Evidence map›Paper›PMID 28445454›Full record

ArticlePediatric research2017

Body composition at birth and its relationship with neonatal anthropometric ratios: the newborn body composition study of the INTERGROWTH-21

José Villar, Fabien A Puglia, Tanis R Fenton, Leila Cheikh Ismail, Eleonora Staines-Urias, Francesca Giuliani, Eric O Ohuma, Cesar G Victora, Peter Sullivan, Fernando C Barros and 12 more

Open access · hybridAbstract read
In one paragraph

Article in Pediatric research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
57citing papers in PubMed, 4 pooled it
5.8field-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

57 citing papers in PubMed, 4 syntheses or guidelines pooled it, 118 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Predictive models of newborn body composition: a systematic review.Revista paulista de pediatria : orgao oficial da Sociedade de Pediatria de Sao Paulo · 2023
    Pooled it
  4. Pooled it
  5. Trial
  6. Trial
  7. Bedside ultrasound imaging to measure muscle cross-sectional area in preterm and term infants: a feasibility study.Journal of perinatology : official journal of the California Perinatal Association · 2026
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Observational
  14. Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

22 authors at 12 institutions in 10 countries.

José VillarNuffield Department of Obstetrics and Gynaecology and Oxford Maternal and Perinatal Health Institute, Green Templeton College, University of Oxford, Oxford, UK.
Fabien A PugliaNuffield Department of Obstetrics and Gynaecology and Oxford Maternal and Perinatal Health Institute, Green Templeton College, University of Oxford, Oxford, UK.
Tanis R FentonDepartment of Community Health Sciences, Alberta Children's Hospital Research Institute, University of Calgary, Calgary, Alberta, Canada.
Leila Cheikh IsmailNuffield Department of Obstetrics and Gynaecology and Oxford Maternal and Perinatal Health Institute, Green Templeton College, University of Oxford, Oxford, UK.
Eleonora Staines-UriasNuffield Department of Obstetrics and Gynaecology and Oxford Maternal and Perinatal Health Institute, Green Templeton College, University of Oxford, Oxford, UK.
Francesca GiulianiDipartimento di Scienze Pediatriche e dell'Adolescenza, Cattedra di Neonatologia, Università degli Studi di Torino, Torino, Italy.
Eric O OhumaNuffield Department of Obstetrics and Gynaecology and Oxford Maternal and Perinatal Health Institute, Green Templeton College, University of Oxford, Oxford, UK.
Cesar G VictoraPrograma de Pós-Graduação em Epidemiologia, Universidade Federal de Pelotas, Pelotas, Brazil.
Peter SullivanDepartment of Paediatrics, University of Oxford, Oxford, UK.
Fernando C BarrosPrograma de Pós-Graduação em Saúde e Comportamento, Universidade Católica de Pelotas, Pelotas, Brazil.
Ann LambertNuffield Department of Obstetrics and Gynaecology and Oxford Maternal and Perinatal Health Institute, Green Templeton College, University of Oxford, Oxford, UK.
Aris T PapageorghiouNuffield Department of Obstetrics and Gynaecology and Oxford Maternal and Perinatal Health Institute, Green Templeton College, University of Oxford, Oxford, UK.
Roseline OchiengFaculty of Health Sciences, Aga Khan University, Nairobi, Kenya.
Yasmin A JafferDepartment of Family and Community Health, Ministry of Health, Muscat, Sultanate of Oman.
Douglas G AltmanCentre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, UK.
Alison J NobleDepartment of Engineering Science, University of Oxford, Oxford, UK.
Michael G GravettGlobal Alliance to Prevent Prematurity and Stillbirth, Seattle, Washington.
Manorama PurwarNagpur INTERGROWTH-21 Research Centre, Ketkar Hospital, Nagpur, India.
Ruyan PangSchool of Public Health, Peking University, Beijing, China.
Ricardo UauyDivision of Paediatrics, School of Medicine, Pontifical Universidad Católica de Chile, Santiago, Chile.
Stephen H KennedyNuffield Department of Obstetrics and Gynaecology and Oxford Maternal and Perinatal Health Institute, Green Templeton College, University of Oxford, Oxford, UK.
Zulfiqar A BhuttaCenter of Excellence in Women and Child Health, The Aga Khan University, Karachi, Pakistan.
University of Oxford · GBAga Khan University · PKAga Khan University Nairobi · KEGlobal Alliance to Prevent Prematurity and Stillbirth · USMinistry of Agriculture and Fisheries · OMNuffield Orthopaedic Centre · GBPeking University · CNPontificia Universidad Católica de Chile · CLUniversidade Católica de Pelotas · BRUniversidade Federal de Pelotas · BRUniversity of Calgary · CAUniversity of Turin · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BackgroundWe aimed to describe newborn body composition and identify which anthropometric ratio (weight/length; BMI; or ponderal index, PI) best predicts fat mass (FM) and fat-free mass (FFM).MethodsAir-displacement plethysmography (PEA POD) was used to estimate FM, FFM, and body fat percentage (BF%). Associations between FFM, FM, and BF% and weight/length, BMI, and PI were evaluated in 1,019 newborns using multivariate regression analysis. Charts for FM, FFM, and BF% were generated using a prescriptive subsample (n=247). Standards for the best-predicting anthropometric ratio were calculated utilizing the same population used for the INTERGROWTH-21

Indexed as

AnthropometryBody CompositionAdultFemaleGrowthHumansInfant, NewbornMalePregnancy

Identifiers

PMID28445454
PMCPMC5605677
OpenAlexW2608301965

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.