Gestational diabetes mellitus (GDM): diagnosis using biochemical parameters and anthropometric measurements during the first trimester in the Indian population

The independent predictors for the subsequent development of GDM in high-risk pregnancies are HOMA-IR, SHBG, Total cholesterol, and subcutaneous fat (SC) levels. These parameters can be used to create a regression model to predict the occurrence of GDM.

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Publication Details

Journal
Hormone Molecular Biology and Clinical Investigation
Published
2024-11-11
DOI
https://doi.org/10.1515/hmbci-2024-0040
Citations
1
Primary Topic
Gestational Diabetes Research and Management
Type
article
Field-Weighted Citation Impact
0.58
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article

Gestational diabetes mellitus (GDM): diagnosis using biochemical parameters and anthropometric measurements during the first trimester in the Indian population

Pikee Saxena, Jagriti Jagriti, Prabhat Prabhat, Arun Kumar et al.
1 citations
Hormone Molecular Biology and Clinical Investigation
Gestational Diabetes Research and Management
0.58
article

Gestational diabetes mellitus (GDM): diagnosis using biochemical parameters and anthropometric measurements during the first trimester in the Indian population

Pikee Saxena, Jagriti Jagriti, Prabhat Prabhat, Arun Kumar, Anju Jain
article en
1 citations

Abstract

The independent predictors for the subsequent development of GDM in high-risk pregnancies are HOMA-IR, SHBG, Total cholesterol, and subcutaneous fat (SC) levels. These parameters can be used to create a regression model to predict the occurrence of GDM.

Hormone Molecular Biology and Clinical InvestigationVol. 46(2)
Lipomic Healthcare (India) (IN), All India Institute of Medical Sciences (IN)
Good health and well-being
Openalex Percentile: Top 26%
Gestational Diabetes Research and Management
0.58
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