Evidence map›Paper›PMID 41888770›Full record

ArticleBMC endocrine disorders2026

Trimester-specific association of gestational Atherogenic Index of Plasma (AIP) with adverse pregnancy outcomes among women with and without GDM: a cohort study.

Lanfang Zhao, Yuxiao Huang, Le Wang, Ziwei Ding, Jingjing Liu, Tuyan Fan, Tianli Zhu, Mengjuan Lu, Hong Gan, Hui Gao and 9 more

Abstract read
In one paragraph

Article in BMC endocrine disorders, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

  1. 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

19 authors.

Lanfang ZhaoDepartment of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, No. 81 Meishan Road, Hefei, Anhui, 230032, China.
Yuxiao HuangDepartment of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, No. 81 Meishan Road, Hefei, Anhui, 230032, China.
Le WangDepartment of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, No. 81 Meishan Road, Hefei, Anhui, 230032, China.
Ziwei DingDepartment of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, No. 81 Meishan Road, Hefei, Anhui, 230032, China.
Jingjing LiuDepartment of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, No. 81 Meishan Road, Hefei, Anhui, 230032, China.
Tuyan FanDepartment of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, No. 81 Meishan Road, Hefei, Anhui, 230032, China.
Tianli ZhuDepartment of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, No. 81 Meishan Road, Hefei, Anhui, 230032, China.
Mengjuan LuDepartment of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, No. 81 Meishan Road, Hefei, Anhui, 230032, China.
Hong GanDepartment of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, No. 81 Meishan Road, Hefei, Anhui, 230032, China.
Hui GaoDepartment of Pediatric, the First Affiliated Hospital of Anhui Medical University, No. 218 Jixi Road, Hefei, Anhui, 230022, China.
Huayan MoDepartment of Pediatric, the First Affiliated Hospital of Anhui Medical University, No. 218 Jixi Road, Hefei, Anhui, 230022, China.
Lanci XieMa'anshan Maternal and Child Healthcare (MCH) Center, Ma'anshan, Anhui, 243011, China.
Shuangqin YanMa'anshan Maternal and Child Healthcare (MCH) Center, Ma'anshan, Anhui, 243011, China.
Guopeng GaoMa'anshan Maternal and Child Healthcare (MCH) Center, Ma'anshan, Anhui, 243011, China.
Xiayan YuDepartment of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, No. 81 Meishan Road, Hefei, Anhui, 230032, China.
Wenjing QiangDepartment of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, No. 81 Meishan Road, Hefei, Anhui, 230032, China.
Yuanjie PangKey Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing, 100191, P. R. China.
Fangbiao TaoDepartment of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, No. 81 Meishan Road, Hefei, Anhui, 230032, China.
Beibei ZhuDepartment of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, No. 81 Meishan Road, Hefei, Anhui, 230032, China. 2015500009@ahmu.edu.cn.

Funding

the Key Laboratory of Epidemiology of Major Diseases(Peking University), Ministry of Education Grant NO.2025204the Key Project of Outstanding Young Talents Support Program for Colleges and Universities gxyqZD2021101the National Natural Science Foundation of China 82073564the Provincial Key R&D Programme of Anhui 202104j07020034
6 · The paper itself

Abstract

backgroundAtherogenic Index of Plasma (AIP) is a well-recognized marker for cardiovascular disease (CVD), however, its impact on adverse pregnancy outcomes (APOs) has been rarely explored, with particular uncertainty about whether the associations differ between women with and without gestational diabetes mellitus (GDM).

methodsPregnant women were recruited between 24 and 28 gestational weeks at Ma’anshan maternal and child health care center (Anhui Province, China) from June 2021 to December 2022. AIP values were calculated for 862 participants during both the second and the third trimester, using blood lipid data extracted from the electronic medical records. Selected APOs included preterm birth (PTB), low birth weight (LBW), and macrosomia. Logistic regression was performed to examine the association of AIP with selected APOs—both in full sample and stratified by GDM diagnosis status. Receiver operating characteristic (ROC) curves were used to illustrate the predictive ability of AIP values and individual lipid indicators for selected APOs.

resultsAssociations of AIP with selected APOs were observed in the non-GDM group but not in the GDM group and were more pronounced in the third pregnancy: In the second-trimester, lower AIP levels were significantly associated with an increased risk of PTB (OR = 3.234; 95%CI: 1.018 to 10.275; P=0.047); In the third trimester, lower AIP was correlated with higher risks of both PTB (OR = 4.866; 95%CI: 1.583 to 14.955; P ༝0.006) and LBW (OR = 4.939; 95%CI:1.227 to 19.883; P༝0.025). Meanwhile, elevated AIP was linked to an increased incidence of macrosomia (OR = 3.344; 95%CI: 1.457 to 7.677; P༝0.004). Similarly, predictive performance varied between GDM and non-GDM groups. In the non-GDM group, the third trimester indicators showed the highest AUC values for the respective outcomes (TG for PTB, AUC = 0.656; AIP for macrosomia, AUC = 0.652; HDL-C for LBW, AUC = 0.722). In the GDM group, HDL-C yielded the highest AUC values (AUC were 0.668, 0.705, and 0.764 for PTB, macrosomia and LBW, respectively).

conclusionAIP showed associations with selected APOs in the non-GDM group and the third-trimester AIP showed the highest AUC for macrosomia in this group; HDL-C was associated with the highest AUC values across all three selected APOs (PTB, macrosomia, and LBW) in the GDM group. CLINICAL TRIAL NUMBER: Not applicable.

Indexed as

AtherosclerosisBiomarkersDiabetes, GestationalPregnancy OutcomePregnancy TrimestersPremature BirthAdultCase-Control StudiesChinaCohort StudiesFemaleFetal MacrosomiaFollow-Up StudiesHumansInfant, Low Birth WeightInfant, NewbornBiomarkersAdverse pregnancy outcomesAtherogenic index of plasmaCohort studyPredictive performance

Identifiers

PMID41888770
PMCPMC13020227

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