Construction of SGA prediction model based on multi-dimensional indicators in the second trimester of pregnancy: integrating parturient characteristics, serum markers and ultrasound parameters.

Shuying You, Shaohui Chen, Jing Gu, Shaolin Peng, Wenji Liu

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Article in Frontiers in pediatrics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 authors.

Shuying You *Department of Obstetrics, The Sixth Affiliated Hospital of Jinan University, Dongguan, Guangdong, China.

Shaohui Chen *Department of Obstetrics, The Sixth Affiliated Hospital of Jinan University, Dongguan, Guangdong, China.

Jing GuDepartment of Obstetrics, The Sixth Affiliated Hospital of Jinan University, Dongguan, Guangdong, China.

Shaolin PengDepartment of Ultrasound, The Sixth Affiliated Hospital of Jinan University, Dongguan, Guangdong, China.

Wenji LiuDepartment of Obstetrics, The Sixth Affiliated Hospital of Jinan University, Dongguan, Guangdong, China.

Funding

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6 · The paper itself

Abstract

Objective: To develop and validate a prediction model integrating first-trimester maternal characteristics, serum markers, and second-trimester fetal ultrasound parameters for small-for-gestational-age (SGA) infants. Methods: This retrospective study analyzed 546 pregnant women (training set: Results: The incidence of SGA was 18.85% (72/382) in the training set and 19.51% (32/164) in the validation set. Multivariate logistic regression showed that maternal age, levels of PAPP-A and Conclusion: The nomogram prediction model constructed with these combined indicators is helpful for evaluating the risk of SGA. However, further verification through large-sample and multi-center studies is still needed to provide a reference for early clinical intervention.

Indexed as

first-trimester indicatorsmaternal baseline characteristicsprediction modelsecond-trimester fetal ultrasound indicatorssmall for gestational age

Identifiers

PMID41098503

DOI10.3389/fped.2025.1655615

PMCPMC12518076

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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.