Evidence map›Paper›PMID 38970008›Full record

ArticleCardiovascular diabetology2024

Association between atherogenic index of plasma and gestational diabetes mellitus: a prospective cohort study based on the Korean population.

Juan Zhang, Yaoyu Suo, Li Wang, Dong Liu, Yue Jia, Yajuan Fu, Weining Fan, Yideng Jiang

Registry-linked trialAbstract read
In one paragraph

Article in Cardiovascular diabetology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02276144 (Investigation on the Frequency and Obstetric Significance of Metabolic Syndrome and Non-alcoholic Fatty Liver During Pregnancy), which is not on this map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing 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.

NCT02276144 unknown statusnot on this map

Investigation on the Frequency and Obstetric Significance of Metabolic Syndrome and Non-alcoholic Fatty Liver During Pregnancy

TypeobservationalSponsorSeoul National University HospitalRan2014 to 2021Enrolled2,400ConditionsFatty Liver, Gestational DiabetesArmsLiver ultrasound
3 · Its place in the literature

Who cites it

32 citing papers in PubMed.

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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

8 authors.

Juan ZhangSchool of Basic Medicine, Ningxia Medical University, Yinchuan, China.
Yaoyu SuoSchool of Basic Medicine, Ningxia Medical University, Yinchuan, China.
Li WangGeneral Hospital of Ningxia Medical University, Yinchuan, China.
Dong LiuSchool of Basic Medicine, Ningxia Medical University, Yinchuan, China.
Yue JiaSchool of Basic Medicine, Ningxia Medical University, Yinchuan, China.
Yajuan FuSchool of Basic Medicine, Ningxia Medical University, Yinchuan, China. 20210202@nxmu.edu.cn.
Weining FanSchool of Basic Medicine, Ningxia Medical University, Yinchuan, China. fwnnyzy@126.com.
Yideng JiangSchool of Basic Medicine, Ningxia Medical University, Yinchuan, China. jydeng@nxmu.edu.cn.

Funding

National Natural Science Foundation of China 82360103National Natural Science Foundation of China U21A20343Natural Science Foundation of Ningxia Province 2022AAC03573
6 · The paper itself

Abstract

backgroundAtherogenic index of plasma (AIP) is a non-traditional lipid parameter that can reflect the burden of atherosclerosis. A lipid profile resembling atherosclerosis emerged during pregnancy. Although lipid metabolism is pivotal in diabetes pathogenesis, there is no evidence linking AIP to gestational diabetes mellitus (GDM). Therefore, our objective was to explore the relationship between AIP and GDM and assess AIP's predictive capability for GDM.

methodsThis was a secondary analysis based on data from a prospective cohort study in Korea involving 585 single pregnant women. AIP was calculated as log10 (TG/HDL). We examined the relationship between AIP and GDM using logistic regression models, curve fitting, sensitivity analyses, and subgroup analyses. Receiver operating characteristic (ROC) analysis was also used to determine the ability of AIP to predict GDM.

resultsThe average age of the participants was 32.06 ± 3.76 years. The AIP was 0.24 ± 0.20 on average. The GDM incidence was 6.15%. After adjustment for potentially confounding variables, AIP showed a positive linear relationship with GDM (P for non-linearity: 0.801, OR 1.58, 95% CI 1.27-1.97). The robustness of the connection between AIP and GDM was demonstrated by sensitivity analyses and subgroup analyses. An area under the ROC curve of 0.7879 (95% CI 0.7087-0.8671) indicates that AIP is an excellent predictor of GDM. With a specificity of 75.41% and sensitivity of 72.22%, the ideal AIP cut-off value for identifying GDM was 0.3557.

conclusionsThis study revealed that the AIP at 10-14 weeks of gestation was independently and positively correlated with GDM risk. AIP could serve as an early screening and monitoring tool for pregnant women at high risk of GDM, thereby optimizing GDM prevention strategies.

trial registrationClinicalTrials.gov registration no. NCT02276144.

Indexed as

AtherosclerosisBiomarkersDiabetes, GestationalPredictive Value of TestsAdultFemaleHumansIncidencePregnancyProspective StudiesRepublic of KoreaRisk AssessmentRisk FactorsTriglyceridesBiomarkersTriglyceridesAtherogenic index of plasmaCohort studyGestational diabetes mellitusPredictors

Identifiers

PMID38970008
PMCPMC11227226

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Registered trials

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.