Evidence map›Paper›PMID 30151640›Full record

ArticleEuropean radiology2019

Proper timing for the evaluation of neonatal brain white matter development: a diffusion tensor imaging study.

Chao Jin, Yanyan Li, Xianjun Li, Miaomiao Wang, Congcong Liu, Jie Gao, Qinli Sun, Deqiang Qiu, Lingxia Zeng, Xihui Zhou and 4 more

Abstract read
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In one paragraph

Article in European radiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.5field-weighted citation impact, top 31% 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, 10 citations in OpenAlex.

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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

14 authors at 3 institutions in 2 countries.

Chao JinDepartment of Radiology, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710061, People's Republic of China.
Yanyan LiDepartment of Radiology, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710061, People's Republic of China.
Xianjun LiDepartment of Radiology, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710061, People's Republic of China.
Miaomiao WangDepartment of Radiology, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710061, People's Republic of China.
Congcong LiuDepartment of Radiology, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710061, People's Republic of China.
Jie GaoDepartment of Radiology, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710061, People's Republic of China.
Qinli SunDepartment of Radiology, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710061, People's Republic of China.
Deqiang QiuDepartment of Radiology and Imaging Sciences, Emory University, Atlanta, GA, 30322, USA.
Lingxia ZengDepartment of Epidemiology and Health Statistics, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, 710054, People's Republic of China.
Xihui ZhouDepartment of Neonatology, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710061, People's Republic of China.
Gailian LiDepartment of Neonatology, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710061, People's Republic of China.
Jinni ZhangDepartment of Pediatric, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710061, People's Republic of China.
Jie ZhengClinical Research Center, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710061, People's Republic of China.
Jian YangDepartment of Radiology, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710061, People's Republic of China. yj1118@mail.xjtu.edu.cn.ORCID http://orcid.org/0000-0003-4250-1391
First Affiliated Hospital of Xi'an Jiaotong University · CNEmory University · USXi'an Jiaotong University · CN

Funding

China Postdoctoral Science Foundation 2017M613145National Key Research and Development Program of China 2016YFC0100300National Natural Science Foundation of China 51706178National Natural Science Foundation of China 81171317National Natural Science Foundation of China 81471631National Natural Science Foundation of China 81771810Shaanxi Provincial Natural Science Foundation for Youths of China 2017JQ8005the 2011 New Century Excellent Talent Support Plan of the Ministry of Education, China NCET-11-0438the Clinical Research Award of the First Affiliated Hospital of Xi'an Jiaotong University XJTU1AF-CRF-2015-004the Hospital Fund of the First Affiliated Hospital of Xi'an Jiaotong University, China 2016QN-08
6 · The paper itself

Abstract

objectiveWe aimed to determine the timing for assessing birth status of the developing brain (i.e. brain maturity at birth) by exploring the postnatal age-related changes in neonatal brain white matter (WM).

methodsThe institutional review board approved this study and all informed parental consents were obtained. 133 neonates (gestational age, 30-42 weeks) without abnormalities on MRI were studied with regard to WM development by diffusion tensor imaging-derived fractional anisotropy (FA). Tract-based spatial statistics (TBSS), locally-weighted scatterplot smoothing (LOESS) and piecewise linear-fitting were used to investigate the relationship between FA and postnatal age. FA along corticospinal tract (CST), optic radiation (OR), auditory radiation (AR) and thalamus-primary somatosensory cortex (thal-PSC) were extracted by automated fibre-tract quantification; their differences and associations with neonatal neurobehavioural scores at various postnatal age ranges were analysed by Wilcoxon's rank-sum test and Pearson's correlation.

resultsUsing TBSS, postnatal age (days 1-28) positively correlated with FA in multiple WMs, including CST, OR, AR and thal-PSC (p<0.05). On the other hand, when narrowing the postnatal age window to days 1-14, no significant correlation was found, suggesting a biphasic WM development. LOESS and piecewise linear-fitting indicated that FA increased mildly before day 14 and its growth accelerated thereafter. Both FA and correlations with neurobehavioural scores in postnatal age range 2 (days 15-28) were significantly higher than in range 1 (days 1-14) (FA comparison: p<0.05; maximal correlation-coefficient: 0.693 vs. 0.169).

conclusionBrain WM development during the neonatal stage includes two phases, i.e. a close-to-birth period within the first 14 days and a following accelerated maturation period. Therefore, evaluations of birth status should preferably be performed during the first period. KEY POINTS: • Brain white matter development within the first two postnatal weeks resembles a close-to-birth maturation. • Brain white matter development in the audio-visual, sensorimotor regions accelerates after two postnatal weeks. • Postnatal age-related effects should be considered in comparing preterm and term neonates.

Indexed as

Age FactorsAnisotropyDiffusion Tensor ImagingFemaleGestational AgeHumansInfant, NewbornMagnetic Resonance ImagingMalePyramidal TractsRetrospective StudiesTime FactorsWhite MatterChild developmentDiffusion tensor imagingNewbornWhite matter

Identifiers

PMID30151640
OpenAlexW2889267940

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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.