Evidence map›Paper›PMID 30333072›Full record

ArticlePublic health nutrition2019

Weight estimation among multi-racial/ethnic infants and children aged 0-5·9 years in the USA: simple tools for a critical measure.

Yeyi Zhu, Ladia M Hernandez, Yongquan Dong, John H Himes, Laura E Caulfield, Jean M Kerver, Lenore Arab, Paula Voss, Steven Hirschfeld, Michele R Forman

Open access · bronzeAbstract readValidation Study
PubMed Full text at PMC Publisher
In one paragraph

Article in Public health nutrition, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 35% of its field
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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
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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

10 authors at 8 institutions in 1 country.

Yeyi ZhuKaiser Permanente Northern California Division of Research, 2000Broadway, Oakland, CA94612, USA.
Ladia M HernandezDepartment of Nutritional Sciences, University of Texas at Austin, Austin, TX, USA.
Yongquan DongDepartment of Nutritional Sciences, University of Texas at Austin, Austin, TX, USA.
John H HimesDivision of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN, USA.
Laura E CaulfieldCenter for Human Nutrition, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Jean M KerverDepartment of Epidemiology and Biostatistics, Michigan State University, East Lansing, MI, USA.
Lenore ArabDavid Geffen School of Medicine, University of California, Los Angeles, CA, USA.
Paula VossDepartment of Pediatrics, University of California, Irvine, CA, USA.
Steven HirschfeldEunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, MD, USA.
Michele R FormanDepartment of Nutritional Sciences, University of Texas at Austin, Austin, TX, USA.
The University of Texas at Austin · USEunice Kennedy Shriver National Institute of Child Health and Human Development · USJohns Hopkins University · USMichigan State University · USPurdue University West Lafayette · USUniversity of California, Irvine · USUniversity of California, Los Angeles · USUniversity of Minnesota · US

Funding

UCSF/Kaiser-DOR Program for Developing Independent Women's Health ResearchersK12HD052163 · NICHD · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI ADLER, NANCY E, BRINDIS, CLAIRE D. · 2005 to 2023
$9.3M
NICHD NIH HHS HHSN275200800020CNICHD NIH HHS K12 HD052163
6 · The paper itself

Abstract

objectiveIn resource-constrained facilities or during resuscitation, immediate paediatric weight estimation remains a fundamental challenge. We aimed to develop and validate weight estimation models based on ulna length and forearm width and circumference measured by simple and portable tools; and to compare them against previous methods (advanced paediatric life support (APLS), Theron and Traub-Johnson formulas).

designCross-sectional analysis of anthropometric measurements. Four ulna- and forearm-based weight estimation models were developed in the training set (n 1016). Assessment of bias, precision and accuracy was examined in the validation set (n 457).

settingNational Children's Study-Formative Research in Anthropometry (2011-2012). SUBJECTS: Multi-racial/ethnic infants and children aged <6 years (n 1473).

resultsDeveloped Models 1-4 had high predictive precision (R 2=0·91-0·97). Mean percentage errors between predicted and measured weight were significantly smaller across the developed models (0·1-0·7 %) v. the APLS, Theron and Traub-Johnson formulas (-1·7, 9·2 and -4·9 %, respectively). Root-mean-squared percentage error was overall smaller among Models 1-4 v. the three existing methods (range=7·5-8·7 v. 9·8-13·3 %). Further, Models 1-4 were within 10 and 20 % of actual weight in 72-87 and 95-99 % of the weight estimations, respectively, which outperformed any of the three existing methods.

conclusionsUlna length, forearm width and forearm circumference by simple and portable tools could serve as valid and reliable surrogate measures of weight among infants and children aged <6 years with improved precision over the existing age- or length-based methods. Further validation of these models in physically impaired or non-ambulatory children is warranted.

Indexed as

AnthropometryBody HeightBody WeightChild, PreschoolCross-Sectional StudiesEthnicityFemaleForearmHumansInfantInfant, NewbornMaleRacial GroupsReproducibility of ResultsStatistics as TopicUlnaAnthropometric measureEstimationForearmPaediatric weightUlna

Identifiers

PMID30333072
PMCPMC6312489
OpenAlexW2896436433

What OpenQuestion holds

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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.