Evidence map›Paper›PMID 38570804›Full record

ArticleBMC pediatrics2024

Clinical characteristics analysis of pediatric spinal cord injury without radiological abnormality in China: a retrospective study.

Renfeng Liu, Qizhi Fan, Jingpeng He, Xin Wu, Wei Tan, Zuyun Yan, Weiguo Wang, Zhiyue Li, You-Wen Deng

Open access · goldAbstract read
In one paragraph

Article in BMC pediatrics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
3.4field-weighted citation impact, top 8% 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

8 citing papers in PubMed, 8 citations in OpenAlex.

  1. IShuffleNet-PCNN hybrid classifier within an MResU-Net-based framework for spinal cord injury detection and classification using CT images.European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2026
    Article
  2. Improved deep joint model with tuned improved LeNet for spinal cord segmentation and injury detection using CT images.European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2026
    Article
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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

9 authors at 2 institutions in 1 country.

Renfeng LiuDepartment of Spinal Surgery, The Third Xiangya Hospital of Central South University, Changsha, Hunan Province, China.
Qizhi FanDepartment of Spinal Surgery, The Third Xiangya Hospital of Central South University, Changsha, Hunan Province, China.
Jingpeng HeDepartment of Spinal Surgery, The Third Xiangya Hospital of Central South University, Changsha, Hunan Province, China.
Xin WuDepartment of Spinal Surgery, The Third Xiangya Hospital of Central South University, Changsha, Hunan Province, China.
Wei TanDepartment of Spinal Surgery, The Third Xiangya Hospital of Central South University, Changsha, Hunan Province, China.
Zuyun YanDepartment of Spinal Surgery, The Third Xiangya Hospital of Central South University, Changsha, Hunan Province, China.
Weiguo WangDepartment of Spinal Surgery, The Third Xiangya Hospital of Central South University, Changsha, Hunan Province, China.
Zhiyue LiDepartment of Spinal Surgery, The Third Xiangya Hospital of Central South University, Changsha, Hunan Province, China.
You-Wen DengDepartment of Spinal Surgery, The Third Xiangya Hospital of Central South University, Changsha, Hunan Province, China. drywdeng@163.com.
Third Xiangya Hospital · CNCentral South University · CN

Funding

Hunan Graduate Innovation Project in 2022 2022ZZTS0263Science and Technology Leading Talent Project of Hunan Science and Technology Innovation Talent Plan in 2021 No. 2021RC4057
6 · The paper itself

Abstract

purposeThis study aims to analyze the clinical characteristics of Chinese children with spinal cord injury (SCI) without radiographic abnormality (SCIWORA) and explore their contributing factors and mechanisms of occurrence.

methodsA retrospective analysis was conducted on the clinical data of pediatric patients diagnosed with SCIWORA from January 2005 to May 2020. Epidemiological, etiological, mechanistic, therapeutic, and outcome aspects were analyzed.

resultsA total of 47 patients with SCIWORA were included in this study, comprising 16 males and 31 females. The age range was 4 to 12 years, with an average age of 7.49 ± 2.04 years, and 70% of the patients were below eight. Sports-related injuries constituted 66%, with 70% attributed to dance backbend practice. Thoracic segment injuries accounted for 77%. In the American Spinal Injury Association (ASIA) classification, the combined proportion of A and B grades accounted for 88%. Conservative treatment was chosen by 98% of the patients, with muscle atrophy, spinal scoliosis, hip joint abnormalities, and urinary system infections being the most common complications.

conclusionSCIWORA in Chinese children is more prevalent in those under eight years old, with a higher incidence in females than males. Thoracic spinal cord injuries are predominant, dance backbend as a primary contributing factor, and the social environment of "neijuan" is a critical potential inducing factor. Furthermore, the initial severity of the injury plays a decisive role in determining the prognosis of SCIWORA.

Indexed as

Spinal Cord InjuriesChildChild, PreschoolChinaFemaleHumansMagnetic Resonance ImagingMalePrognosisRadiographyRetrospective StudiesBackbendChinese childrenDancingPediatricSCIWORASports-related

Identifiers

PMID38570804
PMCPMC10988788
OpenAlexW4393866026

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.