Meta-Analysis of Triglyceride-Glucose Index and Pregnancy Outcomes
by Wenli Zhang·Updated 1mo ago
20.6 KB1files
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Description
Wenli Zhang's systematic review and meta-analysis, uploaded on 2026-04-23, investigates the correlation between the Triglyceride-Glucose (TyG) index in early pregnancy and adverse outcomes. The analysis includes 23 studies with 220,985 total participants and 61,774 exposed individuals. Results indicate a significant positive association between a high TyG index and risks of gestational diabetes, hypertension, preeclampsia, preterm birth, large for gestational age, and macrosomia.
Use Cases
Training risk prediction models for gestational diabetes based on the TyG index.
Analyzing associations between metabolic markers and hypertensive disorders of pregnancy.
Studying early pregnancy indicators for adverse birth outcomes like preterm birth and macrosomia.
Strengths
Includes data from 23 studies with a total of 220,985 participants.
Systematic review protocol is registered with PROSPERO (CRD420261293271).
Analysis covers multiple pregnancy complications and adverse outcomes.
Limitations
The dataset is a 20.6 KB DOCX file, suggesting it contains a summary document rather than raw data tables.
Row and column-level data are unavailable for direct analysis.
The description does not specify the geographic or temporal coverage of the included studies.
Provenance
Source
Wenli Zhang via figshare.
Collection Method
Systematic review and meta-analysis of studies from databases including CNKI, Wanfang, VIP, China Biomedical Literature, PubMed, Embase, Web of Science, and Cochrane Library.
Time Range
Studies from database inception to December 28, 2025.
Freshness
Last updated 2026-04-23 05:35:10.
The file is a DOCX document; users seeking raw tabular data from the meta-analysis may need to extract it manually.