Evidence map›Paper›PMID 40697607›Full record

ArticleWorld journal of diabetes2025

Predictive ability of lipid indices for large-for-gestational-age infants in pregnant females with gestational diabetes mellitus.

Lan-Lan Xiang, Jie Feng, Shu-Yu Li, Yi-Tian Zhu, Ya-Jun Chen, Tian-Ying Zhong, Ye-Fei Zhu, Yu Zeng

Abstract read
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Article in World journal of diabetes, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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0cells of the map it votes in
2citing papers in PubMed
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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

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Editorial: Neglected nuances in gestational diabetes.Frontiers in clinical diabetes and healthcare · 2025
    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.

Lan-Lan XiangDepartment of Clinical Laboratory, Women's Hospital of Nanjing Medical University, Nanjing Women and Children's Healthcare Hospital, Nanjing 210002, Jiangsu Province, China.
Jie FengKey Laboratory, NHC Key Laboratory of Contraceptives Vigilance and Fertility Surveillance, Nanjing 210000, Jiangsu Province, China.
Shu-Yu LiDepartment of Clinical Laboratory, Women's Hospital of Nanjing Medical University, Nanjing Women and Children's Healthcare Hospital, Nanjing 210002, Jiangsu Province, China.
Yi-Tian ZhuDepartment of Clinical Laboratory, Women's Hospital of Nanjing Medical University, Nanjing Women and Children's Healthcare Hospital, Nanjing 210002, Jiangsu Province, China.
Ya-Jun ChenDepartment of Clinical Laboratory, Women's Hospital of Nanjing Medical University, Nanjing Women and Children's Healthcare Hospital, Nanjing 210002, Jiangsu Province, China.
Tian-Ying ZhongDepartment of Clinical Laboratory, Women's Hospital of Nanjing Medical University, Nanjing Women and Children's Healthcare Hospital, Nanjing 210002, Jiangsu Province, China.
Ye-Fei ZhuLaboratory Medicine Center, The Second Affiliated Hospital of Nanjing Medical University, Nanjing 210011, Jiangsu Province, China.
Yu ZengDepartment of Clinical Laboratory, Women's Hospital of Nanjing Medical University, Nanjing Women and Children's Healthcare Hospital, Nanjing 210002, Jiangsu Province, China. zengyu@njmu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe primary complication associated with gestational diabetes mellitus (GDM) is delivery of an infant that is large for gestational age (LGA). Epidemiological findings have demonstrated that irregular lipid metabolism significantly contributes to insulin resistance, a key pathophysiological mechanism in GDM. However, the correlation between various lipid indices and the probability of delivering LGA infants remains inconsistent.

aimTo explore the relationships between lipid indices and the possibility of having LGA infants among GDM-affected pregnant females.

methodsBinary logistic regression methods were employed to evaluate the odds ratios and corresponding 95% confidence intervals for LGA according to five lipid indices. Restricted cubic spline models were applied to investigate dose-response relationships. The association between lipid indices and the risk of delivering LGA infants was further investigated among different subgroups. Receiver operating characteristic curves were utilized to assess the diagnostic performance of lipid indices.

resultsAcross crude and adjusted models, females with lipid indices in the upper two tertiles presented a markedly elevated risk of delivering LGA infants compared with the lowest tertile category. Conversely, high-density lipoprotein cholesterol levels demonstrated the contrary trend. Restricted cubic spline analyses revealed linear associations between the five lipid indices, except triglyceride levels, and the prevalence of LGA. The subgroup analysis highlighted that the correlation between lipid indices and the probability of LGA was inconsistent. The five lipid indices presented significant diagnostic efficacy, as indicated by receiver operating characteristic curve areas.

conclusionOur research demonstrated that lipid indices were effective predictors of the incidence of LGA infants in GDM-affected pregnancies irrespective of potential confounding factors.

Indexed as

Gestational diabetes mellitusLarge-for-gestational-age infantLipid indicesRestricted cubic splineSubgroup analysis

Identifiers

PMID40697607
PMCPMC12278077

What Socratic holds

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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 Socratic graph.