Evidence map›Paper›PMID 39934742›Full record

ArticleBMC pregnancy and childbirth2025

The first-trimester triglyceride glucose-body mass index is a valuable predictor for adverse pregnancy outcomes.

Zhaoran Meng, Minhuan Lin, Lizhu Song, Yiqing Chen, Songqing Deng, Shuting Xia, Xuewen Huang, Yanmin Luo

Abstract read
In one paragraph

Article in BMC pregnancy and childbirth, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Observational
  7. Article
  8. Article
  9. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Zhaoran Meng *Department of Obstetrics & Gynecology, The First Affiliated Hospital of Sun Yat-Sen University, No.58, Zhong Shan Er Road, Guangzhou, China.
Minhuan Lin *Department of Obstetrics & Gynecology, The First Affiliated Hospital of Sun Yat-Sen University, No.58, Zhong Shan Er Road, Guangzhou, China.
Lizhu Song *Department of Obstetrics & Gynecology, The First Affiliated Hospital of Sun Yat-Sen University, No.58, Zhong Shan Er Road, Guangzhou, China.
Yiqing ChenDepartment of Obstetrics & Gynecology, The First Affiliated Hospital of Sun Yat-Sen University, No.58, Zhong Shan Er Road, Guangzhou, China.
Songqing DengDepartment of Obstetrics & Gynecology, The First Affiliated Hospital of Sun Yat-Sen University, No.58, Zhong Shan Er Road, Guangzhou, China.
Shuting XiaDepartment of Obstetrics & Gynecology, The First Affiliated Hospital of Sun Yat-Sen University, No.58, Zhong Shan Er Road, Guangzhou, China.
Xuewen HuangDepartment of Obstetrics & Gynecology, The First Affiliated Hospital of Sun Yat-Sen University, No.58, Zhong Shan Er Road, Guangzhou, China.
Yanmin LuoDepartment of Obstetrics & Gynecology, The First Affiliated Hospital of Sun Yat-Sen University, No.58, Zhong Shan Er Road, Guangzhou, China. luoyanm@mail.sysu.edu.cn.

Funding

National Key Research and Development Program of China 2023YFC2705900
6 · The paper itself

Abstract

backgroundAlthough insulin resistance has been associated with unfavorable pregnancy outcomes, the ability of non-insulin-based insulin resistance indicators to predict adverse pregnancy outcomes has yet to be thoroughly understood. The study aims to investigate the association and predictability of triglyceride glucose-body mass index (TyG-BMI), a biomarker of non-insulin-based insulin resistance, with the risks of adverse pregnancy outcomes.

methodThe retrospective study included 1,136 subjects. Group-based trajectory modeling (GBTM) was employed to identify the TyG-BMI index trajectory. Logistic regression, restricted cubic spline (RCS) regression, and subgroup analysis were used to assess the association between the TyG-BMI index trajectory and the first-trimester TyG-BMI index with the risks of adverse pregnancy outcomes. Receiver-operating characteristic (ROC) curve analysis and the DeLong test were utilized to evaluate the prediction ability of the first-trimester TyG-BMI index for adverse pregnancy outcomes.

resultsGBTM revealed three distinct trajectories of the TyG-BMI index. Using the "low-stable" trajectory as a reference, the "high-stable" trajectory was independently associated with an increased risk of gestational diabetes mellitus (GDM) (aOR = 2.01, 95% CI 1.20-3.37), hypertensive disorders of pregnancy (HDP) (aOR = 6.05, 95% CI 3.00-12.18), and large for gestational age (LGA) (aOR = 2.83, 95% CI 1.28-6.25). The highest quartile of the first-trimester TyG-BMI index was independently linked to elevated GDM (aOR = 3.27, 95% CI 1.92-5.59), HDP (aOR = 9.26, 95% CI 3.19-26.88), and LGA (aOR = 2.26, 95% CI 1.00-5.09)risks. Additionally, the third quartile of the first-trimester TyG-BMI index had 2.21-fold increased odds of GDM (aOR = 2.21, 95% CI 1.27-3.82). The first-trimester TyG-BMI index demonstrated a significant linear association with GDM, HDP, SGA, and LGA risks. Compared to the TyG-BMI index trajectory, the highest quartile of the first-trimester TyG-BMI index exhibited a stronger association with the risks of GDM and HDP (aOR = 3.09 and 7.39, respectively). Furthermore, according to the ROC curve, the first-trimester TyG-BMI index outperformed the TyG index and triglyceride/high-density lipoprotein cholesterol (TG/HDL-c) ratio at predicting HDP (0.726 [0.650-0.801] vs. 0.603 [0.527-0.679] vs. 0.615 [0.537-0.693]), LGA (0.619 [0.540-0.699] vs. 0.534 [0.454-0.613] vs. 0.540 [0.458-0.622]), and GDM (0.664 [0.622-0.705] vs. 0.632 [0.588-0.676] vs. 0.604 [0.560-0.649]). According to the DeLong test, the first-trimester TyG-BMI index was a more valuable predictor for LGA and HDP compared to TyG index and TG/HDL-c ratio.

conclusionHigher levels of first-trimester TyG-BMI and a "high-stable" trajectory were linked to a greater risk of adverse pregnancy outcomes. Furthermore, as compared to TyG and TG/HDL-c, the first-trimester TyG-BMI index is a valuable predictor for HDP, GDM, and LGA.

Indexed as

Blood GlucoseBody Mass IndexPregnancy OutcomePregnancy Trimester, FirstTriglyceridesAdultBiomarkersDiabetes, GestationalFemaleHumansHypertension, Pregnancy-InducedInsulin ResistancePredictive Value of TestsPregnancyRetrospective StudiesRisk FactorsBiomarkersBlood GlucoseTriglyceridesAdverse pregnancy outcomesGestational diabetes mellitusGroup-based trajectory modelingInsulin resistanceTriglyceride glucose-body mass index

Identifiers

PMID39934742
PMCPMC11816746

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.