Evidence map›Paper›PMID 37714903›Full record

ArticleScientific reports2023

Correlation of NICU anthropometry in extremely preterm infants with brain development and language scores at early school age.

Ting Ting Fu, Maria E Barnes-Davis, Hisako Fujiwara, Alonzo T Folger, Stephanie L Merhar, Darren S Kadis, Brenda B Poindexter, Nehal A Parikh

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2023. 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
2.9field-weighted citation impact, top 9% 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 5 citations in OpenAlex.

  1. Nutrition assessment of hospitalized very preterm infants: Best practices for accurate anthropometry in neonatal intensive care unit settings.Nutrition in clinical practice : official publication of the American Society for Parenteral and Enteral Nutrition · 2025
    Guideline
  2. Trial
  3. Article
  4. Review
  5. Observational
  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

8 authors at 3 institutions in 3 countries.

Ting Ting Fu *Division of Neonatology, Perinatal Institute, Cincinnati Children's Hospital Medical Center, 3333 Burnet Avenue, MLC 7009, Cincinnati, OH, 45229-3026, USA. tingting.fu@cchmc.org.ORCID http://orcid.org/0000-0003-1522-7219
Maria E Barnes-Davis *Division of Neonatology, Perinatal Institute, Cincinnati Children's Hospital Medical Center, 3333 Burnet Avenue, MLC 7009, Cincinnati, OH, 45229-3026, USA.ORCID http://orcid.org/0000-0001-5760-740X
Hisako FujiwaraDepartment of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, USA.
Alonzo T FolgerDepartment of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, USA.
Stephanie L MerharDivision of Neonatology, Perinatal Institute, Cincinnati Children's Hospital Medical Center, 3333 Burnet Avenue, MLC 7009, Cincinnati, OH, 45229-3026, USA.
Darren S KadisNeurosciences and Mental Health, Hospital for Sick Children, Toronto, ON, Canada.ORCID http://orcid.org/0000-0001-6785-2425
Brenda B PoindexterDivision of Neonatology, Department of Pediatrics, Emory University School of Medicine and Children's Healthcare of Atlanta, Atlanta, GA, USA.
Nehal A ParikhDivision of Neonatology, Perinatal Institute, Cincinnati Children's Hospital Medical Center, 3333 Burnet Avenue, MLC 7009, Cincinnati, OH, 45229-3026, USA.ORCID http://orcid.org/0000-0002-1375-1247
Cincinnati Children's Hospital Medical Center · USEmory University · USUniversity of Toronto · CA

Funding

Pediatric Center--Gene Expression /Developmental ScienceK12HD028827 · NICHD · CINCINNATI CHILDRENS HOSP MED CTR · PI Tina Lee Cheng · 2002 to 2026
$9.6M
Towards biomarkers of resiliency in the extremely preterm child: a multimodal neuroimaging study of brain and environmentK23NS117734 · NINDS · CINCINNATI CHILDRENS HOSP MED CTR · PI BARNES-DAVIS, MARIA E · 2021 to 2024
$772k
NICHD NIH HHS K12 HD028827NINDS NIH HHS K23 NS117734
6 · The paper itself

Abstract

Growth in preterm infants in the neonatal intensive care unit (NICU) is associated with increased global and regional brain volumes at term, and increased postnatal linear growth is associated with higher language scores at age 2. It is unknown whether these relationships persist to school age or if an association between growth and cortical metrics exists. Using regression analyses, we investigated relationships between the growth of 42 children born extremely preterm (< 28 weeks gestation) from their NICU hospitalization, standardized neurodevelopmental/language assessments at 2 and 4-6 years, and multiple neuroimaging biomarkers obtained from T1-weighted images at 4-6 years. We found length at birth and 36 weeks post-menstrual age had positive associations with language scores at 2 years in multivariable linear regression. No growth metric correlated with 4-6 year assessments. Weight and head circumference at 36 weeks post-menstrual age positively correlated with total brain volume and negatively with global cortical thickness at 4-6 years of age. Head circumference relationships remained significant after adjusting for age, sex, and socioeconomic status. Right temporal cortical thickness was related to receptive language at 4-6 years in the multivariable model. Results suggest growth in the NICU may have lasting effects on brain development in extremely preterm children.

Indexed as

Infant, Extremely PrematureIntensive Care Units, NeonatalAnthropometryBrainChildChild, PreschoolHumansInfantInfant, NewbornLanguage

Identifiers

PMID37714903
PMCPMC10504298
OpenAlexW4386776821

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.