ArticlePloS one2017
Clinical, ultrasound and molecular biomarkers for early prediction of large for gestational age infants in nulliparous women: An international prospective cohort study.
Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 15 citations in OpenAlex.
- Development and validation of super learner models to predict small and large for gestational age in the second generation.Scientific reports · 2025Article
- Maternal Metabolic Health and Mother and Baby Health Outcomes (MAMBO): Protocol of a Prospective Observational Study.JMIR research protocols · 2025Article
- Pathologic maternal and neonatal outcomes associated with programmed embryo transfer: potential etiologies and strategies for prevention.Journal of assisted reproduction and genetics · 2024Review
- Preconception and early-pregnancy risk prediction for birth complications: development of prediction models within a population-based prospective cohort.BMC pregnancy and childbirth · 2022Article
- Article
- Relationships of maternal body mass index and plasma biomarkers with childhood body mass index and adiposity at 6 years: The Children of SCOPE study.Pediatric obesity · 2019Article
- Fetal Genotype and Maternal Glucose Have Independent and Additive Effects on Birth Weight.Diabetes · 2018Article
- White Matter Damage in 4,725 Term-Born Infants Is Determined by Head Circumference at Birth: The Missing Link.Obstetrics and gynecology international · 2018Article
Corrections and comments
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Authors and funding
11 authors at 6 institutions in 5 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo develop a prediction model for term infants born large for gestational age (LGA) by customised birthweight centiles.
methodsInternational prospective cohort of nulliparous women with singleton pregnancy recruited to the Screening for Pregnancy Endpoints (SCOPE) study. LGA was defined as birthweight above the 90th customised centile, including adjustment for parity, ethnicity, maternal height and weight, fetal gender and gestational age. Clinical risk factors, ultrasound parameters and biomarkers at 14-16 or 19-21 weeks were combined into a prediction model for LGA infants at term using stepwise logistic regression in a training dataset. Prediction performance was assessed in a validation dataset using area under the Receiver Operating Characteristics curve (AUC) and detection rate at fixed false positive rates.
resultsThe prevalence of LGA at term was 8.8% (n = 491/5628). Clinical and ultrasound factors selected in the prediction model for LGA infants were maternal birthweight, gestational weight gain between 14-16 and 19-21 weeks, and fetal abdominal circumference, head circumference and uterine artery Doppler resistance index at 19-21 weeks (AUC 0.67; 95%CI 0.63-0.71). Sensitivity of this model was 24% and 49% for a fixed false positive rate of 10% and 25%, respectively. The addition of biomarkers resulted in selection of random glucose, LDL-cholesterol, vascular endothelial growth factor receptor-1 (VEGFR1) and neutrophil gelatinase-associated lipocalin (NGAL), but with minimal improvement in model performance (AUC 0.69; 95%CI 0.65-0.73). Sensitivity of the full model was 26% and 50% for a fixed false positive rate of 10% and 25%, respectively.
conclusionPrediction of LGA infants at term has limited diagnostic performance before 22 weeks but may have a role in contingency screening in later pregnancy.
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