Evidence map›Paper›PMID 35058276›Full record

Observational studyArchives of disease in childhood. Fetal and neonatal edition2022

Associations of body composition with regional brain volumes and white matter microstructure in very preterm infants.

Katherine Ann Bell, Lillian G Matthews, Sara Cherkerzian, Anna K Prohl, Simon K Warfield, Terrie E Inder, Shun Onishi, Mandy B Belfort

Open access · greenAbstract readObservational Study
In one paragraph

Observational study in Archives of disease in childhood. Fetal and neonatal edition, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
8.0field-weighted citation impact, top 2% 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

16 citing papers in PubMed, 22 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Associations of human milk lactoferrin with measures of physical growth in very preterm infants.Journal of perinatology : official journal of the California Perinatal Association · 2026
    Article
  5. Increasing length board use in a neonatal intensive care unit: a quality improvement initiative.Journal of perinatology : official journal of the California Perinatal Association · 2026
    Article
  6. Article
  7. Accuracy and reliability of bioelectrical impedance analysis for determining body composition among preterm infants.Nutrition in clinical practice : official publication of the American Society for Parenteral and Enteral Nutrition · 2025
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Infant body composition: A comprehensive overview of assessment techniques, nutrition factors, and health outcomes.Nutrition in clinical practice : official publication of the American Society for Parenteral and Enteral Nutrition · 2023
    Review
  13. Article
  14. Article
  15. Article
  16. Review
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

8 authors at 4 institutions in 3 countries.

Katherine Ann BellDepartment of Pediatric Newborn Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA kbell7@partners.org.ORCID http://orcid.org/0000-0002-4287-0667
Lillian G MatthewsTurner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, Clayton, Victoria, Australia.
Sara CherkerzianDepartment of Pediatric Newborn Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA.
Anna K ProhlComputational Radiology Laboratory, Department of Radiology, Boston Children's Hospital, Boston, Massachusetts, USA.
Simon K WarfieldComputational Radiology Laboratory, Department of Radiology, Boston Children's Hospital, Boston, Massachusetts, USA.
Terrie E InderDepartment of Pediatric Newborn Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA.
Shun OnishiDepartment of Pediatric Surgery, Research Field in Medical and Health Sciences, Medical and Dental Area, Research and Education Assembly, Kagoshima University, Kagoshima, Japan.
Mandy B BelfortDepartment of Pediatric Newborn Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA.ORCID http://orcid.org/0000-0001-8799-3313
Brigham and Women's Hospital · USBoston Children's Hospital · USKagoshima University · JPMurdoch Children's Research Institute · AU

Funding

HARVARD CLINICAL AND TRANSLATIONAL SCIENCE CENTER (UL1)UL1RR025758 · NCRR · HARVARD MEDICAL SCHOOL · PI NADLER, LEE MARSHALL · 2008 to 2011
$91.4M
Genetic Analysis and Manipulation Core (GAEC)P50HD105351 · NICHD · BOSTON CHILDREN'S HOSPITAL · PI SCOTT Loren POMEROY, MUSTAFA SAHIN · 2021 to 2026
$9.4M
Improved Motion Robust MRI of ChildrenR01EB019483 · NIBIB · BOSTON CHILDREN'S HOSPITAL · PI WARFIELD, SIMON K · 2015 to 2024
$3.9M
NCRR NIH HHS UL1 RR025758NIBIB NIH HHS R01 EB019483NICHD NIH HHS P50 HD105351
6 · The paper itself

Abstract

objectiveTo determine associations between body composition and concurrent measures of brain development including (1) Tissue-specific brain volumes and (2) White matter microstructure, among very preterm infants at term equivalent age.

designProspective observational study.

settingSingle-centre academic level III neonatal intensive care unit. PATIENTS: We studied 85 infants born <33 weeks' gestation.

methodsAt term equivalent age, infants underwent air displacement plethysmography to determine body composition, and brain MRI from which we quantified tissue-specific brain volumes and fractional anisotropy (FA) of white matter tracts. We estimated associations of fat and lean mass Z-scores with each brain outcome, using linear mixed models adjusted for intrafamilial correlation among twins and potential confounding variables.

resultsMedian gestational age was 29 weeks (range 23.4-32.9). One unit greater lean mass Z-score was associated with larger total brain volume (10.5 cc, 95% CI 3.8 to 17.2); larger volumes of the cerebellum (1.2 cc, 95% CI 0.5 to 1.9) and white matter (4.5 cc, 95% CI 0.7 to 8.3); and greater FA in the left cingulum (0.3%, 95% CI 0.1% to 0.6%), right uncinate fasciculus (0.2%, 95% CI 0.0% to 0.5%), and right posterior limb of the internal capsule (0.3%, 95% CI 0.03% to 0.6%). Fat Z-scores were not associated with any outcome.

conclusionsLean mass-but not fat-at term was associated with larger brain volume and white matter microstructure differences that suggest improved maturation. Lean mass accrual may index brain growth and development.

Indexed as

Infant, Premature, DiseasesWhite MatterBody CompositionBrainDiffusion Tensor ImagingFemaleFetal Growth RetardationHumansInfantInfant, NewbornInfant, Prematuregrowthneonatology

Identifiers

PMID35058276
PMCPMC9296693
OpenAlexW4206660989

What OpenQuestion holds

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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.