Evidence map›Paper›PMID 29930399›Full record

Trial reportScientific reports2018

Variability in stroke motor outcome is explained by structural and functional integrity of the motor system.

Timothy K Lam, Malcolm A Binns, Kie Honjo, Deirdre R Dawson, Bernhard Ross, Donald T Stuss, Sandra E Black, J Jean Chen, Takako Fujioka, Joyce L Chen

Abstract readClinical Trial
In one paragraph

Trial report in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Review
  8. The elusive metric of lesion load.Brain structure & function · 2023
    Review
  9. Article
  10. Article
  11. Review
  12. Article
  13. Observational
  14. Article
  15. Article
  16. 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.

Timothy K LamHeart and Stroke Foundation Canadian Partnership for Stroke Recovery, Toronto, ON, Canada.
Malcolm A BinnsRotman Research Institute, Baycrest Centre, Toronto, ON, Canada.
Kie HonjoHeart and Stroke Foundation Canadian Partnership for Stroke Recovery, Toronto, ON, Canada.
Deirdre R DawsonHeart and Stroke Foundation Canadian Partnership for Stroke Recovery, Toronto, ON, Canada.
Bernhard RossRotman Research Institute, Baycrest Centre, Toronto, ON, Canada.ORCID 0000-0001-7290-631X
Donald T StussRotman Research Institute, Baycrest Centre, Toronto, ON, Canada.
Sandra E BlackHeart and Stroke Foundation Canadian Partnership for Stroke Recovery, Toronto, ON, Canada.
J Jean ChenRotman Research Institute, Baycrest Centre, Toronto, ON, Canada.
Takako FujiokaRotman Research Institute, Baycrest Centre, Toronto, ON, Canada.ORCID 0000-0003-2421-9106
Joyce L ChenHeart and Stroke Foundation Canadian Partnership for Stroke Recovery, Toronto, ON, Canada. joyce.chen@sunnybrook.ca.

Funding

Canadian Institutes for Health Research MOP119547
6 · The paper itself

Abstract

Biomarkers that represent the structural and functional integrity of the motor system enable us to better assess motor outcome post-stroke. The degree of overlap between the stroke lesion and corticospinal tract (CST Injury) is a measure of the structural integrity of the motor system, whereas the left-to-right motor cortex resting state connectivity (LM1-RM1 rs-connectivity) is a measure of its functional integrity. CST Injury and LM1-RM1 rs-connectivity each individually correlate with motor outcome post-stroke, but less is understood about the relationship between these biomarkers. Thus, this study investigates the relationship between CST Injury and LM1-RM1 rs-connectivity, individually and together, with motor outcome. Twenty-seven participants with upper limb motor deficits post-stroke completed motor assessments and underwent MRI at one time point. CST Injury and LM1-RM1 rs-connectivity were derived from T1-weighted and resting state functional MRI scans, respectively. We performed hierarchical multiple regression analyses to determine the contribution of each biomarker in explaining motor outcome. The interaction between CST Injury and LM1-RM1 rs-connectivity does not significantly contribute to the variability in motor outcome. However, inclusion of both CST Injury and LM1-RM1 rs-connectivity explains more variability in motor outcome, than either alone. We suggest both biomarkers provide distinct information about an individual's motor outcome.

Indexed as

Motor SkillsAdultAgedConnectomeFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedMotor CortexPyramidal TractsStrokeUpper Extremity

Identifiers

PMID29930399
PMCPMC6013462

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.