Evidence map›Paper›PMID 34371017›Full record

ArticleArchives of physical medicine and rehabilitation2022

Lateral Corticospinal Tract and Dorsal Column Damage: Predictive Relationships With Motor and Sensory Scores at Discharge From Acute Rehabilitation After Spinal Cord Injury.

Andrew C Smith, Denise R O'Dell, Stephanie R Albin, Jeffrey C Berliner, David Dungan, Eli Robinson, James M Elliott, Julio Carballido-Gamio, Jennifer Stevens-Lapsley, Kenneth A Weber

Abstract read
In one paragraph

Article in Archives of physical medicine and rehabilitation, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

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

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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

10 authors.

Andrew C SmithDepartment of Physical Medicine and Rehabilitation, Physical Therapy Program, University of Colorado School of Medicine, Aurora, CO; Regis University School of Physical Therapy, Denver, CO. Electronic address: andrew.c2.smith@cuanschutz.edu.
Denise R O'DellRegis University School of Physical Therapy, Denver, CO; Craig Hospital, Englewood, CO.
Stephanie R AlbinRegis University School of Physical Therapy, Denver, CO.
Jeffrey C BerlinerCraig Hospital, Englewood, CO.
David DunganCraig Hospital, Englewood, CO; Radiology Imaging Associates, Denver, CO.
Eli RobinsonCraig Hospital, Englewood, CO.
James M ElliottFaculty of Medicine and Health, University of Sydney, Northern Sydney Local Health District, Kolling Research Institute, St Leonards, Sydney, Australia.
Julio Carballido-GamioDepartment of Radiology, University of Colorado School of Medicine, Aurora, CO.
Jennifer Stevens-LapsleyDepartment of Physical Medicine and Rehabilitation, Physical Therapy Program, University of Colorado School of Medicine, Aurora, CO.
Kenneth A WeberDepartment of Anesthesiology, Perioperative, and Pain Medicine, Stanford University School of Medicine, Palo Alto, CA.

Funding

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 R03 HD094577NINDS NIH HHS K23 NS104211NINDS NIH HHS L30 NS108301
6 · The paper itself

Abstract

objectiveTo determine if lateral corticospinal tract (LCST) integrity demonstrates a significant predictive relationship with future ipsilateral lower extremity motor function (LEMS) and if dorsal column (DC) integrity demonstrates a significant predictive relationship with future light touch (LT) sensory function post spinal cord injury (SCI) at time of discharge from inpatient rehabilitation.

designRetrospective analyses of imaging and clinical outcomes.

settingUniversity and academic hospital.

participantsA total of 151 participants (N=151) with SCI.

interventionsInpatient rehabilitation.

main outcome measuresLEMS and LT scores at discharge from inpatient rehabilitation.

resultsIn 151 participants, right LCST spared tissue demonstrated a significant predictive relationship with right LEMS percentage recovered (β=0.56; 95% confidence interval [CI], 0.37-0.73; R=0.43; P<.001). Left LCST spared tissue demonstrated a significant predictive relationship with left LEMS percentage recovered (β=0.66; 95% CI, 0.50-0.82; R=0.51; P<.001). DC spared tissue demonstrated a significant predictive relationship with LT percentage recovered (β=0.69; 95% CI, 0.52-0.87; R=0.55; P<.001). When subgrouping the participants into motor complete vs incomplete SCI, motor relationships were no longer significant, but the sensory relationship remained significant. Those who had no voluntary motor function but recovered some also had significantly greater LCST spared tissue than those who did not recover motor function.

conclusionsLCST demonstrated significant moderate predictive relationships with lower extremity motor function at the time of discharge from inpatient rehabilitation, in an ipsilesional manner. DC integrity demonstrated a significant moderate predictive relationship with recovered function of LT. With further development, these neuroimaging methods might be used to predict potential deficits after SCI and to provide corresponding targeted interventions.

Indexed as

Recovery of FunctionAdultDisability EvaluationFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedPatient DischargePredictive Value of TestsPyramidal TractsRetrospective StudiesSpinal Cord InjuriesCervical cordMagnetic resonance imagingPyramidal tractsRehabilitationSpinal cord injuries

Identifiers

PMID34371017
PMCPMC8712383

What OpenQuestion holds

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Registered trials

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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.