Evidence map›Paper›PMID 37881497›Full record

ArticleFrontiers in endocrinology2023

Association of triglyceride-glucose index levels with gestational diabetes mellitus in the US pregnant women: a cross-sectional study.

Yan Zeng, Li Yin, Xiaoping Yin, Danqing Zhao

Abstract read
In one paragraph

Article in Frontiers in endocrinology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 3 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

32 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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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

4 authors.

Yan ZengDepartment of Obstetrics and Gynecology, Affiliated Hospital of Guizhou Medical University, Guiyang, China.
Li YinDepartment of Obstetrics and Gynecology, Affiliated Hospital of Guizhou Medical University, Guiyang, China.
Xiaoping YinDepartment of Obstetrics and Gynecology, Affiliated Hospital of Guizhou Medical University, Guiyang, China.
Danqing ZhaoDepartment of Obstetrics and Gynecology, Affiliated Hospital of Guizhou Medical University, Guiyang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This investigation aimed to assess the correlation between the triglyceride-glucose (TyG) index and gestational diabetes mellitus (GDM) in pregnant women in the United States. Methods: We calculated the TyG index utilizing data from pregnant women who participated in the National Health and Nutrition Examination Survey (NHANES) through 1999 to March 2020, and then employed multivariate logistic regression, smoothed curve fitting, and subgroup analysis to investigate the association between the TyG index and gestational diabetes during pregnancy. Results: Logistic regression models revealed a positive association between the TyG index and GDM, remaining significant even after adjusting for all confounding variables (OR=3.43, 95% CI: 1.20-9.85, Conclusion: The TyG index correlates positively with the GDM, however its diagnostic efficacy is limited. Further research on the TyG index as an early predictor of GDM is required.

Indexed as

Diabetes, GestationalCross-Sectional StudiesFemaleGlucoseHumansNutrition SurveysPregnancyPregnant PeopleTriglyceridesGlucoseTriglyceridescross-sectinal studygestational diabetes mellitusinsulin resistanceNHANEStriglyceride-glucose index

Identifiers

PMID37881497
PMCPMC10597685

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.