Evidence map›Paper›PMID 31541012›Full record

ArticleNeurology2019

Tissue bridges predict recovery after traumatic and ischemic thoracic spinal cord injury.

Dario Pfyffer, Eveline Huber, Reto Sutter, Armin Curt, Patrick Freund

Abstract read
In one paragraph

Article in Neurology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing 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

29 citing papers in PubMed.

  1. Article
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  12. Article
  13. Exploring the Landscape of Biomarkers in Spinal Cord Injury.Topics in spinal cord injury rehabilitation · 2025
    Review
  14. Observational
  15. Article
  16. Review
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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

5 authors.

Dario PfyfferFrom the Spinal Cord Injury Center (D.P., E.H., A.C., P.F.) and Radiology (R.S.), Balgrist University Hospital, Zurich, Switzerland; Wellcome Trust Centre for Neuroimaging (P.F.), UCL Institute of Neurology, University College London, UK; Department of Neurophysics (P.F.), Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany; and Department of Neurology (P.F.), University Hospital Zurich, Switzerland.
Eveline HuberFrom the Spinal Cord Injury Center (D.P., E.H., A.C., P.F.) and Radiology (R.S.), Balgrist University Hospital, Zurich, Switzerland; Wellcome Trust Centre for Neuroimaging (P.F.), UCL Institute of Neurology, University College London, UK; Department of Neurophysics (P.F.), Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany; and Department of Neurology (P.F.), University Hospital Zurich, Switzerland.
Reto SutterFrom the Spinal Cord Injury Center (D.P., E.H., A.C., P.F.) and Radiology (R.S.), Balgrist University Hospital, Zurich, Switzerland; Wellcome Trust Centre for Neuroimaging (P.F.), UCL Institute of Neurology, University College London, UK; Department of Neurophysics (P.F.), Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany; and Department of Neurology (P.F.), University Hospital Zurich, Switzerland.
Armin CurtFrom the Spinal Cord Injury Center (D.P., E.H., A.C., P.F.) and Radiology (R.S.), Balgrist University Hospital, Zurich, Switzerland; Wellcome Trust Centre for Neuroimaging (P.F.), UCL Institute of Neurology, University College London, UK; Department of Neurophysics (P.F.), Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany; and Department of Neurology (P.F.), University Hospital Zurich, Switzerland.
Patrick FreundFrom the Spinal Cord Injury Center (D.P., E.H., A.C., P.F.) and Radiology (R.S.), Balgrist University Hospital, Zurich, Switzerland; Wellcome Trust Centre for Neuroimaging (P.F.), UCL Institute of Neurology, University College London, UK; Department of Neurophysics (P.F.), Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany; and Department of Neurology (P.F.), University Hospital Zurich, Switzerland. patrick.freund@balgrist.ch.

Funding

Wellcome Trust
6 · The paper itself

Abstract

objectiveTo investigate the spatiotemporal evolution and predictive properties of intramedullary damage and midsagittal tissue bridges at the epicenter of a thoracic spinal cord injury (SCI) using MRI.

methodsWe retrospectively assessed midsagittal T2-weighted scans from 25 patients with thoracic SCI (14 traumatic, 11 ischemic) at 1 month post-SCI. In 12 patients with SCI, linear mixed-effects models on serial MRI explored temporal trajectories of quantifiable lesion markers (area, length, and width) and tissue bridges. Using partial correlation analysis, we assessed associations between structural lesion characteristics at 1 month post-SCI and recovery at 1 year postinjury, adjusting for baseline clinical status, age, and sex.

resultsLesion area decreased by 5.68 mm

conclusionsOver time, the immediate area of cord damage shrunk while the cystic cavity became demarcated. Adjacent to the cyst, midsagittal tissue bridges became visible. The width of tissue bridges at 1 month post-SCI predicted recovery at 1 year follow-up. Measures of lesion area and tissue bridges early after traumatic and ischemic thoracic SCI therefore allow characterizing the evolution of focal cord damage and are predictive of recovery in thoracic SCI. Thus, lesion extent and tissue bridges hold potential to improve diagnosis and patient stratification in interventional trials.

Indexed as

AdultBiomarkersCervical CordFemaleHumansIschemiaMagnetic Resonance ImagingMaleMiddle AgedRecovery of FunctionSpinal CordSpinal Cord InjuriesBiomarkers

Identifiers

PMID31541012
PMCPMC6815206

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.