Evidence map›Paper›PMID 34840597›Full record

ArticleComputational and mathematical methods in medicine2021

Relationship between the Quantitative Indicators of Cranial MRI and the Early Neurodevelopment of Preterm Infants.

Jing Yin, Yanhui Wu, Yuxuan Shi, Lu Shen, Qigai Yin

Open access · hybridAbstract read
In one paragraph

Article in Computational and mathematical methods in medicine, 2021. 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
0.3field-weighted citation impact, top 34% 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, 3 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

5 authors at 2 institutions in 1 country.

Jing YinDepartment of Pediatrics, Xuzhou Medical University Affiliated Hospital of Lianyungang, Lianyungang 222000, China.
Yanhui WuDepartment of Pediatrics, Lianyungang Clinical Medical College of Nanjing Medical University, Lianyungang 222042, China.
Yuxuan ShiDepartment of Pediatrics, Xuzhou Medical University Affiliated Hospital of Lianyungang, Lianyungang 222000, China.
Lu ShenDepartment of Pediatrics, Xuzhou Medical University Affiliated Hospital of Lianyungang, Lianyungang 222000, China.
Qigai YinDepartment of Pediatrics, Xuzhou Medical University Affiliated Hospital of Lianyungang, Lianyungang 222000, China.ORCID https://orcid.org/0000-0001-9966-1404
Xuzhou Medical College · CNLianyungang Oriental Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimTo explore the relationship between the quantitative indicators (biparietal width, interhemispheric distance) of the cranial MRI for preterm infants at 37 weeks of postmenstrual age (PMA) and neurodevelopment at 6 months of corrected age.

methodsA total of 113 preterm infants (gestational age < 37 weeks) delivered in the Obstetrics Department of the First People's Hospital of Lianyungang from September 2018 to February 2020 and directly transferred to the Neonatology Department for treatment were enrolled in this study. Based on their development quotient (DQ), the patients were divided into the normal (DQ ≥ 85,

resultsUnivariate analysis showed statistically significant differences in BPW, IHD, and the incidence of bronchopulmonary dysplasia between the normal and the abnormal groups (

conclusionBPW and IHD, the two quantitative indicators acquired by cMRI, could predict the neurodevelopmental outcome of preterm infants at the corrected age of 6 months. The combination of the two indicators showed an even higher predictive value.

Indexed as

BrainComputational BiologyFemaleHumansInfantInfant, NewbornInfant, PrematureMagnetic Resonance ImagingMaleNeurodevelopmental DisordersNeuroimagingPrognosisROC CurveSkull

Identifiers

PMID34840597
PMCPMC8626187
OpenAlexW3212542638

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.