Evidence map›Paper›PMID 40087732›Full record

ArticleBMC medicine2025

The interdependence of mid-trimester blood pressure and glucose levels in shaping fetal growth and neonatal outcomes: implications for risk-benefit assessment and co-management.

Lijuan Lv, Jingbo Yang, Linjie Li, Chuanyi Huang, Huihua Shi, Yiwen Fang, Lushu Zuo, Ting Liu, Hongli Duan, Jiying Wen and 5 more

Abstract read
In one paragraph

Article in BMC medicine, 2025. 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

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

1 citing paper in PubMed.

  1. Morning Blood Pressure and Adverse Pregnancy Outcomes in High-Risk Pregnancies.Hypertension research : official journal of the Japanese Society of Hypertension · 2026
    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

15 authors.

Lijuan Lv *Medical Genetic Center, Department of Obstetrics, Guangdong Women and Children Hospital, Xinnan Avenue, Panyu District, Guangzhou, 511442, China.
Jingbo Yang *Department of Cardiology, Tianjin Medical University General Hospital, 154, Anshan Road, Heping District, Tianjin, 300052, China.
Linjie LiDepartment of Cardiology, Tianjin Medical University General Hospital, 154, Anshan Road, Heping District, Tianjin, 300052, China.
Chuanyi HuangDepartment of Cardiology, Tianjin Medical University General Hospital, 154, Anshan Road, Heping District, Tianjin, 300052, China.
Huihua ShiDepartment of Cardiology, Tianjin Medical University General Hospital, 154, Anshan Road, Heping District, Tianjin, 300052, China.
Yiwen FangDepartment of Cardiology, Tianjin Medical University General Hospital, 154, Anshan Road, Heping District, Tianjin, 300052, China.
Lushu ZuoDepartment of Cardiology, Tianjin Medical University General Hospital, 154, Anshan Road, Heping District, Tianjin, 300052, China.
Ting LiuDepartment of Cardiology, Tianjin Medical University General Hospital, 154, Anshan Road, Heping District, Tianjin, 300052, China.
Hongli DuanMedical Genetic Center, Department of Obstetrics, Guangdong Women and Children Hospital, Xinnan Avenue, Panyu District, Guangzhou, 511442, China.
Jiying WenMedical Genetic Center, Department of Obstetrics, Guangdong Women and Children Hospital, Xinnan Avenue, Panyu District, Guangzhou, 511442, China.
Qing YangDepartment of Cardiology, Tianjin Medical University General Hospital, 154, Anshan Road, Heping District, Tianjin, 300052, China.
Amanda HenryDiscipline of Women'S Health, School of Clinical Medicine, UNSW Medicine and Health, University of New South Wales, Sydney, Australia.
Cha HanDepartment of Gynecology and Obstetrics, Tianjin Medical University General Hospital, 154, Anshan Road, Heping District, Tianjin, 300052, China. tjhancha@tmu.edu.cn.
Aihua YinMedical Genetic Center, Department of Obstetrics, Guangdong Women and Children Hospital, Xinnan Avenue, Panyu District, Guangzhou, 511442, China. yinaiwa@vip.126.com.
Xin ZhouDepartment of Cardiology, Tianjin Medical University General Hospital, 154, Anshan Road, Heping District, Tianjin, 300052, China. xinzhou@tmu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMaternal hypertension and hyperglycemia are closely related but have distinct impacts on fetal growth and are managed independently. How the interdependence of blood pressure (BP) and glucose levels quantitatively influences risk patterns for abnormal fetal growth and neonatal complications remains unexplored.

methodsMaternal BP and fasting plasma glucose (FPG) levels were measured between 20 and 28 weeks of gestation in a cohort including 56,881 singleton pregnancies. Linear and quantile regression analyses were used to evaluate the relationship between BP and FPG. We examined the dose-response relationships between BP and FPG with small-for-gestational age (SGA) and large-for-gestational age (LGA) by using restricted cubic spline (RCS) curves. Additionally, multivariable fractional polynomial interaction (MFPI) analysis was conducted to assess the effects of higher versus lower BP levels across the full range of FPG levels. Heatmaps were created to visualize the contributions of BP and FPG by categorizing them into ordered groups.

resultsQuantile regression revealed consistent positive correlations between mean arterial pressure (MAP) and FPG, with a steeper increase in MAP coefficients above the 0.5 quantile of FPG. MAP had a non-linear positive association with SGA risk, while FPG showed a non-linear negative association. Heatmaps revealed the highest SGA risk with high BP (MAP ≥ 85 mmHg)/low glucose (< 85 mg/dL) combinations and the lowest risk with low BP (MAP < 85 mmHg)/high glucose (≥ 85 mg/dL), with equivalent risk at both high BP/high glucose and low BP/low glucose. In hypertensive patients, SGA risk worsened continuously as glucose levels decreased. LGA risk was not influenced by BP levels. Neonatal complications decreased by approximately 47% as MAP declined from the highest to lowest category, and by about 17% with decreasing glucose levels.

conclusionsBased on a large pregnancy cohort in China, this study revealed an interdependent association between maternal BP and glucose levels and their combined impact on the risk of SGA. It provided quantitative evidence of how this interdependence shapes the transition of risk patterns for SGA, neonatal complications, and LGA. These findings underscore the need for an integrated approach to co-managing BP and glucose levels during pregnancy.

Indexed as

Blood GlucoseBlood PressureFetal DevelopmentPregnancy Trimester, SecondAdultFemaleHumansInfant, NewbornInfant, Small for Gestational AgePregnancyRisk AssessmentBlood GlucoseBlood pressureFasting plasma glucoseGestational diabetesHypertensive disorders in pregnancyLarge-for-gestational-age infantsNeonatal complicationsSmall-for-gestational age infants

Identifiers

PMID40087732
PMCPMC11909891

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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.