Evidence map›Paper›PMID 40689134›Full record

ArticleBrain & spine2025

Emerging advances in spinal cord injury: An introductory overview.

Michael G Fehlings, Shintaro Honda, Peter Vajkoczy, Narihito Nagoshi

Abstract readEditorial
In one paragraph

Article in Brain & spine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

4 authors.

Michael G FehlingsDivision of Neurosurgery, Krembil Neuroscience Centre, University Health Network, Toronto, Ontario, Canada.
Shintaro HondaDivision of Genetics and Development, Krembil Brain Institute, University Health Network, Toronto, Ontario, Canada.
Peter VajkoczyDepartment of Neurosurgery, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin Institute of Health, Berlin, Germany.
Narihito NagoshiDepartment of Orthopaedic Surgery, Keio University School of Medicine, Tokyo, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Spinal cord injury (SCI) remains a devastating condition with limited treatment options. This Focus Issue highlights recent clinical and translational advances across the continuum of SCI care from prehospital coordination to novel therapeutics. The articles cover multidisciplinary strategies during the early post-injury phase, including acute pre-hospital care and pragmatic alternatives for settings with limited medical resources. A historical perspective on the evolution of surgical timing and a comprehensive reappraisal of the pathophysiology of central cord syndrome provide valuable clinical context. Emerging diagnostic innovations are prominently featured, including novel biomarkers such as cerebrospinal fluid pressure dynamics, quantitative MRI, and navigated transcranial magnetic stimulation, which offer the potential to refine diagnosis and personalize prognostication. In parallel, emerging therapeutic technologies such as 3D-printed surgical guides and clinical applications of stem cell therapies represent significant advances in addressing long-standing challenges. The issue also includes comprehensive reviews of current classification systems and diagnostic criteria for both spine fractures and degenerative cervical myelopathy. Together, these contributions provide a multidisciplinary overview of the evolving landscape in SCI research and care, bridging basic science with clinical practice across diverse healthcare settings.

Identifiers

PMID40689134
PMCPMC12274901

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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Registered trials

None linked

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.