Evidence map›Paper›PMID 34170961›Full record

ArticlePloS one2021

Fatty infiltration in cervical flexors and extensors in patients with degenerative cervical myelopathy using a multi-muscle segmentation model.

Monica Paliwal, Kenneth A Weber, Andrew C Smith, James M Elliott, Fauziyya Muhammad, Nader S Dahdaleh, Jerzy Bodurka, Yasin Dhaher, Todd B Parrish, Sean Mackey and 1 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 2 pooled it
3.8field-weighted citation impact, top 6% 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

21 citing papers in PubMed, 2 syntheses or guidelines pooled it, 29 citations in OpenAlex.

  1. Pooled it
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  14. Artificial Intelligence in Spine and Paraspinal Muscle Analysis.Advances in experimental medicine and biology · 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

11 authors at 6 institutions in 2 countries.

Monica PaliwalDepartment of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma, United States of America.ORCID 0000-0001-9022-8399
Kenneth A WeberDepartment of Anesthesiology, Systems Neuroscience and Pain Laboratory, Perioperative and Pain Medicine, Stanford University, Palo Alto, California, United States of America.
Andrew C SmithDepartment of Physical Medicine and Rehabilitation, School of Medicine, Physical Therapy Program, Aurora, Colorado, United States of America.
James M ElliottDepartment of Physical Therapy and Human Movement Sciences, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, United States of America.
Fauziyya MuhammadDepartment of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma, United States of America.
Nader S DahdalehDepartment of Neurological Surgery, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, United States of America.
Jerzy BodurkaLaureate Institute for Brain Research, Tulsa, Oklahoma, United States of America.
Yasin DhaherDepartment of Physical Medicine and Rehabilitation, University of Texas Southwestern Medical Center, Dallas, Texas, United States of America.
Todd B ParrishDepartment of Radiology, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, United States of America.
Sean MackeyDepartment of Anesthesiology, Systems Neuroscience and Pain Laboratory, Perioperative and Pain Medicine, Stanford University, Palo Alto, California, United States of America.
Zachary A SmithDepartment of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma, United States of America.
Northwestern University · USUniversity of Oklahoma Health Sciences Center · USStanford University · USAmerican Physical Therapy Association · USLaureate Institute for Brain Research · USThe University of Texas Southwestern Medical Center · US

Funding

Neuroimaging and Mentoring in Translational Pain ResearchK24DA029262 · NIDA · STANFORD UNIVERSITY · PI MACKEY, SEAN C · 2010 to 2019
$1.9M
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 K24 DA029262NINDS NIH HHS K23 NS104211NINDS NIH HHS L30 NS108301
6 · The paper itself

Abstract

backgroundIn patients with degenerative cervical myelopathy (DCM) that have spinal cord compression and sensorimotor deficits, surgical decompression is often performed. However, there is heterogeneity in clinical presentation and post-surgical functional recovery.

objectivesPrimary: a) to assess differences in muscle fat infiltration (MFI) in patients with DCM versus controls, b) to assess association between MFI and clinical disability. Secondary: to assess association between MFI pre-surgery and post-surgical functional recovery. STUDY

designCross-sectional case control study.

methodsEighteen patients with DCM (58.6 ± 14.2 years, 10 M/8F) and 25 controls (52.6 ± 11.8 years, 13M/12 F) underwent 3D Dixon fat-water imaging. A convolutional neural network (CNN) was used to segment cervical muscles (MFSS- multifidus and semispinalis cervicis, LC- longus capitis/colli) and quantify MFI. Modified Japanese Orthopedic Association (mJOA) and Nurick were collected.

resultsPatients with DCM had significantly higher MFI in MFSS (20.63 ± 5.43 vs 17.04 ± 5.24, p = 0.043) and LC (18.74 ± 6.7 vs 13.66 ± 4.91, p = 0.021) than controls. Patients with increased MFI in LC and MFSS had higher disability (LC: Nurick (Spearman's ρ = 0.436, p = 0.003) and mJOA (ρ = -0.399, p = 0.008)). Increased MFI in LC pre-surgery was associated with post-surgical improvement in Nurick (ρ = -0.664, p = 0.026) and mJOA (ρ = -0.603, p = 0.049).

conclusionIn DCM, increased muscle adiposity is significantly associated with sensorimotor deficits, clinical disability, and functional recovery after surgery. Accurate and time efficient evaluation of fat infiltration in cervical muscles may be conducted through implementation of CNN models.

Indexed as

Decompression, SurgicalCervical VertebraeFemaleHumansMaleMiddle AgedMusculoskeletal SystemNeckNeck MusclesParaspinal MusclesRecovery of FunctionSpinal Cord CompressionSpinal Cord DiseasesSpondylosisTreatment Outcome

Identifiers

PMID34170961
PMCPMC8232539
OpenAlexW3174018913

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.