JOURNAL ARTICLE
META-ANALYSIS
RESEARCH SUPPORT, NON-U.S. GOV'T
SYSTEMATIC REVIEW
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Effect of proprotein convertase subtilisin/kexin type 9 (PCSK9) monoclonal antibodies on new-onset diabetes mellitus and glucose metabolism: A systematic review and meta-analysis.

AIMS: To investigate the effect of two clinically applied proprotein convertase subtilisin/kexin type 9 monoclonal antibodies (PCSK9-mAbs) on glycaemia and new-onset diabetes mellitus (NODM).

MATERIALS AND METHODS: PubMed, MEDLINE, Embase, Cochrane databases and ClinicalTrials.gov websites were systematically searched for randomized controlled trials that reported data on fasting plasma glucose (FPG), glycated haemoglobin (HbA1c) or NODM incidence. Risk ratios (RRs) for NODM and mean difference (MD) for FPG and HbA1c with 95% confidence intervals (CIs) were calculated using a fixed-effect model. Heterogeneity was examined using the I2 statistic and potential publication bias was assessed using funnel plots and Egger's test.

RESULTS: A total of 18 studies including 26 123 participants without diabetes were identified. No significant difference was observed in the PCSK9-mAb treatment groups in terms of NODM (RR 1.05, 95% CI 0.95-1.16), FPG (MD 0.00 mmol/L, 95% CI -0.02 to 0.02) or HbA1c (MD 0.00% [0 mmol/L], 95% CI -0.01 to 0.01) compared with control groups. Subgroup (PCSK9-mAb type, participant characteristics, treatment duration, treatment method and differences in control treatment) and sensitivity analyses did not significantly alter the results. Meta-regression analyses showed that risk of NODM was not associated with baseline age, baseline body mass index (BMI), proportion of men, treatment duration or percent LDL cholesterol reduction.

CONCLUSIONS: Alirocumab and evolocumab, two types of PCSK9-mAb approved by the US Food and Drug Administration and the European Medicines Agency, had no significant impact on NODM and glucose homeostasis, regardless of PCSK9-mAb type, participant characteristics, treatment duration, treatment method and differences in control treatment. Baseline age, BMI, proportion of men, treatment duration, and percent change of LDL cholesterol did not influence diabetes risk.

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