Evidence map›Paper›PMID 41545683›Full record

ArticleScientific reports2026

The associations of maternal liver biomarkers in different trimesters with birth weight outcomes.

Libi Zhang, Yiwen Qiu, Diliyaer Ainiwan, Ye Huang, Haibo Zhou, Haoyue Cheng, Xialidan Alifu, Yan Zhuang, Peihan Chi, Danqing Chen and 2 more

Abstract read
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In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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0citing 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

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

12 authors.

Libi ZhangDepartment of Public Health, Department of Anesthesiology, Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China.
Yiwen QiuDepartment of Public Health, Department of Anesthesiology, Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China.
Diliyaer AiniwanDepartment of Public Health, Department of Anesthesiology, Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China.
Ye HuangDepartment of Public Health, Department of Anesthesiology, Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China.
Haibo ZhouDepartment of Public Health, Department of Anesthesiology, Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China.
Haoyue ChengDepartment of Public Health, Department of Anesthesiology, Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China.
Xialidan AlifuDepartment of Public Health, Department of Anesthesiology, Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China.
Yan ZhuangDepartment of Public Health, Department of Anesthesiology, Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China.
Peihan ChiDepartment of Public Health, Department of Anesthesiology, Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China.
Danqing ChenDepartment obstetrics, Women's Hospital, School of Medicine, Zhejiang University, Hangzhou, China.
Hui LiuClinical Research Center, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang Province, China. lhui2010@zju.edu.cn.
Yunxian YuDepartment of Public Health, Department of Anesthesiology, Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China. yunxianyu@zju.edu.cn.

Funding

the National Key Research and Development Program of China 2021YFC2701901 and 2022YFC2703505
6 · The paper itself

Abstract

We aimed to examine the association of maternal liver biomarkers in different trimesters and their changes with outcomes of neonatal birth weight. This prospective pregnant cohort study included pregnant women with the first prenatal follow-up record, the birth registration record and at least one record of liver function tests during pregnancy at Zhoushan Maternal and Child Care Hospital. Liver enzymes were routinely measured at the first (T1), second (T2) and third trimester (T3). Our study included 12,728 mother-infant pairs, of which 1,003 (7.89%) developed low birth weight (LBW)/small for gestational age (SGA) and 1,047 (8.23%) developed macrosomia/large for gestational age (LGA), respectively. The highest quartile of maternal ALT, AST, and GGT at T2, as well as the change of GGT during pregnancy were significantly associated with a higher risk of LBW/SGA. In addition, pregnant women with higher levels of ALP and AST/ALT at T3 had an increased risk of delivering infants with macrosomia/LGA, and higher early pregnancy levels and greater increases in AST/ALT were also related to an increased risk of macrosomia/LGA. Elevated levels of liver biomarkers are associated with adverse birth weight outcomes.

Indexed as

BiomarkersBirth WeightLiverPregnancy TrimestersAdultAlanine TransaminaseAspartate AminotransferasesFemaleFetal Macrosomiagamma-GlutamyltransferaseHumansInfant, Large for Gestational AgeInfant, Low Birth WeightInfant, NewbornInfant, Small for Gestational AgeLiver Function TestsAlanine TransaminaseAspartate AminotransferasesBiomarkersgamma-GlutamyltransferaseBirth weightLarge for gestational ageLiver biomarkersLow birth weightMacrosomiaSmall for gestational age

Identifiers

PMID41545683
PMCPMC12890997

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LicenceCC BY-NC-ND
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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.