QUIPS Study Quality Assessment for Maternal BMI and Neonatal GBS Disease Meta-Analysis

QUIPS study quality assessment data accompanies a systematic review and meta-analysis evaluating the association between maternal body mass index and early-onset group B Streptococcus disease. The meta-analysis included 19 observational studies with data from 3,707,047 women and 277,887 cases. The dataset was authored by Elisabeth Emanuel Graae and last updated on May 8, 2026.

Use Cases

• Assessing risk of bias in included studies based on the QUIPS tool methodology described.
• Replicating or validating the meta-regression analysis showing a 2.4% increase in odds ratio per BMI unit.
• Investigating the relationship between maternal BMI and proxy outcomes like intrapartum vaginal GBS colonization.
• Supporting the development of improved prevention strategies for early-onset GBS disease.

Strengths

• Based on a substantial evidence base of 19 studies encompassing 3,707,047 women.
• Includes results from a very large study of 1,971,346 live singleton births with 780 EOGBS cases.
• Risk of bias was assessed using a standardized tool (QUIPS).

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 at 9.5 KB, indicating limited scope, likely containing only assessment scores or summary data.

Provenance

Source

figshare

Collection Method

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

Time Range

Studies searched up to January 28, -2026.

Freshness

Last updated 2026-05-08 17:26:52; freshness should be verified

Geography

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