Novel Antidiabetic Drugs and the Risk of Diabetic Retinopathy: A Systematic Review and Meta-Analysis of Randomized Controlled Trials.
Artur MałyszczakJoanna Przeździecka-DołykUrszula Szydełko-PaśkoMarta Misiuk-HojłoPublished in: Journal of clinical medicine (2024)
Background : The aim of this study is to compare the effect of sodium-glucose cotransporter-2 inhibitors (SGLT-2i), glucagon-like peptide-1 receptor agonists (GLP-1RA), and dipeptidyl peptidase-4 inhibitors (DPP-4i) on the risk of diabetic retinopathy (DR) in patients with type 2 diabetes (DM2). Methods: We systematically searched the databases Pubmed, Embase, and Clinicaltrials up to October 2, 2023, for randomized clinical trials (RCTs) of drugs from the GLP-1RA, SGLT-2i, and DPP-4i groups, with at least 24 weeks duration, including adult patients with DM2 and reported ocular complications. A pairwise meta-analysis was performed to calculate the odds ratio (OR) of DR incidents. Results: Our study included 61 RCTs with a total of 188,463 patients and 2773 DR events. Pairwise meta-analysis showed that included drug groups did not differ in the risk of DR events: GLP1-RA vs. placebo (OR 1.08; CI 95% 0.94, 1.23), DPP-4i vs. placebo (OR 1.10; CI 95% 0.84, 1.42), SGLT2i vs. placebo (OR 1.02; CI 95% 0.76, 1.37). Empagliflozin may be associated with a lower risk of DR, but this sub-analysis included only three RCTs (OR 0.38; 95% CI 0.17, 0.88, p = 0.02). Conclusions: Based on currently available knowledge, it is challenging to conclude that the new antidiabetic drugs significantly differ in their effect on DR complications.
Keyphrases
- diabetic retinopathy
- editorial comment
- systematic review
- optical coherence tomography
- rheumatoid arthritis
- ejection fraction
- end stage renal disease
- double blind
- meta analyses
- newly diagnosed
- disease activity
- risk factors
- prognostic factors
- clinical trial
- ankylosing spondylitis
- type diabetes
- randomized controlled trial
- phase iii
- systemic lupus erythematosus
- big data
- case control
- deep learning
- artificial intelligence
- preterm birth
- adverse drug