Evidence mapPaperPMID 36130780Full record

SynthesisBMJ (Clinical research ed.)2022

External validation of a prediction model for estimating fat mass in children and adolescents in 19 countries: individual participant data meta-analysis.

Mohammed T Hudda, Jonathan C K Wells, Linda S Adair, Jose R A Alvero-Cruz, Maxine N Ashby-Thompson, Martha N Ballesteros-Vásquez, Jesus Barrera-Exposito, Benjamin Caballero, Elvis A Carnero, Geoff J Cleghorn and 27 more

Open access · hybridAbstract readMeta-Analysis
In one paragraph

Synthesis in BMJ (Clinical research ed.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.0field-weighted citation impact, top 14% 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

11 citing papers in PubMed, 10 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

37 authors at 20 institutions in 13 countries.

Mohammed T HuddaPopulation Health Research Institute, St George's University of London, London, SW17 0RE, UK mhudda@sgul.ac.uk.ORCID 0000-0001-7894-1159
Jonathan C K WellsPopulation, Policy, and Practice Programme, UCL Great Ormond Street Institute of Child Health, London, UK.
Linda S AdairDepartment of Nutrition, University of North Carolina Schools of Public Health and Medicine, NC, USA.
Jose R A Alvero-CruzFaculty of Medicine, University of Malaga, Málaga, Spain.
Maxine N Ashby-ThompsonDepartment of Pediatrics, New York Nutrition Obesity Research Center, Columbia University Medical Center, New York, NY, USA.
Martha N Ballesteros-VásquezCoordinación de Nutrición, Centro de Investigación en Alimentación y Desarrollo, Hermosillo, Mexico.
Jesus Barrera-ExpositoBiodynamic and Body Composition Laboratory, Faculty of Education Sciences, University of Málaga, Málaga, Spain.
Benjamin CaballeroDepartment of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Elvis A CarneroTranslational Research Institute, Adventhealth Orlando, Orlando, FL, USA.
Geoff J CleghornChild Health Research Centre, University of Queensland, Brisbane, Australia.
Peter S W DaviesChild Health Research Centre, University of Queensland, Brisbane, Australia.
Malgorzata DesmondPopulation, Policy, and Practice Programme, UCL Great Ormond Street Institute of Child Health, London, UK.
Delan DevakumarUCL Institute for Global Health, London, UK.
Dympna GallagherDepartment of Medicine and Institute Human Nutrition, Division of Endocrinology, New York Nutrition Obesity Research Center, Columbia University Medical Center, New York, NY, USA.
Elvia V Guerrero-AlcocerCentro Universitario UAEM Amecameca, Universidad Autónoma del Estado de México, Amecameca de Juárez, Mexico.
Ferdinand HaschkeDepartment of Pediatrics, PMU Salzburg, Salzburg, Austria.
Mary HorlickBody Composition Unit, St Luke's-Roosevelt Hospital, New York, NY, USA.
Houda Ben JemaaNutrition Department, Higher School of Health Sciences and Techniques, University of Tunis El Manar, Tunis, Tunisia.
Ashraful I KhanInternational Centre for Diarrheal Disease Research, Dhaka 1212, Bangladesh.
Amani MankaiNutrition Department, Higher School of Health Sciences and Techniques, University of Tunis El Manar, Tunis, Tunisia.
Makama A MonyekiPhysical Activity, Sport, and Recreation Research Focus Area (PhASRec), Faculty of Health Sciences, North-West University, Potchefstroom, South Africa.
Hilde L NashandiSchool of Nursing and Public Health, Faculty of Health Sciences and Veterinary Medicine, University of Namibia, Windhoek, Namibia.
Luis Ortiz-HernandezDepartamento de Atención a la Salud, Universidad Autónoma Metropolitana Xochimilco, Mexico City, Mexico.
Guy PlasquiDepartment of Nutrition and Movement Sciences, NUTRIM, Maastricht University, Maastricht, Netherlands.
Felipe F ReichertPostgraduate Program in Physical Education, Federal University of Pelotas, Pelotas, Brazil.
Alma E Robles-SardinCoordinación de Nutrición, Centro de Investigación en Alimentación y Desarrollo, Hermosillo, Mexico.
Elaine RushFaculty of Health and Environmental Sciences, Auckland University of Technology, Auckland, New Zealand.
Roman J ShypailoBaylor College of Medicine, USDA/ARS Children's Nutrition Research Center, Houston, TX, USA.
Jakub G SobieckiMRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge, UK.
Gill A Ten HoorDepartment of Work and Social Psychology, Maastricht University, Maastricht, Netherlands.
Jesús ValdésDepartamento de Bioquímica, Centro de Investigación y de Estudios Avanzados del IPN, Mexico City, Mexico.
V Pujitha WickramasingheFaculty of Medicine, University of Colombo, Sri Lanka.
William W WongBaylor College of Medicine, USDA/ARS Children's Nutrition Research Center, Houston, TX, USA.
Richard D RileyCentre for Prognosis Research, School of Medicine, Keele University, Keele, UK.
Christopher G OwenPopulation Health Research Institute, St George's University of London, London, SW17 0RE, UK.
Peter H WhincupPopulation Health Research Institute, St George's University of London, London, SW17 0RE, UK.
Claire M NightingalePopulation Health Research Institute, St George's University of London, London, SW17 0RE, UK.
St George's, University of London · GBCentro de Investigación en Alimentación y Desarrollo · MXChildren's Nutrition Research Center at Baylor College of Medicine · USColumbia University Irving Medical Center · USGreat Ormond Street Hospital · GBMaastricht University · NLThe University of Queensland · AUTunis El Manar University · TNUniversidad de Málaga · ESAuckland University of Technology · NZInstituto Politécnico Nacional · MXInternational Centre for Diarrhoeal Disease Research · BDJohns Hopkins University · USKeele University · GBNorth Carolina Public Schools · USNorth-West University · ZASt. Luke's-Roosevelt Hospital Center · USTranslational Research Institute for Metabolism and Diabetes · USUniversidad Autónoma del Estado de México · MXUniversidad Autónoma Metropolitana · MX

Funding

RESEARCH TRAININGP30DK026687 · ST. LUKE'S-ROOSEVELT INST FOR HLTH SCIS · 1986 to 2025
$7.5M
Medical Research Council MC_UU_00006/3NIDDK NIH HHS P30 DK026687
6 · The paper itself

Abstract

objectiveTo evaluate the performance of a UK based prediction model for estimating fat-free mass (and indirectly fat mass) in children and adolescents in non-UK settings.

designIndividual participant data meta-analysis.

setting19 countries.

participants5693 children and adolescents (49.7% boys) aged 4 to 15 years with complete data on the predictors included in the UK based model (weight, height, age, sex, and ethnicity) and on the independently assessed outcome measure (fat-free mass determined by deuterium dilution assessment).

main outcome measuresThe outcome of the UK based prediction model was natural log transformed fat-free mass (lnFFM). Predictive performance statistics of R

resultsThe model showed good predictive ability in non-UK populations of children and adolescents, providing R

conclusionThe UK based prediction model, which is based on readily available measures, provides predictions of childhood fat-free mass, and hence fat mass, in a range of non-UK settings that explain a large proportion of the variability in observed fat-free mass, and exhibit good calibration performance, especially after recalibration of the intercept for each population. The model demonstrates good generalisability in both low-middle income and high income populations of healthy children and adolescents aged 4-15 years.

Indexed as

Data AnalysisEthnicityAdolescentCalibrationChildDeuteriumFemaleHumansIndicator Dilution TechniquesMaleDeuterium

Identifiers

PMID36130780
PMCPMC9490487
OpenAlexW4296707304

What Socratic holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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 Socratic graph.