Evidence map›Paper›PMID 31240117›Full record

ArticleSpinal cord series and cases2019

Establishing the inter-rater reliability of spinal cord damage manual measurement using magnetic resonance imaging.

David P Cummins, Jordan R Connor, Katherine A Heller, Joshua S Hubert, Megan J Kates, Katarina R Wisniewski, Jeffrey C Berliner, Denise R O'Dell, James M Elliott, Kenneth A Weber and 1 more

Open access · bronzeAbstract read
In one paragraph

Article in Spinal cord series and cases, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.1field-weighted citation impact, top 24% 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

12 citing papers in PubMed, 19 citations in OpenAlex.

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  10. The influence of conventional TThe journal of spinal cord medicine · 2023
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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

11 authors at 4 institutions in 2 countries.

David P Cummins1Regis University School of Physical Therapy, Denver, CO USA.
Jordan R Connor1Regis University School of Physical Therapy, Denver, CO USA.
Katherine A Heller1Regis University School of Physical Therapy, Denver, CO USA.
Joshua S Hubert1Regis University School of Physical Therapy, Denver, CO USA.
Megan J Kates1Regis University School of Physical Therapy, Denver, CO USA.
Katarina R Wisniewski1Regis University School of Physical Therapy, Denver, CO USA.
Jeffrey C Berliner2Craig Hospital, Englewood, CO USA.
Denise R O'Dell1Regis University School of Physical Therapy, Denver, CO USA.
James M Elliott3Faculty of Health Sciences, The University of Sydney, Northern Sydney Local Health District, St Leonards, Sydney, NSW Australia.
Kenneth A WeberStanford University Department of Anesthesiology, Perioperative and Pain Medicine, Palo Alto, CA USA.ORCID 0000-0002-0916-9174
Andrew C Smith1Regis University School of Physical Therapy, Denver, CO USA.ORCID 0000-0001-5020-8094
Regis University · USCraig Hospital · USMidwestern University · USPalo Alto University · US

Funding

Interdisciplinary Research Training in Pain and Substance Use DisordersT32DA035165 · NIDA · STANFORD UNIVERSITY · PI SEAN C MACKEY · 2013 to 2026
$7.2M
Neuromuscular Mechanisms Underlying Poor Recovery from Whiplash InjuriesR01HD079076 · NICHD · NORTHWESTERN UNIVERSITY AT CHICAGO · PI COURTNEY, D. MARK, ELLIOTT, JAMES MATTHEW · 2014 to 2018
$1.6M
Neuroimaging-Based Brain and Spinal Cord Biomarkers for Cervical RadiculopathyK23NS104211 · NINDS · STANFORD UNIVERSITY · PI WEBER, KENNETH ARNOLD · 2018 to 2022
$875k
MRI and machine learning to improve early prognosis and clinical management after spinal cord injuryR03HD094577 · NICHD · UNIVERSITY OF COLORADO DENVER · PI SMITH, ANDREW CRAIG · 2019 to 2020
$195k
NICHD NIH HHS R01 HD079076NICHD NIH HHS R03 HD094577NIDA NIH HHS T32 DA035165NINDS NIH HHS K23 NS104211NINDS NIH HHS L30 NS108301
6 · The paper itself

Abstract

Study design: Retrospective study. Objectives: To establish the inter-rater reliability in the quantitative evaluation of spinal cord damage following cervical incomplete spinal cord injury (SCI) utilizing magnetic resonance imaging (MRI). MRI was used to perform manual measurements of the cranial and caudal boundaries of edema, edema length, midsagittal tissue bridge ratio, axial damage ratio, and edema volume in 10 participants with cervical incomplete SCI. Setting: Academic university setting. Methods: Structural MRIs of 10 participants with SCI were collected from Northwestern University's Neuromuscular Imaging and Research Lab. All manual measures were performed using OsiriX (Pixmeo Sarl, Geneva, Switzerland). Intraclass correlation coefficients (ICC) were used to determine inter-rater reliability across seven raters of varying experience. Results: High-to-excellent inter-rater reliability was found for all measures. ICC values for cranial/caudal levels of involvement, edema length, midsagittal tissue bridge ratio, axial damage ratio, and edema volume were 0.99, 0.98, 0.90, 0.84, and 0.93, respectively. Conclusions: Manual MRI measures of spinal cord damage are reliable between raters. Researchers and clinicians may confidently utilize manual MRI measures to quantify cord damage. Future research to predict functional recovery following SCI and better inform clinical management is warranted.

Indexed as

AdultCervical VertebraeEdemaFemaleHumansImaging, Three-DimensionalMagnetic Resonance ImagingMaleMiddle AgedObserver VariationReproducibility of ResultsRetrospective StudiesSpinal CordSpinal Cord Injuries

Identifiers

PMID31240117
PMCPMC6461921
OpenAlexW2914869753

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.