Evidence map›Paper›PMID 34797993›Full record

ArticleGlobal spine journal2022

Imaging and Electrophysiology for Degenerative Cervical Myelopathy [AO Spine RECODE-DCM Research Priority Number 9].

Allan R Martin, Lindsay Tetreault, Aria Nouri, Armin Curt, Patrick Freund, Vafa Rahimi-Movaghar, Jefferson R Wilson, Michael G Fehlings, Brian K Kwon, James S Harrop and 5 more

Abstract read
In one paragraph

Article in Global spine journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 1 pooled it
–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

30 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  15. Reproducible Spinal Cord Quantitative MRI Analysis with the Spinal Cord Toolbox.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2024
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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

15 authors.

Allan R MartinDepartment of Neurological Surgery, 8789University of California Davis, Davis, CA, USA.
Lindsay TetreaultDepartment of Neurology, 5894New York University, Langone Health, Graduate Medical Education, New York, NY, USA.
Aria NouriDivision of Neurosurgery, Geneva University Hospitals, 27230University of Geneva, Geneva, Switzerland.ORCID https://orcid.org/0000-0002-4965-3059
Armin CurtUniversity Spine Center, 31031Balgrist University Hospital, Zurich, Switzerland.
Patrick FreundUniversity Spine Center, 31031Balgrist University Hospital, Zurich, Switzerland.
Vafa Rahimi-MovagharDepartment of Neurosurgery, Sina Trauma and Surgery Research Center, 48439Tehran University of Medical Sciences, Tehran, Iran.
Jefferson R WilsonDivision of Neurosurgery, Department of Surgery, 7938University of Toronto, Toronto, ON, Canada.ORCID https://orcid.org/0000-0001-5965-0305
Michael G FehlingsDivision of Neurosurgery, Department of Surgery, 7938University of Toronto, Toronto, ON, Canada.ORCID https://orcid.org/0000-0002-5722-6364
Brian K KwonVancouver Spine Surgery Institute, Department of Orthopedics, The University of British Columbia, Vancouver, BC, Canada.
James S HarropDepartment of Neurological Surgery, 6529Thomas Jefferson University, Philadelphia, PA, USA.
Benjamin M DaviesDepartment of Neurosurgery, 2152University of Cambridge, Cambridge, UK.ORCID https://orcid.org/0000-0003-0591-5069
Mark R N KotterDepartment of Neurosurgery, 2152University of Cambridge, Cambridge, UK.
James D GuestDepartment of Neurosurgery and The Miami Project to Cure Paralysis, The Miller School of Medicine, 12235University of Miami, Miami, FL, USA.
Bizhan AarabiDepartment of Neurosurgery, 1479University of Maryland, Baltimore, MD, USA.
Shekar N KurpadDepartment of Neurosurgery, 5506Medical College of Wisconsin, Wauwatosa, WI, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

STUDY

designNarrative review.

objectiveThe current review aimed to describe the role of existing techniques and emerging methods of imaging and electrophysiology for the management of degenerative cervical myelopathy (DCM), a common and often progressive condition that causes spinal cord dysfunction and significant morbidity globally.

methodsA narrative review was conducted to summarize the existing literature and highlight future directions.

resultsAnatomical magnetic resonance imaging (MRI) is well established in the literature as the key imaging tool to identify spinal cord compression, disc herniation/bulging, and inbuckling of the ligamentum flavum, thus facilitating surgical planning, while radiographs and computed tomography (CT) provide complimentary information. Electrophysiology techniques are primarily used to rule out competing diagnoses. However, signal change and measures of cord compression on conventional MRI have limited utility to characterize the degree of tissue injury, which may be helpful for diagnosis, prognostication, and repeated assessments to identify deterioration. Early translational studies of quantitative imaging and electrophysiology techniques show potential of these methods to more accurately reflect changes in spinal cord microstructure and function.

conclusionCurrently, clinical management of DCM relies heavily on anatomical MRI, with additional contributions from radiographs, CT, and electrophysiology. Novel quantitative assessments of microstructure, perfusion, and function have the potential to transform clinical practice, but require robust validation, automation, and standardization prior to uptake.

Indexed as

assessmentcervical myelopathydiagnosiselectrophysiologyimagingmagnetic resonancemicrostructureneural damagespinal cord compression

Identifiers

PMID34797993
PMCPMC8859711

What OpenQuestion holds

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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.