Evidence map›Paper›PMID 41622733›Full record

ArticleJournal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine2026

Evaluating the Need for Multiple Ultrasound Measurements for Accurate Prediction of Birthweight Using Estimated Fetal Weight.

Madeleine E St Ville, Katherine L Grantz, Jessica L Gleason, Zhen Chen

Abstract read
In one paragraph

Article in Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine, 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
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

4 authors.

Madeleine E St VilleBiostatistics and Bioinformatics Branch, Division of Population Health Research, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, Maryland, USA.ORCID https://orcid.org/0000-0002-9863-9720
Katherine L GrantzEpidemiology Branch, Division of Population Health Research, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes Health, Bethesda, Maryland, USA.ORCID https://orcid.org/0000-0003-0276-8534
Jessica L GleasonEpidemiology Branch, Division of Population Health Research, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes Health, Bethesda, Maryland, USA.
Zhen ChenBiostatistics and Bioinformatics Branch, Division of Population Health Research, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, Maryland, USA.ORCID https://orcid.org/0000-0002-9946-1362

Funding

Statistical methodology development for reproductive and perinatal epidemiologyZIAHD009013 · NICHD · EUNICE KENNEDY SHRIVER NATIONAL INSTITUTE OF CHILD HEALTH & HUMAN DEVELOPMENT · PI CHEN, ZHEN · 2022 to 2025
$2.9M
General collaborationsZIAHD009014 · NICHD · EUNICE KENNEDY SHRIVER NATIONAL INSTITUTE OF CHILD HEALTH & HUMAN DEVELOPMENT · PI CHEN, ZHEN · 2022 to 2025
$312k
Intramural NIH HHS ZIA HD009013Intramural NIH HHS ZIA HD009014NICHD NIH HHS HHSN275200800002CNICHD NIH HHS HHSN275200800002INICHD NIH HHS HHSN275200800003CNICHD NIH HHS HHSN275200800003INICHD NIH HHS HHSN275200800012CNICHD NIH HHS HHSN275200800013CNICHD NIH HHS HHSN275200800028CNICHD NIH HHS HHSN275201000009CNIH HHS HHSN27500006NIH HHS HHSN275200800002INIH HHS HHSN275200800003ICNIH HHS HHSN275200800012CNIH HHS HHSN275200800013CNIH HHS HHSN275200800014CNIH HHS HHSN275200800028CNIH HHS HHSN275201000009C
6 · The paper itself

Abstract

objectivesTo evaluate whether averaging replicate fetal biometry measurements during an examination improves estimated fetal weight (EFW) accuracy for predicting birthweight compared with a single set and to assess how variability in fetal biometric measurements changes across gestation.

methodsSecondary analysis of the Eunice Kennedy Shriver National Institute of Child and Health and Human Development (NICHD) Fetal Growth Studies-Singletons. At each study visit, fetal head circumference (HC), abdominal circumference (AC), and femur length (FL) were measured in triplicate to compute EFW at each of 6 study visits (0-5). Variability among replicates was assessed across gestation using boxplots and two-way repeated measures ANOVA. For participants with visit 5 EFW (n = 1101), predictive accuracy of each individual measurement and their averages was compared with birthweight using average percent error and proportion within 10% of birthweight. One-way ANOVA and chi-square tests were applied. Sensitivity analyses included second-to-last visit, subgroups classified as small- or large-for-gestational age, and a subgroup of participants who delivered within 3 days of visit 5.

resultsAcross visits, replicate HC, AC, and FL showed minimal variability, with no significant differences among replicates or across gestation. At visit 5, average EFW and standard deviations were similar across individual and averaged measurements. Percent errors ranged from 8.2 to 8.5% (p = .999), and proportion within 10% of birthweight ranged from 64.4 to 66.4% (p = .954). Sensitivity analyses produced similarly null findings.

conclusionsIn a controlled research setting with credentialed sonographers and standardized protocols, averaging replicate fetal biometric measurements did not improve EFW prediction of birthweight. A single high-quality measurement of fetal biometry may be sufficient, although further research is warranted to confirm generalizability to routine clinical practice.

Indexed as

Birth WeightFetal WeightUltrasonography, PrenatalBiometryFemaleHumansInfant, NewbornPredictive Value of TestsPregnancyReproducibility of ResultsSensitivity and Specificitybirthweight predictionestimated fetal weight (EFW)measurement errorreplicate measurementsultrasound biometry

Identifiers

PMID41622733
PMCPMC13128283

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Registered trials

None linked

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.