Evidence map›Paper›PMID 35521064›Full record

ArticleTopics in spinal cord injury rehabilitation2022

Spinal Cord Tissue Bridges Validation Study: Predictive Relationships With Sensory Scores Following Cervical Spinal Cord Injury.

Andrew C Smith, Denise R O'Dell, Wesley A Thornton, David Dungan, Eli Robinson, Ashesh Thaker, Robyn Gisbert, Kenneth A Weber, Jeffrey C Berliner, Stephanie R Albin

Abstract read
In one paragraph

Article in Topics in spinal cord injury rehabilitation, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–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

14 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Exploring the Landscape of Biomarkers in Spinal Cord Injury.Topics in spinal cord injury rehabilitation · 2025
    Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. 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

10 authors.

Andrew C SmithUniversity of Colorado School of Medicine, Department of Physical Medicine and Rehabilitation, Physical Therapy Program, Aurora, Colorado.
Denise R O'DellRegis University School of Physical Therapy, Denver, Colorado.
Wesley A ThorntonUniversity of Colorado School of Medicine, Department of Physical Medicine and Rehabilitation, Physical Therapy Program, Aurora, Colorado.
David DunganCraig Hospital, Englewood, Colorado.
Eli RobinsonCraig Hospital, Englewood, Colorado.
Ashesh ThakerUniversity of Colorado School of Medicine, Department of Radiology, Aurora, Colorado.
Robyn GisbertUniversity of Colorado School of Medicine, Department of Physical Medicine and Rehabilitation, Physical Therapy Program, Aurora, Colorado.
Kenneth A WeberStanford University School of Medicine, Department of Anesthesiology, Perioperative and Pain Medicine, Palo Alto, California.
Jeffrey C BerlinerCraig Hospital, Englewood, Colorado.
Stephanie R AlbinRegis University School of Physical Therapy, Denver, Colorado.

Funding

MULTICENTER CAREER DEVELOPMENT PROGRAM FOR PHYSICAL AND OCCUPATIONAL THERAPYK12HD055931 · NICHD · WASHINGTON UNIVERSITY · PI HAYES, MARCIE HARRIS · 2007 to 2021
$12.7M
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 K12 HD055931NICHD NIH HHS R03 HD094577NINDS NIH HHS K23 NS104211NINDS NIH HHS L30 NS108301
6 · The paper itself

Abstract

Background: Using magnetic resonance imaging (MRI), widths of ventral tissue bridges demonstrated significant predictive relationships with future pinprick sensory scores, and widths of dorsal tissue bridges demonstrated significant predictive relationships with future light touch sensory scores, following spinal cord injury (SCI). These studies involved smaller participant numbers, and external validation of their findings is warranted. Objectives: The purpose of this study was to validate these previous findings using a larger independent data set. Methods: Widths of ventral and dorsal tissue bridges were quantified using MRI in persons post cervical level SCI (average 3.7 weeks post injury), and pinprick and light touch sensory scores were acquired at discharge from inpatient rehabilitation (average 14.3 weeks post injury). Pearson product-moments were calculated and linear regression models were created from these data. Results: Wider ventral tissue bridges were significantly correlated with pinprick scores ( Conclusion: This retrospective study's results provide external validation of previous findings, using a larger sample size. Following SCI, ventral tissue bridges hold significant predictive relationships with future pinprick sensory scores and dorsal tissue bridges hold significant predictive relationships with future light touch sensory scores.

Indexed as

Cervical CordSoft Tissue InjuriesSpinal Cord InjuriesHumansMagnetic Resonance ImagingRetrospective Studieslight touchMRIpinpricksensory testingspinal cord injurytissue bridge

Identifiers

PMID35521064
PMCPMC9009194

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.