Evidence map›Paper›PMID 34189085›Full record

ArticleTranslational pediatrics2021

Amplitude of low-frequency fluctuation may be an early predictor of delayed motor development due to neonatal hyperbilirubinemia: a fMRI study.

Kai Yan, Feifan Xiao, Yuwei Jiang, Chunmei Lu, Yong Zhang, Yanting Kong, Jian Zhou, Junbo Wang, Chengxiang Lin, Haowei Yang and 6 more

Open access · diamondAbstract read
In one paragraph

Article in Translational pediatrics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.3field-weighted citation impact, top 19% 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

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Motor Development Comparison between Preterm and Full-Term Infants Using Alberta Infant Motor Scale.International journal of environmental research and public health · 2023
    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

16 authors at 4 institutions in 1 country.

Kai YanDepartment of Neonatology, Children' Hospital of Fudan University, Shanghai, China.
Feifan XiaoDepartment of Neonatology, Children' Hospital of Fudan University, Shanghai, China.
Yuwei JiangInstitute of Neuroscience, Key Laboratory of Primate Neurobiology, CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China.
Chunmei LuDepartment of Neonatology, Children' Hospital of Fudan University, Shanghai, China.
Yong ZhangMR Research, GE Healthcare, Shanghai, China.
Yanting KongDepartment of Neonatology, Children' Hospital of Fudan University, Shanghai, China.
Jian ZhouDepartment of Radiology, Children' Hospital of Fudan University, Shanghai, China.
Junbo WangDepartment of Radiology, Children' Hospital of Fudan University, Shanghai, China.
Chengxiang LinDepartment of Radiology, Children' Hospital of Fudan University, Shanghai, China.
Haowei YangDepartment of Radiology, Children' Hospital of Fudan University, Shanghai, China.
Dajiang ZhangDepartment of Radiology, Children' Hospital of Fudan University, Shanghai, China.
Guoqiang ChengDepartment of Neonatology, Children' Hospital of Fudan University, Shanghai, China.
Zhongwei QiaoDepartment of Radiology, Children' Hospital of Fudan University, Shanghai, China.
Liping WangInstitute of Neuroscience, Key Laboratory of Primate Neurobiology, CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China.
Qian QinChildren's Hospital of Fudan University, Shanghai Key Laboratory of Birth Defects, The Translational Medicine Center of Children Development and Disease of Fudan University, Shanghai, China.
Wenhao ZhouDepartment of Neonatology, Children' Hospital of Fudan University, Shanghai, China.
Children's Hospital of Fudan University · CNCenter for Excellence in Brain Science and Intelligence Technology · CNChinese Academy of Sciences · CNUnited Imaging Healthcare (China) · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAcute bilirubin encephalopathy or kernicterus is the worst consequence of brain damage caused by the elevation of total unbound serum bilirubin (TSB) in neonates. The present study aimed to visualize the characteristic brain regions of neonates with hyperbilirubinemia (HB) using functional magnetic resonance imaging (fMRI) and to measure the amplitude of low-frequency fluctuation (ALFF) values.

methodsThis was a prospective cohort study, which included newborns with HB who were hospitalized at the Children's Hospital of Fudan University. The control group included neonates admitted with neonatal simple wet lung or pneumonia without neurological disease or brain injury. Newborns were divided into a severe hyperbilirubinemia group (SHB), moderate HB group, and control group based on TSB levels. The newborns completed routine MRI combined with fMRI scans and brainstem auditory evoked potentials (BAEPs) during their hospitalization.

resultsA total of 251 newborns were included in this study. There were 45 patients in the SHB group, 65 in the HB group, and 141 in the control group. The average ALFF value in the basal ganglia region in the SHB group was the highest, which was greater than that in the HB and control groups (P<0.001). The ALFF increased with an increase in TSB concentration. Based on the results of the Bayley Scales of infant development assessment, we further found that the most significant difference in ALFF remained in the basal ganglia region between newborns with motor development scores above 70 (including 70) and below 70. Correlation analysis revealed a strong negative correlation between motor development scores and ALFF (r=-0.691, P<0.001). When ALFF alone was used to predict motor development, the sensitivity was 89%. When ALFF was combined with TSB and BEAP results, the area under the ROC curve was the largest (AUC =0.85). The sensitivity and specificity of the model were 67.86% and 90.77%, respectively.

conclusionsThe ALFF value may be able to serve as an early imaging biomarker and has a greater sensitivity than TSB or BAEP results in predicting long-term motor development (18 m) in HB.

Indexed as

amplitude of low frequency fluctuationfunctional magnetic resonance imaging (fMRI)Hyperbilirubinemia (HB)neonate

Identifiers

PMID34189085
PMCPMC8192981
OpenAlexW3154452023

What OpenQuestion holds

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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.