Evidence map›Paper›PMID 30913967›Full record

ArticleThe Journal of orthopaedic and sports physical therapy2019

Are Magnetic Resonance Imaging Technologies Crucial to Our Understanding of Spinal Conditions?

Rebecca J Crawford, Maryse Fortin, Kenneth A Weber, Andrew Smith, James M Elliott

Abstract read
In one paragraph

Article in The Journal of orthopaedic and sports physical therapy, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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

  1. Pooled it
  2. Review
  3. Article
  4. Biopsychosocial sequelae and recovery trajectories from whiplash injury following a motor vehicle collision.The spine journal : official journal of the North American Spine Society · 2023
    Article
  5. Article
  6. Article
  7. Article
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

5 authors.

Rebecca J Crawford
Maryse Fortin
Kenneth A Weber
Andrew Smith
James M Elliott

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

synopsisPersistent spinal (traumatic and nontraumatic) pain is common and contributes to high societal and personal costs globally. There is an acknowledged urgency for new and interdisciplinary approaches to the condition, and soft tissues, including skeletal muscles, the spinal cord, and the brain, are rightly receiving increased attention as important biological contributors. In reaction to the recent suspicion and questioned value of imaging-based findings, this paper serves to recognize the promise that the technological evolution of imaging techniques, and particularly magnetic resonance imaging, is allowing in characterizing previously less visible morphology. We emphasize the value of quantification and data analysis of several contributors in the biopsychosocial model for understanding spinal pain. Further, we highlight emerging evidence regarding the pathobiology of changes to muscle composition (eg, atrophy, fatty infiltration), as well as advancements in neuroimaging and musculoskeletal imaging techniques (eg, fat-water imaging, functional magnetic resonance imaging, diffusion imaging, magnetization transfer imaging) for these important soft tissues. These noninvasive and objective data sources may complement known prognostic factors of poor recovery, patient self-report, diagnostic tests, and the "-omics" fields. When combined, advanced "big-data" analyses may assist in identifying associations previously not considered. Our clinical commentary is supported by empirical findings that may orient future efforts toward collaborative conversation, hypothesis generation, interdisciplinary research, and translation across a number of health fields. Our emphasis is that magnetic resonance imaging technologies and research are crucial to the advancement of our understanding of the complexities of spinal conditions.

Indexed as

Magnetic Resonance ImagingBrainHumansLow Back PainMuscle, SkeletalNeck PainSpinal DiseasesMRImusclepainsoft tissuesspinal cordspine

Identifiers

PMID30913967
PMCPMC6608575

What OpenQuestion holds

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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.