Evidence map›Paper›PMID 25068107›Full record

ArticleNeuroImage. Clinical2014

Neonatal physiological correlates of near-term brain development on MRI and DTI in very-low-birth-weight preterm infants.

Jessica Rose, Rachel Vassar, Katelyn Cahill-Rowley, Ximena Stecher Guzman, Susan R Hintz, David K Stevenson, Naama Barnea-Goraly

Open access · goldAbstract read
In one paragraph

Article in NeuroImage. Clinical, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
8.6field-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

29 citing papers in PubMed, 46 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Observational
  9. Article
  10. Baby brain atlases.NeuroImage · 2019
    Review
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. A New Ultrasound Marker for Bedside Monitoring of Preterm Brain Growth.AJNR. American journal of neuroradiology · 2016
    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

7 authors at 3 institutions in 2 countries.

Jessica RoseDepartment of Orthopaedic Surgery, Stanford University School of Medicine, Stanford, CA, USA ; Motion Analysis Lab, Lucile Packard Children's Hospital, Stanford, CA, USA.
Rachel VassarDepartment of Orthopaedic Surgery, Stanford University School of Medicine, Stanford, CA, USA.
Katelyn Cahill-RowleyDepartment of Orthopaedic Surgery, Stanford University School of Medicine, Stanford, CA, USA ; Motion Analysis Lab, Lucile Packard Children's Hospital, Stanford, CA, USA ; Department of Bioengineering, Stanford University, Stanford, CA, USA.
Ximena Stecher GuzmanRadiology Department, Universidad del Desarrollo, Facultad de Medicina Clínica Alemana, Chile.
Susan R HintzDivision of Neonatology and Developmental Medicine, Stanford University School of Medicine, Stanford, CA, USA.
David K StevensonDivision of Neonatology and Developmental Medicine, Stanford University School of Medicine, Stanford, CA, USA.
Naama Barnea-GoralyCenter for Interdisciplinary Brain Sciences Research, Stanford University School of Medicine, Stanford, CA, USA.
Stanford University · USLucile Packard Children's Hospital · USUniversidad del Desarrollo · CL

Funding

Spectrum Stanford Center for clinical and Translational Research and EducationUL1TR001085 · NCATS · STANFORD UNIVERSITY · PI CULLEN, MARK RICHARD, GREENBERG, HARRY BERNARD · 2013 to 2017
$37.1M
Stanford Center for Clinical and Translational Education and Research (SCCTER)UL1UL1RR025744 · NCRR · STANFORD UNIVERSITY · PI GREENBERG, HARRY BERNARD · 2008 to 2011
$22.4M
NCATS NIH HHS UL1 TR001085NCRR NIH HHS UL1 RR025744
6 · The paper itself

Abstract

Structural brain abnormalities identified at near-term age have been recognized as potential predictors of neurodevelopment in children born preterm. The aim of this study was to examine the relationship between neonatal physiological risk factors and early brain structure in very-low-birth-weight (VLBW) preterm infants using structural MRI and diffusion tensor imaging (DTI) at near-term age. Structural brain MRI, diffusion-weighted scans, and neonatal physiological risk factors were analyzed in a cross-sectional sample of 102 VLBW preterm infants (BW ≤ 1500 g, gestational age (GA) ≤ 32 weeks), who were admitted to the Lucile Packard Children's Hospital, Stanford NICU and recruited to participate prior to routine near-term brain MRI conducted at 36.6 ± 1.8 weeks postmenstrual age (PMA) from 2010 to 2011; 66/102 also underwent a diffusion-weighted scan. Brain abnormalities were assessed qualitatively on structural MRI, and white matter (WM) microstructure was analyzed quantitatively on DTI in six subcortical regions defined by DiffeoMap neonatal brain atlas. Specific regions of interest included the genu and splenium of the corpus callosum, anterior and posterior limbs of the internal capsule, the thalamus, and the globus pallidus. Regional fractional anisotropy (FA) and mean diffusivity (MD) were calculated using DTI data and examined in relation to neonatal physiological risk factors including gestational age (GA), bronchopulmonary dysplasia (BPD), necrotizing enterocolitis (NEC), retinopathy of prematurity (ROP), and sepsis, as well as serum levels of C-reactive protein (CRP), glucose, albumin, and total bilirubin. Brain abnormalities were observed on structural MRI in 38/102 infants including 35% of females and 40% of males. Infants with brain abnormalities observed on MRI had higher incidence of BPD (42% vs. 25%) and sepsis (21% vs. 6%) and higher mean and peak serum CRP levels, respectively, (0.64 vs. 0.34 mg/dL, p = .008; 1.57 vs. 0.67 mg/dL, p= .006) compared to those without. The number of signal abnormalities observed on structural MRI correlated to mean and peak CRP (rho = .316, p = .002; rho = .318, p= .002). The number of signal abnormalities observed on MRI correlated with thalamus MD (left: r= .382, p= .002; right: r= .400, p= .001), controlling for PMA-at-scan. Thalamus WM microstructure demonstrated the strongest associations with neonatal risk factors. Higher thalamus MD on the left and right, respectively, was associated with lower GA (r = -.322, p = .009; r= -.381, p= .002), lower mean albumin (r = -.276, p= .029; r= -.385, p= .002), and lower mean bilirubin (r = -.293, p= .020; r= -.337 p= .007). Results suggest that at near-term age, thalamus WM microstructure may be particularly vulnerable to certain neonatal risk factors. Interactions between albumin, bilirubin, phototherapy, and brain development warrant further investigation. Identification of physiological risk factors associated with selective vulnerability of certain brain regions at near-term age may clarify the etiology of neurodevelopmental impairment and inform neuroprotective treatment for VLBW preterm infants.

Indexed as

BrainCross-Sectional StudiesDiffusion Tensor ImagingFemaleHumansInfantInfant, NewbornInfant, PrematureInfant, Very Low Birth WeightMagnetic Resonance ImagingMaleALIC, anterior limb of the internal capsuleBrain developmentCC, corpus callosumDiffusion tensor imagingDTI, diffusion tensor imagingFA, fractional anisotropyGA, gestational ageGloP, globus pallidusIC, internal capsuleMD, mean diffusivityMRIPLIC, posterior limb of the internal capsulePMA, post-menstrual agePreterm infantsRisk factorsVLBW, very-low-birth-weightWhite matter microstructure

Identifiers

PMID25068107
PMCPMC4110350
OpenAlexW2086522146

What OpenQuestion holds

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LicenceCC BY-NC-SA
Read underepoch 390

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.