Evidence map›Paper›PMID 40620520›Full record

ArticleChina CDC weekly2025

Association Between Triglyceride-glucose Index, Its Trajectories and the Risk of Large for Gestational Age - Beijing Municipality, China, 2018-2022.

Lirui Zhang, Xin Yan, Wei Zheng, Xianxian Yuan, Ruihua Yang, Junhua Huang, Huiyuan Pang, Yixuan Lu, Yujie Zhang, Tengda Chen and 2 more

Abstract read
In one paragraph

Article in China CDC weekly, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

12 authors.

Lirui Zhang *Department of Nutrition and Endocrine Metabolism, Beijing Obstetrics and Gynecology Hospital, Capital Medical University. Beijing Maternal and Child Health Care Hospital, Beijing, China.
Xin Yan *Department of Nutrition and Endocrine Metabolism, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing, China.
Wei ZhengDepartment of Nutrition and Endocrine Metabolism, Beijing Obstetrics and Gynecology Hospital, Capital Medical University. Beijing Maternal and Child Health Care Hospital, Beijing, China.
Xianxian YuanDepartment of Nutrition and Endocrine Metabolism, Beijing Obstetrics and Gynecology Hospital, Capital Medical University. Beijing Maternal and Child Health Care Hospital, Beijing, China.
Ruihua YangDepartment of Nutrition and Endocrine Metabolism, Beijing Obstetrics and Gynecology Hospital, Capital Medical University. Beijing Maternal and Child Health Care Hospital, Beijing, China.
Junhua HuangDepartment of Nutrition and Endocrine Metabolism, Beijing Obstetrics and Gynecology Hospital, Capital Medical University. Beijing Maternal and Child Health Care Hospital, Beijing, China.
Huiyuan PangDepartment of Nutrition and Endocrine Metabolism, Beijing Obstetrics and Gynecology Hospital, Capital Medical University. Beijing Maternal and Child Health Care Hospital, Beijing, China.
Yixuan LuDepartment of Nutrition and Endocrine Metabolism, Beijing Obstetrics and Gynecology Hospital, Capital Medical University. Beijing Maternal and Child Health Care Hospital, Beijing, China.
Yujie ZhangDepartment of Nutrition and Endocrine Metabolism, Beijing Obstetrics and Gynecology Hospital, Capital Medical University. Beijing Maternal and Child Health Care Hospital, Beijing, China.
Tengda ChenDepartment of Nutrition and Endocrine Metabolism, Beijing Obstetrics and Gynecology Hospital, Capital Medical University. Beijing Maternal and Child Health Care Hospital, Beijing, China.
Ziyu WangDepartment of Nutrition and Endocrine Metabolism, Beijing Obstetrics and Gynecology Hospital, Capital Medical University. Beijing Maternal and Child Health Care Hospital, Beijing, China.
Guanghui LiDepartment of Nutrition and Endocrine Metabolism, Beijing Obstetrics and Gynecology Hospital, Capital Medical University. Beijing Maternal and Child Health Care Hospital, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

What is already known about this topic?: Large for gestational age (LGA) presents significant risks for both mothers and children. Studies have shown a positive association between the first trimester triglyceride-glucose (TyG) index and LGA risk. What is added by this report?: The TyG index in all three trimesters is positively associated with the risk of LGA. Managing the TyG index may help reduce this risk. What are the implications for public health practice?: These results suggest that monitoring the TyG index from the first trimester throughout pregnancy could help clinicians identify women at higher risk for LGA, guiding early interventions to mitigate risks. Further research is needed to explore the relationship and mechanisms between the TyG index and LGA.

Indexed as

Insulin resistanceLarge for gestational age (LGA)Triglyceride-glucose index

Identifiers

PMID40620520
PMCPMC12227888

What OpenQuestion holds

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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.