Maternal BMI and Early-Onset Group B Streptococcus Risk Meta-Analysis Data

3,707,047 women from 19 observational studies are included in this meta-analysis on the association between maternal body mass index and early-onset group B Streptococcus disease. The dataset, created by Elisabeth Emanuel Graae and last updated in May 2026, contains meta-regression results showing a 2.4% increase in odds ratio per BMI unit increase. It is stored in an XLS file with a size of 17.5 KB.

Use Cases

• Assessing the association between prepregnancy BMI and neonatal GBS disease risk based on the meta-regression odds ratios.
• Evaluating proxy outcomes for GBS risk, such as intrapartum vaginal or rectovaginal colonization, as described in the systematic review.
• Informing clinical prevention strategies for early-onset GBS by analyzing the hazard ratios reported for different BMI categories.

Strengths

• Data is derived from a systematic review of 19 observational studies, suggesting a structured evidence base.
• The meta-analysis aggregates data from a large population of 3,707,047 women, providing substantial scale.
• Results include specific statistical measures, such as an odds ratio of 1.4 for a BMI of 35 and a hazard ratio of 2.4 for BMI 35.0–39.9.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is very small (17.5 KB), indicating it likely contains summary statistics rather than individual patient records.

Provenance

Source

figshare

Collection Method

Systematic review and meta-analysis of studies from MEDLINE, Embase, and Cochrane CENTRAL.

Freshness

Last updated 2026-05-08 17:26:49; freshness should be verified.