Meta-Analysis of Continuous Glucose Monitoring Effects on Neonatal Outcomes

2,349 pregnant women with diabetes from 17 randomized controlled trials compare continuous glucose monitoring (CGM) to standard self-monitoring (SMBG). The analysis reports pooled risk ratios for outcomes including neonatal intensive care unit admission, large for gestational age, and neonatal hypoglycemia. The meta-analysis was conducted by Xiaojun Lai and published in 2026.

Use Cases

• Compare pooled risk ratios for NICU admission between CGM and SMBG groups to assess intervention effectiveness.
• Analyze the risk ratio for small for gestational age (SGA) to investigate potential adverse effects of CGM use.
• Evaluate heterogeneity statistics (I2) across outcomes like large for gestational age (LGA) and neonatal hyperbilirubinemia to assess study consistency.
• Examine confidence intervals for neonatal hypoglycemia risk ratios to understand the precision of the estimated effect.

Strengths

• Includes data from 17 randomized controlled trials, a substantial number for a meta-analysis in this clinical area.
• Reports specific participant counts: 1,234 allocated to CGM and 1,115 to SMBG from a total of 2,349 women.
• Provides quantitative effect measures (risk ratios) with 95% confidence intervals and P-values for five primary neonatal outcomes.

Limitations

• The underlying data is not provided in a structured, tabular format; the analysis is presented as a summary document (DOCX).
• Specific patient-level data, study protocols, or raw trial results are not available for independent re-analysis.
• The temporal coverage of the included studies is not specified beyond the literature search end date of February 2026.

Provenance

Source

Systematic review and meta-analysis of published randomized controlled trials from databases including PubMed, Embase, Scopus, and Cochrane Library.

Collection Method

Random-effects meta-analysis performed on included studies to calculate pooled risk ratios.

Time Range

Literature search conducted from database inception through February 5, 2026.

Freshness

The document was last updated in March 2026, indicating it includes recent research up to that date.