Evidence map›Paper›PMID 30356325›Full record

ArticlePloS one2018

Accuracy and reliability of a low-cost, handheld 3D imaging system for child anthropometry.

Joel Conkle, Parminder S Suchdev, Eugene Alexander, Rafael Flores-Ayala, Usha Ramakrishnan, Reynaldo Martorell

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
5.6field-weighted citation impact, top 3% 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

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 57 citations in OpenAlex.

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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

6 authors at 3 institutions in 1 country.

Joel ConkleNutrition and Health Sciences Program, Laney Graduate School, Emory University, Atlanta, GA, United States of America.ORCID 0000-0003-2603-5052
Parminder S SuchdevNutrition and Health Sciences Program, Laney Graduate School, Emory University, Atlanta, GA, United States of America.
Eugene AlexanderBody Surface Translations, Inc. (BST), Athens, GA, United States of America.
Rafael Flores-AyalaNutrition and Health Sciences Program, Laney Graduate School, Emory University, Atlanta, GA, United States of America.
Usha RamakrishnanNutrition and Health Sciences Program, Laney Graduate School, Emory University, Atlanta, GA, United States of America.
Reynaldo MartorellNutrition and Health Sciences Program, Laney Graduate School, Emory University, Atlanta, GA, United States of America.
Emory University · USCenters for Disease Control and Prevention · USBody Surface Translations (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The usefulness of anthropometry to define childhood malnutrition is undermined by poor measurement quality, which led to calls for new measurement approaches. We evaluated the ability of a 3D imaging system to correctly measure child stature (length or height), head circumference and arm circumference. In 2016-7 we recruited and measured children at 20 facilities in and around metro Atlanta, Georgia, USA; including at daycare, higher education, religious, and medical facilities. We selected recruitment sites to reflect a generally representative population of Atlanta and to oversample newborns and children under two years of age. Using convenience sampling, a total of 474 children 0-5 years of age who were apparently healthy and who were present at the time of data collection were included in the analysis. Two anthropometrists each took repeated manual measures and repeated 3D scans of each child. We evaluated the reliability and accuracy of 3D scan-derived measurements against manual measurements. The mean child age was 26 months, and 48% of children were female. Based on reported race and ethnicity, the sample was 42% Black, 28% White, 8% Asian, 21% multiple races, other or race not reported; and 16% Hispanic. Measurement reliability of repeated 3D scans was within 1 mm of manual measurement reliability for stature, head circumference and arm circumference. We found systematic bias when analyzing accuracy-on average 3D imaging overestimated stature and head circumference by 6 mm and 3 mm respectively, and underestimated arm circumference by 2 mm. The 3D imaging system used in this study is reliable, low-cost, portable, and can handle movement; making it ideal for use in routine nutritional assessment. However, additional research, particularly on accuracy, and further development of the scanning and processing software is needed before making policy and clinical practice recommendations on the routine use of 3D imaging for child anthropometry.

Indexed as

AnthropometryAsian PeopleBody HeightBody WeightCephalometryChild DevelopmentChild Nutrition DisordersChild, PreschoolEthnicityFemaleGeorgiaHumansImaging, Three-DimensionalInfantInfant, NewbornMale

Identifiers

PMID30356325
PMCPMC6200231
OpenAlexW2898383881

What OpenQuestion holds

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LicenceCC0
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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.