Evidence map›Paper›PMID 38172325›Full record

Trial reportScientific reports2024

Validation of remote anthropometric measurements in a rural randomized pediatric clinical trial in primary care settings.

E Zhang, Ann M Davis, Elizabeth Yakes Jimenez, Brittany Lancaster, Monica Serrano-Gonzalez, Di Chang, Jeannette Lee, Jin-Shei Lai, Lee Pyles, Timothy VanWagoner and 1 more

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

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

  1. Pooled it
  2. Trial
  3. Trial
  4. Article
  5. Article
  6. 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

11 authors.

E ZhangDepartment of Occupational Therapy Education, University of Kansas Medical Center, 3901 Rainbow Blvd, Kansas City, KS, 66160, USA. ezhang@kumc.edu.
Ann M DavisDepartment of Pediatrics, University of Kansas Medical Center, Kansas City, KS, USA.
Elizabeth Yakes JimenezCollege of Population Health and Departments of Pediatrics and Internal Medicine, University of New Mexico Health Sciences Center, Albuquerque, NM, USA.
Brittany LancasterDepartment of Pediatrics, University of Kansas Medical Center, Kansas City, KS, USA.
Monica Serrano-GonzalezDepartment of Pediatrics, Warren Alpert Medical School of Brown University, Providence, RI, USA.
Di ChangDepartment of Biostatistics, University of Arkansas for Medical Sciences, Little Rock, AR, USA.
Jeannette LeeDepartment of Biostatistics, University of Arkansas for Medical Sciences, Little Rock, AR, USA.
Jin-Shei LaiDepartment of Medical Social Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
Lee PylesDepartment of Pediatrics, West Virginia University, Morgantown, WV, USA.
Timothy VanWagonerDepartment of Pediatrics, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA.
Paul DardenDepartment of Pediatrics, University of Arkansas for Medical Sciences, Little Rock, AR, USA.

Funding

Data Coordinating and Operations Center for the ECHO IDeA States Pediatric Clinical Trials NetworkU24OD024957 · OD · UNIV OF ARKANSAS FOR MED SCIS · PI COURTNEY, SHERRY, OUNPRASEUTH, SONGTHIP T. · 2016 to 2024
$80.8M
Sunflower Pediatric Clinical Trials (SPeCTr 3.0)UG1OD024943 · OD · UNIVERSITY OF KANSAS MEDICAL CENTER · PI Ann M Davis, BRIDGETTE L. JONES · 2016 to 2026
$4.7M
NIH HHS 3UG1OD024943-05S1NIH HHS U24 OD024957NIH HHS U24OD024957NIH HHS UG1 OD024943
6 · The paper itself

Abstract

Rural children are more at risk for childhood obesity but may have difficulty participating in pediatric weight management clinical trials if in-person visits are required. Remote assessment of height and weight observed via videoconferencing may provide a solution by improving the accuracy of self-reported data. This study aims to validate a low-cost, scalable video-assisted protocol for remote height and weight measurements in children and caregivers. Families were provided with low-cost digital scales and tape measures and a standardized protocol for remote measurements. Thirty-three caregiver and child (6-11 years old) dyads completed remote (at home) height and weight measurements while being observed by research staff via videoconferencing, as well as in-person measurements with research staff. We compared the overall and absolute mean differences in child and caregiver weight, height, body mass index (BMI), and child BMI adjusted Z-score (BMIaz) between remote and in-person measurements using paired samples t-tests and one sample t-tests, respectively. Bland-Altman plots were used to estimate the limits of agreement (LOA) and assess systematic bias. Simple regression models were used to examine associations between measurement discrepancies and sociodemographic factors and number of days between measurements. Overall mean differences in child and caregiver weight, height, BMI, and child BMIaz were not significantly different between remote and in-person measurements. LOAs were - 2.1 and 1.7 kg for child weight, - 5.2 and 4.0 cm for child height, - 1.5 and 1.7 kg/m

Indexed as

Pediatric ObesityBody HeightBody Mass IndexBody WeightChildHumansPrimary Health CareRural Population

Identifiers

PMID38172325
PMCPMC10764753

What OpenQuestion holds

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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.