Evidence map›Paper›PMID 39619052›Full record

ArticleObesity science & practice2024

Beyond Body Mass Index: Accurate Metabolic Disease-Risk Phenotyping With 3D Smartphone Application.

Cassidy McCarthy, Grant M Tinsley, Sophia Ramirez, Steven B Heymsfield

Abstract read
In one paragraph

Article in Obesity science & practice, 2024. 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
–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

2 citing papers in PubMed.

  1. Article
  2. Article
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.

Cassidy McCarthyPennington Biomedical Research Center Louisiana State University System Baton Rouge Louisiana USA.
Grant M TinsleyDepartment of Kinesiology and Sport Management Texas Tech University Lubbock Texas USA.
Sophia RamirezPennington Biomedical Research Center Louisiana State University System Baton Rouge Louisiana USA.
Steven B HeymsfieldPennington Biomedical Research Center Louisiana State University System Baton Rouge Louisiana USA.ORCID https://orcid.org/0000-0003-1127-9425

Funding

Research BaseP30DK072476 · NIDDK · LSU PENNINGTON BIOMEDICAL RESEARCH CTR · PI ROBERT A KESTERSON · 2005 to 2026
$26.5M
NIDDK NIH HHS P30 DK072476
6 · The paper itself

Abstract

Objective: Smartphone applications (apps) with optical imaging capabilities are transforming the field of physical anthropometry; digital measurements of body size and shape in clinical settings are increasingly feasible. Currently available apps are usually designed around the capture of two-dimensional images that are then transformed with app software to three-dimensional (3D) avatars that can be used for digital anthropometry. The aim of the current study was to compare waist circumference (WC), hip circumference (HC), four other circumferences (right/left upper arm, thigh) and WC/HC evaluated with a novel high-precision 3D smartphone app to ground-truth measurements made with a flexible tape by a trained anthropometrist. Methods: Forty-four participants aged 20-78 years and body mass index 18.5-48.5 kg/m Results: 3D-digital and ground-truth tape WC, HC, and WC/HC estimates were highly correlated ( Conclusions: Digital anthropometry, with accessible technology such as the evaluated novel 3D app, has reached a sufficiently developed stage to go beyond body mass index for phenotyping patient's metabolic disease risks.

Indexed as

anthropometrybody compositionnutritional assessmentobesity

Identifiers

PMID39619052
PMCPMC11606355

What OpenQuestion holds

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LicenceCC BY
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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.