Evidence map›Paper›PMID 40211115›Full record

ArticleBMC pregnancy and childbirth2025

The value of fetal growth trajectory during pregnancy in predicting small for gestational age neonates at term.

Huimin Zhu, Min Wei, Xiuxiu Li, Xuemei Liu, Jin Li, Xuemei Fan, Zhen Wang, Weiqing Chen

Abstract read
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Article in BMC pregnancy and childbirth, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Huimin ZhuDepartment of Epidemiology, School of Public Health, Sun Yat-Sen University, Guangzhou, China.
Min WeiDepartment of Science and Education, Shenzhen Birth Cohort Study Center, Nanshan Maternity and Child Healthcare Hospital of Shenzhen, Shenzhen, China.
Xiuxiu LiDepartment of Science and Education, Shenzhen Birth Cohort Study Center, Nanshan Maternity and Child Healthcare Hospital of Shenzhen, Shenzhen, China.
Xuemei LiuDepartment of Science and Education, Shenzhen Birth Cohort Study Center, Nanshan Maternity and Child Healthcare Hospital of Shenzhen, Shenzhen, China.
Jin LiDepartment of Ultrasound, Nanshan Maternity and Child Healthcare Hospital of Shenzhen, Shenzhen, China.
Xuemei FanDepartment of Ultrasound, Nanshan Maternity and Child Healthcare Hospital of Shenzhen, Shenzhen, China.
Zhen WangDepartment of Science and Education, Shenzhen Birth Cohort Study Center, Nanshan Maternity and Child Healthcare Hospital of Shenzhen, Shenzhen, China. nsfywangzhen@163.com.
Weiqing ChenDepartment of Epidemiology, School of Public Health, Sun Yat-Sen University, Guangzhou, China. chenwq@mail.sysu.edu.cn.

Funding

National Natural Science Foundation of China 82173605Sanming Project of Medicine in Shenzhen Nanshan No.202408
6 · The paper itself

Abstract

backgroundThe predictive value of trajectory identified by group-based trajectory modeling (GBTM) has been discussed but its value in predicting small for gestational age (SGA) neonates is still unclear. This study aims to describe the trajectory of fetal growth of estimated fetal weight (EFW) during pregnancy and compare its performance to growth velocity of EFW and EFW z-scores at each scan in predicting SGA neonates at term.

methodsThe growth trajectory for EFW obtained from ultrasound scan at around 23-24, 31-32, 37-39 weeks of gestation of 1699 women from Shenzhen Birth Cohort Study was identified using GBTM. The area under receiver operating characteristics curve (AUC), Brier scores and Decision curve analysis (DCA) was used to evaluate the discrimination, calibration performance and clinical usefulness of EFW growth trajectory, EFW growth velocity between each stage and EFW z-scores at each scan.

resultsFour trajectory groups of EFW which described as "very low-stable", "low-stable", "average-stable", "rising-falling" were identified. The growth trajectory performed better in discrimination and calibration than growth velocity, with AUC of 0.76 (95%CI: 0.73-0.80) and Brier score of 0.067 in predicting SGA neonates at term. When compared to the EFW z-scores, growth trajectory performed better than EFW z-scores of 23-24 weeks (AUC = 0.72, 95%CI: 0.68-0.76, Brier score = 0.073), but not as well as EFW z-scores of 37-39 weeks of gestation (AUC = 0.88, 95%CI: 0.86-0.91, Brier score = 0.060).

conclusionsEFW z-scores of 37-39 weeks of gestation outperformed in predicting SGA neonates at term than growth trajectory and velocity. Growth trajectory has better potential for serial ultrasound examinations to describe the process of fetal growth and to predict SGA neonates at term than fetal growth velocity.

Indexed as

Fetal DevelopmentFetal Growth RetardationFetal WeightInfant, Small for Gestational AgeUltrasonography, PrenatalAdultFemaleGestational AgeHumansInfant, NewbornPredictive Value of TestsPregnancyROC CurveFetal growth trajectoryGroup-based trajectory modelingPredictionSmall for gestational age neonates

Identifiers

PMID40211115
PMCPMC11987421

What Socratic holds

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LicenceCC BY-NC-ND
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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 Socratic graph.