Evidence map›Paper›PMID 29473290›Full record

ArticleBJOG : an international journal of obstetrics and gynaecology2018

Estimating gestational age at birth from fundal height and additional anthropometrics: a prospective cohort study.

S J Pugh, A M Ortega-Villa, W Grobman, R B Newman, J Owen, D A Wing, P S Albert, K L Grantz

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In one paragraph

Article in BJOG : an international journal of obstetrics and gynaecology, 2018. 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.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
–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

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Article
  6. Review
  7. Identifying fetal growth disorders using ultrasound in obese nulliparous women.The journal of maternal-fetal & neonatal medicine : the official journal of the European Association of Perinatal Medicine, the Federation of Asia and Oceania Perinatal Societies, the International Society of Perinatal Obstetricians · 2021
    Article
  8. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

S J PughEpidemiology Branch, Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, MD, USA.
A M Ortega-VillaBiostatistics Branch, Division of Cancer Epidemiology and Genetics, Medical Center Drive, National Cancer Institute, Rockville, MD, USA.
W GrobmanDepartment of Obstetrics and Gynecology, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA.
R B NewmanDepartment of Obstetrics and Gynecology, Medical University of South Carolina, Charleston, SC, USA.
J OwenDepartment of Ob/Gyn, The University of Alabama at Birmingham Center for Women's Reproductive Health, Birmingham, AL, USA.
D A WingDivision of Maternal-Fetal Medicine, Department of Obstetrics-Gynecology, School of Medicine, University of California, Irvine, Orange, CA, USA.
P S AlbertBiostatistics Branch, Division of Cancer Epidemiology and Genetics, Medical Center Drive, National Cancer Institute, Rockville, MD, USA.
K L GrantzEpidemiology Branch, Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, MD, USA.

Funding

The National Standard for Normal Fetal GrowthZIAHD008852 · NICHD · EUNICE KENNEDY SHRIVER NATIONAL INSTITUTE OF CHILD HEALTH & HUMAN DEVELOPMENT · PI GRANTZ, KATHERINE · 2009 to 2025
$5.6M
Maternal-Fetal Medicine Units Network -- The Northwestern Study CenterUG1HD040512 · NICHD · NORTHWESTERN UNIVERSITY AT CHICAGO · PI Lynn M Yee · 2016 to 2026
$3.4M
Eunice Kennedy Shriver National Institute of Child Health and Human Development and included ARRA funding HHSN27500006Eunice Kennedy Shriver National Institute of Child Health and Human Development and included ARRA funding HHSN275200800003ICGrand Challenge Exploration Grant (GCE) from the Bill and Melinda Gates FoundationIntramural NIH HHS Z99 HD999999NICHD NIH HHS HHSN275200800002CNICHD NIH HHS HHSN275200800002INICHD NIH HHS HHSN275200800003CNICHD NIH HHS HHSN275200800003INICHD NIH HHS HHSN275200800012CNICHD NIH HHS HHSN275200800013CNICHD NIH HHS HHSN275200800014CNICHD NIH HHS HHSN275200800028CNICHD NIH HHS HHSN275201000009CNICHD NIH HHS UG1 HD040512
6 · The paper itself

Abstract

objectiveAccurate assessment of gestational age (GA) is critical to paediatric care, but is limited in developing countries without access to ultrasound. Our objectives were to assess the accuracy of prediction of GA at birth and preterm birth classification using routinely collected anthropometry measures.

designProspective cohort study.

settingUnited States. POPULATION OR SAMPLE: A total of 2334 non-obese and 468 obese pregnant women.

methodsEnrolment GA was determined based on last menstrual period, confirmed by first-trimester ultrasound. Maternal anthropometry and fundal height (FH) were measured by a standardised protocol at study visits; FH alone was additionally abstracted from medical charts. Neonatal anthropometry measurements were obtained at birth. To estimate GA at delivery, we developed three predictor models using longitudinal FH alone and with maternal and neonatal anthropometry. For all predictors, we repeatedly sampled observations to construct training (60%) and test (40%) sets. Linear mixed models incorporated longitudinal maternal anthropometry and a shared parameter model incorporated neonatal anthropometry. We assessed models' accuracy under varied scenarios.

main outcome measuresEstimated GA at delivery.

resultsPrediction error for various combinations of anthropometric measures ranged between 13.9 and 14.9 days. Longitudinal FH alone predicted GA within 14.9 days with relatively stable prediction errors across individual race/ethnicities [whites (13.9 days), blacks (15.1 days), Hispanics (15.5 days) and Asians (13.1 days)], and correctly identified 75% of preterm births. The model was robust to additional scenarios.

conclusionsIn low-risk, non-obese women, longitudinal FH measures alone can provide a reasonably accurate assessment of GA when ultrasound measures are not available. TWEETABLE ABSTRACT: Longitudinal fundal height alone predicts gestational age at birth when ultrasound measures are unavailable.

Indexed as

Gestational AgeAnthropometryFemaleHumansInfant, NewbornMaleOrgan SizePredictive Value of TestsPregnancyPrenatal DiagnosisProspective StudiesUnited StatesUterusAnthropometryfundal heightgestational ageprediction

Identifiers

PMID29473290
PMCPMC6107439

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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 OpenQuestion graph.