TyG Index and Pregnancy Outcomes: Meta-Analysis of 23 Studies

A 2026 systematic review and meta-analysis by Wenli Zhang, aggregating results from 23 studies involving 220,985 participants. The work investigates the correlation between the Triglyceride-Glucose (TyG) index measured in early pregnancy and the risk of various pregnancy complications and adverse outcomes. The analysis was registered with PROSPERO (CRD420261293271) and the data is shared under a CC-BY-4.0 license.

Use Cases

• Training risk prediction models for gestational diabetes based on early pregnancy TyG index values.
• Conducting secondary meta-analyses on the association between insulin resistance markers and hypertensive disorders of pregnancy.
• Validating the TyG index as a simple clinical indicator for identifying high-risk pregnancies requiring intervention.

Strengths

• Aggregates data from 23 studies with a total of 220,985 participants, providing a substantial evidence base.
• Reports statistically significant associations (p < 0.05) between a high TyG index and multiple adverse outcomes, including gestational diabetes and preeclampsia.
• Follows a registered, systematic review methodology with quality assessment using the Newcastle-Ottawa Scale.

Limitations

• The dataset is a 21.0 KB document (DOCX) containing summary results, not the underlying patient-level or study-level tabular data.
• Row and column structures are unknown, limiting direct computational analysis without manual extraction.
• The geographic and institutional sources of the 23 included studies are not specified in the provided metadata.

Provenance

Source

Systematic review of databases including CNKI, Wanfang, VIP, China Biomedical Literature, PubMed, Embase, Web of Science, and Cochrane Library.

Collection Method

Meta-analysis performed using RevMan 5.4 and Stata 17.0 on studies identified up to December 28, 2025.

Time Range

Studies from database inception to December 28, 2025.

Freshness

Last updated 2026-04-23 05:35:07.