Evidence map›Paper›PMID 30260528›Full record

ArticleJournal of neuroimaging : official journal of the American Society of Neuroimaging2019

Clinical Factors That Affect the Relationship between Head Circumference and Brain Volume in Very-Low-Birth-Weight Infants.

Yukako Kawasaki, Taketoshi Yoshida, Mie Matsui, Akiko Hiraiwa, Satomi Inomata, Kentaro Tamura, Masami Makimoto, Kenichi Oishi

Open access · bronzeAbstract read
In one paragraph

Article in Journal of neuroimaging : official journal of the American Society of Neuroimaging, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
2.5field-weighted citation impact, top 10% 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

4 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
  2. Observational
  3. Article
  4. 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 4 institutions in 2 countries.

Yukako KawasakiDivision of Neonatology, Maternal and Perinatal Center, Toyama University Hospital, Toyama, Japan.
Taketoshi YoshidaDivision of Neonatology, Maternal and Perinatal Center, Toyama University Hospital, Toyama, Japan.
Mie MatsuiLaboratory of Clinical Cognitive Neuroscience, Institute of Liberal Arts and Science, Kanazawa University, Kakuma-machi, Kanazawa, Ishikawa, Japan.
Akiko HiraiwaDepartment of Pediatrics, Faculty of Medicine, University of Toyama, Toyama, Japan.
Satomi InomataDivision of Neonatology, Maternal and Perinatal Center, Toyama University Hospital, Toyama, Japan.
Kentaro TamuraDivision of Neonatology, Maternal and Perinatal Center, Toyama University Hospital, Toyama, Japan.
Masami MakimotoDivision of Neonatology, Maternal and Perinatal Center, Toyama University Hospital, Toyama, Japan.
Kenichi OishiThe Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD.
Toyama University Hospital · JPJohns Hopkins Medicine · USKanazawa University · JPUniversity of Toyama · JP

Funding

Development of quantitative MRI DTI analysis tool for preterm neonateR01HD065955 · NICHD · JOHNS HOPKINS UNIVERSITY · PI OISHI, KENICHI · 2011 to 2015
$2.3M
NICHD NIH HHS R01 HD065955
6 · The paper itself

Abstract

background and purposeMeasuring head circumference (HC) in infants is an easy screening procedure with which to detect abnormalities in brain growth. It has been demonstrated that HC can predict total brain volume (TBV) in very-low-birth-weight (VLBW) infants. However, the correlation between HC and TBV was weaker than that observed in healthy term-born toddlers, suggesting that there are factors that influence the relationship between HC and TBV. The aim of this study was to identify the clinical risk factors that caused a deviation from the regression line obtained between HC and TBV.

methodsThe study population was based on 37 VLBW infants, who underwent a clinical magnetic resonance imaging (MRI) examination at a term-equivalent age, during 2013-2015, at Toyama University Hospital. The HC and the TBV were both adjusted for sex, multiple births, and postmenstrual age. The relationship between TBV/HC and clinical characteristics was evaluated.

resultsThere was a positive correlation between HC and TBV (r = .58, P = .000168). Two clinical factors, the lower birth body weight (BBW) (r = .38, P = .02) and dolichocephaly (r = 0.46, P = .006), were identified as factors that negatively affected the TBV/HC ratio. After excluding infants with low BBW or with dolichocephaly, the correlation between HC and TBV was higher (r = .63).

conclusionsAlthough HC has predictive value for TBV in VLBW infants, care should be taken in infants with low BBW (BBW less than 600 g) or dolichocephaly (MRI-based cranial index less than .68), which were related to overestimation of TBV.

Indexed as

Infant, Very Low Birth WeightAnthropometryBrainFemaleHeadHumansInfantInfant, NewbornMagnetic Resonance ImagingMaleOrgan SizeRisk FactorsdolichocephalyHead circumferenceMRItotal brain volumevery-low-birth-weight infant

Identifiers

PMID30260528
PMCPMC6689194
OpenAlexW2891373422

What OpenQuestion holds

Textmetadata
LicenceTDM
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.