurge of type 2 diabetes mellitus is a major public health concern in the Middle East and North Africa (MENA) and Africa (AFR) region, with cardiorenal complications (CRCs) being the predominant cause of premature morbidity and mortality. High prevalence of cardiometabolic risk factors, lack of awareness among patients and physicians, deficient infrastructure, and economic constraints lead to a cascade of CRCs at a significantly earlier age in MENA and AFR. In this review, we present consensus recommendations by experts in MENA and AFR, highlighting region-specific challenges and potential solutions for management of CRCs. Health professionals who understand sociocultural barriers can significantly increase patient awareness and encourage health-seeking behavior through simple educational tools. Increasing physician knowledge on early identification of CRCs and personalized treatment based on risk stratification, alongside optimum glycemic control, can mitigate therapeutic inertia. Early diagnosis of high-risk people with regular and systematic monitoring of cardiorenal parameters, development of region-specific care pathways for timely referral to specialists, followed by guideline-recommended care with novel antidiabetics are imperative. Adherence to guideline-recommended care can catalyze utilization of sodium glucose cotransporter 2 inhibitors and glucagon-like peptide 1 receptor agonists with demonstrated cardiorenal benefits-thus paving the way for overcoming care gaps in a cost-effective manner. Leveraging digital technology like electronic medical records can help generate real-world data and provide insights on voids in adoption of newer antidiabetic medications. A patient-centric approach, collaborative care among physicians from different specialties, alongside involvement of policy makers are key for improving patient outcomes and quality of care in MENA and AFR.

Informing and Empowering Patients and Clinicians to Make Evidence-Supported Outcome-Based Decisions in Relation to SGLT2 Inhibitor Therapies: The Use of the Novel Years of Drug administration (YoDa) Concept

The American Diabetes Association guidelines for the management of type 2 diabetes mellitus recommends treating patients with atherosclerotic cardiovascular diseases, heart failure or diabetic kidney disease with sodium-glucose co-transporter-2 inhibitors or glucagon-like peptide-1 receptor agonists, irrespective of the baseline HbA1c, to reduce adverse renal and cardiovascular outcomes. Initiation of such therapies have a significant cost impact on health economies. Cost of gain in quality-adjusted life-years is normally used for cost effectiveness for a particular drug. In the absence of head-to-head comparisons, prescribers may go for the cheapest option, which may not necessarily be the right decision. We propose using the calculated 'YoDa' (Years of Drug administration) as an easily comparable metric between the drug accrual cost and clinical outcomes. YoDa is calculated as a product of numbers needed to treat and the median duration in years that the trial ran over, to accrue the positive clinical outcomes. Clinical phenotyping of the patient to the specific inclusion and exclusion criteria of relevant clinical trials could guide the clinician to choose the most appropriate therapy. We also propose a series of steps or 'deliberations', which a clinician should consider in making a final choice of sodium-glucose co-transporter-2 inhibitor therapy. A comprehensive summary of the sodium-glucose co-transporter-2 inhibitor trials, clinical phenotyping and YoDa calculations for various significant clinical outcomes could assist making evidence-based, patient-individualised and cost-effective management plans for diabetes care. Informing and Empowering Patients and Clinicians to Make Evidence-Supported Outcome-Based Decisions in Relation to SGLT2 Inhibitor Therapies: The Use of The Novel Years of Drug administration (YoDa) Concept.

Cardiovascular risk and the implications for clinical practice of cardiovascular outcome trials in type 2 diabetes

Cardiovascular disease (CVD) is the primary cause of morbidity and mortality in patients with type 2 diabetes (T2D). This review examines the impact of cardiovascular outcome trials (CVOTs) on clinical practice. To date, all CVOTs have shown non-inferiority versus placebo (both added to standard of care) against a primary endpoint of 3- or 4-point major adverse cardiovascular event (MACE), confirming CV safety of these treatments. Additionally, some CVOTs have shown superiority to placebo against the same MACE endpoint, suggesting a cardioprotective action for these treatments. This is reflected in guideline updates, which primary care physicians should consider when personalizing treatments.

A Systematic Review of Cost-Effectiveness of Sodium-Glucose Cotransporter Inhibitors for Type 2 Diabetes

PURPOSE OF REVIEW

Sodium-glucose cotransporter 2 inhibitors (SGLT2i) are the most recently approved class of drugs (since 2012) for type 2 diabetes mellitus (T2DM), but their economic merits have yet been fully confirmed. The objective of this review was to evaluate the most updated evidence that examined the cost-effectiveness of SGLT2i for T2DM.

RECENT FINDINGS

We systematically searched Medline (PubMed), EMBASE, and Web of Science for eligible articles from January 1, 2011, to October 31, 2019, using combinations of search words. A supplementary search using reference lists of eligible articles and other review articles was also performed. A multistage screening process was carried out with duplicates removal, abstract screening, and full-text reading to confirm eligibility. Two reviewers independently screened the eligible articles and assessed reporting quality using the Consolidated Health Economic Evaluation Reporting Standards (CHEERS) checklist. A total of 24 studies were included in the final review. All studies showed good quality according to the CHEERS checklist (scored 21-24). Seven studies compared SGLT2i vs. dipeptidyl peptidase-4 inhibitors (DPP-4i), 3 studies compared SGLT2i vs. sulfonylureas (SU), 3 compared SGLT2i vs. glucagon-like peptide-1 receptor agonist (GLP-1 RA), 2 compared SGLT2i vs. SGLT2i, 3 compared SGLT2i vs. other antidiabetic therapies including thiazolidinediones (TZD), alpha-glucosidase inhibitors (AGI) or insulin, and 5 compared SGLT2i vs. standard care/metformin. Most studies concluded SGLT2i was cost-effective relative to its comparator except GLP-1 RA, where two studies suggested GLP-1 RA was the favorable treatment option relative to SGLT2i. The literature demonstrated that SGLT2i may be cost-effective compared to many antidiabetic therapies including DPP-4i, SU, TZD, AGI, insulin, and standard care .

Sodium-Glucose Cotransporter-2 (SGLT2) Inhibitors: A Clinician's Guide

This comprehensive review covers the historical background, physiology, application in type 2 diabetes, novel uses, cardiovascular benefits, side effects and contraindications of sodium-glucose cotransporter-2 (SGLT2) inhibitors. SGLT2 inhibitors are an insulin-independent class of oral antihyperglycemic medication that clinicians use in the treatment of type 2 diabetes. Multiple landmark clinical trials support the effectiveness of SGLT2 inhibitors in reducing blood glucose levels, but it is important to understand when to properly utilize them. SGLT2 inhibitors are the most beneficial as an adjunct medication in addition to metformin in patients with a history of cardiovascular or renal disease who need further hemoglobin A1c reduction. The novel mechanism of action also demands clinicians be aware of the side effects not typically experienced with other oral antihyperglycemic drugs, such as genital tract infections, lower leg amputations, electrolyte disturbances and bone fractures. On top of their benefits in type 2 diabetes, novel uses for SGLT2 inhibitors are being uncovered. Diabetic patients with non-alcoholic fatty liver disease, who are at an increased risk of cirrhosis and hepatocellular carcinoma, experience a clinically significant reduction in serum alanine aminotransferase levels. SGLT2 inhibitors are also effective at lowering body weight in obese individuals and decreasing systolic blood pressure. Dual SGLT1/SGLT2 inhibitors are currently being investigated as possibly the first oral medication for type 1 diabetes.