Evidence map›Paper›PMID 38753862›Full record

ArticlePloS one2024

Changing trends in traumatic spinal cord injury in an aging society: Epidemiology of 1152 cases over 15 years from a single center in Japan.

Kazuya Yokota, Hiroaki Sakai, Osamu Kawano, Yuichiro Morishita, Muneaki Masuda, Tetsuo Hayashi, Kensuke Kubota, Ryosuke Ideta, Yuto Ariji, Ryuichiro Koga and 7 more

Abstract read
In one paragraph

Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

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

18 citing papers in PubMed.

  1. Article
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  5. Review
  6. Thoracolumbar noncontiguous spinal fractures in surgically treated older patients with cervical spine injuries: incidence, risk factors, and impact on functional outcome.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
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. A multimodal machine learning model integrating clinical and MRI data for predicting neurological outcomes following surgical treatment for cervical spinal cord injury.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 · 2025
    Article
  14. Review
  15. Observational
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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

17 authors.

Kazuya YokotaDepartment of Orthopaedic Surgery, Japan Labor Health and Welfare Organization Spinal Injuries Center, Iizuka, Fukuoka, Japan.ORCID 0000-0002-5930-6499
Hiroaki SakaiDepartment of Orthopaedic Surgery, Japan Labor Health and Welfare Organization Spinal Injuries Center, Iizuka, Fukuoka, Japan.
Osamu KawanoDepartment of Orthopaedic Surgery, Japan Labor Health and Welfare Organization Spinal Injuries Center, Iizuka, Fukuoka, Japan.
Yuichiro MorishitaDepartment of Orthopaedic Surgery, Japan Labor Health and Welfare Organization Spinal Injuries Center, Iizuka, Fukuoka, Japan.
Muneaki MasudaDepartment of Orthopaedic Surgery, Japan Labor Health and Welfare Organization Spinal Injuries Center, Iizuka, Fukuoka, Japan.
Tetsuo HayashiDepartment of Orthopaedic Surgery, Japan Labor Health and Welfare Organization Spinal Injuries Center, Iizuka, Fukuoka, Japan.
Kensuke KubotaDepartment of Orthopaedic Surgery, Japan Labor Health and Welfare Organization Spinal Injuries Center, Iizuka, Fukuoka, Japan.
Ryosuke IdetaDepartment of Rehabilitation Medicine, Japan Labor Health and Welfare Organization Spinal Injuries Center, Iizuka, Fukuoka, Japan.
Yuto ArijiDepartment of Rehabilitation Medicine, Japan Labor Health and Welfare Organization Spinal Injuries Center, Iizuka, Fukuoka, Japan.ORCID 0000-0003-2322-5037
Ryuichiro KogaDepartment of Rehabilitation Medicine, Japan Labor Health and Welfare Organization Spinal Injuries Center, Iizuka, Fukuoka, Japan.
Satoshi MuraiDepartment of Rehabilitation Medicine, Japan Labor Health and Welfare Organization Spinal Injuries Center, Iizuka, Fukuoka, Japan.
Ryusei IfukuDepartment of Rehabilitation Medicine, Japan Labor Health and Welfare Organization Spinal Injuries Center, Iizuka, Fukuoka, Japan.
Masatoshi UemuraDepartment of Rehabilitation Medicine, Japan Labor Health and Welfare Organization Spinal Injuries Center, Iizuka, Fukuoka, Japan.
Junji KishimotoCenter for Clinical and Translational Research, Graduate School of Medical Sciences, Kyushu University, Higashiku, Fukuoka, Japan.
Hiroko WatanabeCenter for Clinical and Translational Research, Graduate School of Medical Sciences, Kyushu University, Higashiku, Fukuoka, Japan.
Yasuharu NakashimaDepartment of Orthopaedic Surgery, Graduate School of Medical Sciences, Kyushu University, Higashiku, Fukuoka, Japan.
Takeshi MaedaDepartment of Orthopaedic Surgery, Japan Labor Health and Welfare Organization Spinal Injuries Center, Iizuka, Fukuoka, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Traumatic spinal cord injury (TSCI) causes an insult to the central nervous system, often resulting in devastating temporary or permanent neurological impairment and disability, which places a substantial financial burden on the health-care system. This study aimed to clarify the up-to-date epidemiology and demographics of patients with TSCI treated at the largest SCI center in Japan. Data on all patients admitted to the Spinal Injuries Center with TSCI between May 2005 and December 2021 were prospectively collected using a customized, locally designed SCI database named the Japan Single Center Study for Spinal Cord Injury Database (JSSCI-DB). A total of 1152 patients were identified from the database. The study period was divided into the four- or five-year periods of 2005-2009, 2010-2013, 2014-2017, and 2018-2021 to facilitate the observation of general trends over time. Our results revealed a statistically significant increasing trend in age at injury. Since 2014, the average age of injury has increased to exceed 60 years. The most frequent spinal level affected by the injury was high cervical (C1-C4: 45.8%), followed by low cervical (C5-C8: 26.4%). Incomplete tetraplegia was the most common cause or etiology category of TSCI, accounting for 48.4% of cases. As the number of injuries among the elderly has increased, the injury mechanisms have shifted from high-fall trauma and traffic accidents to falls on level surfaces and downstairs. Incomplete tetraplegia in the elderly due to upper cervical TSCI has also increased over time. The percentage of injured patients with an etiology linked to alcohol use ranged from 13.2% (2005-2008) to 19% (2014-2017). Given that Japan has one of the highest aging populations in the world, epidemiological studies in this country will be very helpful in determining health insurance and medical costs and deciding strategies for the prevention and treatment of TSCI in future aging populations worldwide.

Indexed as

Spinal Cord InjuriesAdolescentAdultAgedAged, 80 and overAgingDatabases, FactualFemaleHumansJapanMaleMiddle AgedYoung Adult

Identifiers

PMID38753862
PMCPMC11098516

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.