ArticleScientific reports2022
Risk scores for predicting small for gestational age infants in Japan: The TMM birthree cohort study.
Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.
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Who cites it
8 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.
- First-Trimester Prediction Models Based on Maternal Characteristics for Adverse Pregnancy Outcomes: A Systematic Review and Meta-Analysis.BJOG : an international journal of obstetrics and gynaecology · 2025Pooled it
- Early detection of severe fetal growth restriction using multimodal deep learning based on ultrasound and prenatal biomarkers.Annals of medicine · 2026Article
- Cohort Profile Update: The Tohoku Medical Megabank Project Birth and Three-Generation Cohort Study (TMM BirThree Cohort Study) 2023 update.International journal of epidemiology · 2025Article
- Advanced maternal age is a risk factor for both early and late gestational diabetes mellitus: The Japan Environment and Children's Study.Journal of diabetes investigation · 2025Article
- The mediating effects of gestational diabetes mellitus and hypertensive disorders of pregnancy between maternal advanced age, previous caesarean section and the risk of small- or large-for-gestational-age newborns: a multicentric prospective cohort study in southern China.Journal of global health · 2025Article
- Prediction of low birth weight from fetal ultrasound and clinical characteristics: a comparative study between a low- and middle-income and a high-income country.BMJ global health · 2024Article
- The relationship between small for gestational age infants and maternal health: a meta-analysis.American journal of translational research · 2024Review
- Difference in risk of preterm and small-for-gestational-age birth depending on maternal occupations in Japan.BMC research notes · 2023Article
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Authors and funding
14 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This study aimed to construct a prediction model for small-for-gestational-age (SGA) infants in Japan by creating a risk score during pregnancy. A total of 17,073 subjects were included in the Tohoku Medical Megabank Project Birth and Three-Generation Cohort Study, a prospective cohort study. A multiple logistic regression model was used to construct risk scores during early and mid-gestational periods (11-17 and 18-21 weeks of gestation, respectively). The risk score during early gestation comprised the maternal age, height, body mass index (BMI) during early gestation, parity, assisted reproductive technology (ART) with frozen-thawed embryo transfer (FET), smoking status, blood pressure (BP) during early gestation, and maternal birth weight. The risk score during mid-gestation also consisted of the maternal age, height, BMI during mid-gestation, weight gain, parity, ART with FET, smoking status, BP level during mid-gestation, maternal birth weight, and estimated fetal weight during mid-gestation. The C-statistics of the risk scores during early- and mid-gestation were 0.658 (95% confidence interval [CI]: 0.642-0.675) and 0.725 (95% CI: 0.710-0.740), respectively. In conclusion, the predictive ability of the risk scores during mid-gestation for SGA infants was acceptable and better than that of the risk score during early gestation.
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