Evidence map›Paper›PMID 39733028›Full record

ArticleScientific reports2024

Analysis of imaging risk factors for prognosis in children with spinal cord injury without radiologic abnormalities.

Junyi Hu, Cui Wang

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

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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

3 citing papers in PubMed.

  1. Review
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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

2 authors.

Junyi HuDepartment of Clinical Medicine, International Medical College, Children's Hospital of Chongqing Medical University, Chongqing Medical University, Chongqing, 400016, China.
Cui WangRadiology Department, Children's Hospital of Chongqing Medical University, Yuzhong District Zhongshan 2 Road 136#, Chongqing, 400014, China. 15922666868@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to identify imaging risk factors for spinal cord injury without radiologic abnormalities (SCIWORA) in children. We retrospectively analyzed the medical records and magnetic resonance imaging (MRI) findings of children with SCIWORA admitted to our hospital between January 1, 2012, and September 30, 2022. Univariate and binary logistic regression analyses were used to evaluate the prognostic impact of various factors including MRI type, maximum cross-sectional area of spinal cord injury, injury length, injury signal intensity ratio. The American Spinal Injury Association (ASIA) impairment scale (AIS) was used to assess neurological improvement of spinal cord injury. A total of 39 patients met the inclusion criteria, comprising three males and 36 females aged 6.38 ± 1.7 years. The injuries were predominantly dance-related (25 patients), followed by car accidents (4 patients), and falls/sprains (10 patients). Seventeen patients showed improvement in the AIS grade, while 22 did not. Binary logistic regression analysis revealed that the maximum cross-sectional area and length of the damaged segment were significant prognostic factors. Receiver operating characteristic curve analysis demonstrated an area under the curve (AUC) of 0.91, with a maximum cutoff value, sensitivity, and specificity of 0.12, 81.80%, and 88.20%, respectively, for the maximum damage cross-sectional area. For the damaged segment length, the AUC, maximum cutoff value, sensitivity, and specificity were 0.78, 6.50, 50%, and 41%, respectively. Whole-spine MRI plays a crucial role in the diagnosis and prognosis of pediatric patients with SCIWORA. The cross-sectional area and length of spinal cord injury are risk factors for poor prognosis.Level of evidence: IV.

Indexed as

Magnetic Resonance ImagingSpinal Cord InjuriesChildChild, PreschoolFemaleHumansMalePrognosisRetrospective StudiesRisk FactorsROC Curve

Identifiers

PMID39733028
PMCPMC11682076

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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.