Glucometabolic outcomes of GLP-1 receptor agonist-based therapies in patients with type 2 diabetes: a systematic review and network meta-analysisResearch in context

Autor: Irene Caruso, Ludovico Di Gioia, Sergio Di Molfetta, Angelo Cignarelli, Suetonia Cressida Palmer, Patrizia Natale, Giovanni F.M. Strippoli, Sebastio Perrini, Annalisa Natalicchio, Luigi Laviola, Francesco Giorgino
Jazyk: angličtina
Rok vydání: 2023
Předmět:
Zdroj: EClinicalMedicine, Vol 64, Iss , Pp 102181- (2023)
Druh dokumentu: article
ISSN: 2589-5370
DOI: 10.1016/j.eclinm.2023.102181
Popis: Summary: Background: Innovative GLP-1 receptor agonist (GLP-1RA)-based treatment strategies—such as tirzepatide, GLP-1RA plus basal insulin fixed-ratio combinations [FRC], GLP-1RA plus sodium glucose cotransporter-2 inhibitors [SGLT-2i] combinations, and high-dose GLP-1RA—have been listed among the most efficacious options for type 2 diabetes management. However, differences in their glucometabolic effects have not been assessed in dedicated head-to-head trials. In the absence of such trials, we aimed to provide a useful comparison among these treatment strategies to guide clinical practice. Methods: In this network meta-analysis, we searched PubMed, MEDLINE, and Web of Science (from database inception to June 24, 2023) for randomised controlled studies, published in English, that enrolled individuals with type 2 diabetes treated with tirzepatide, iGlarLixi, iDegLira, GLP-1RA plus SGLT-2i combination, or high-dose GLP-1RA (dulaglutide 3 mg and 4.5 mg, semaglutide 2 mg) compared with placebo or active comparators. Eligible studies reported change from baseline in HbA1c as an outcome, which was the primary outcome of this analysis. Secondary outcomes were changes in fasting and post-prandial glucose, bodyweight, LDL-cholesterol, blood pressure and risk of hypoglycaemia. We assessed risk of bias through the Cochrane Collaboration's tool (RoB2 tool), publication bias through visual inspection of funnel plots and Egger's test, and heterogeneity by comparing the magnitude of the common between-study variance (τ2) for each outcome with empirical distributions of heterogeneity variances. This network meta-analysis was registered in PROSPERO (CRD42022329878). Findings: 40 trials were included. Tirzepatide 15 mg ranked first in terms of HbA1c reduction compared to other GLP-1RA-based strategies, even those including insulin (vs. iDegLira MD −0.40%, 95% CI [−0.66; −0.14], low certainty; vs. iGlarLixi MD −0.48%, 95% CI [−0.75; −0.21], low certainty), without increasing the risk of hypoglycaemia (vs. iDegLira OR 0.35, 95% CI [0.16; 0.79], high certainty; vs. iGlarLixi OR 0.31, 95% CI [0.20; 0.48], high certainty). Tirzepatide 15 mg was also the most efficacious on weight lowering, even compared to high-dose GLP-1RA (eg, semaglutide 2 mg MD −6.56 kg, 95% CI [−7.38; −5.73], low certainty) and GLP-1RA plus SGLT-2i combination (MD −4.61 kg, 95% CI [−5.29; −3.93], low certainty). Risk of bias and publication bias were generally low throughout studies, while high levels of heterogeneity were detected for most outcomes. Interpretation: Aiming to support clinicians in tailoring treatment to patients’ needs, we suggest that a hierarchy among treatment strategies be devised considering the best options for type 2 diabetes. Tirzepatide, followed by GLP-1RA plus basal insulin FRC and GLP-1RA plus SGLT-2i combination, was associated with greater benefit on HbA1c than high-dose GLP-1RA. Funding: Fondazione per la Ricerca Biomedica “Saverio e Isabella Cianciola” and Next Generation EU, in the context of the National Recovery and Resilience Plan, Investment PE8—Project Age-It: Ageing Well in an Ageing Society.
Databáze: Directory of Open Access Journals