Evidence map›Paper›PMID 29321336›Full record

ArticleStroke2018

Neuroimaging Identifies Patients Most Likely to Respond to a Restorative Stroke Therapy.

Jessica M Cassidy, George Tran, Erin B Quinlan, Steven C Cramer

Open access · bronzeAbstract read
In one paragraph

Article in Stroke, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
49citing papers in PubMed, 1 pooled it
5.4field-weighted citation impact, top 4% 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

49 citing papers in PubMed, 1 synthesis or guideline pooled it, 65 citations in OpenAlex.

  1. Pooled it
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  3. Characterizing ipsilateral thalamic diaschisis in symptomatic cerebrovascular steno-occlusive patients.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2020
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  18. Cross-Frequency Coupling as a Biomarker for Early Stroke Recovery.Neurorehabilitation and neural repair · 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

4 authors at 1 institution in 1 country.

Jessica M CassidyFrom the Department of Neurology (J.M.C., S.C.C.), Department of Anatomy and Neurobiology (G.T., E.B.Q., S.C.C.), and Department of Physical Medicine and Rehabilitation (S.C.C.), University of California, Irvine. jcassid1@uci.edu.
George TranFrom the Department of Neurology (J.M.C., S.C.C.), Department of Anatomy and Neurobiology (G.T., E.B.Q., S.C.C.), and Department of Physical Medicine and Rehabilitation (S.C.C.), University of California, Irvine.
Erin B QuinlanFrom the Department of Neurology (J.M.C., S.C.C.), Department of Anatomy and Neurobiology (G.T., E.B.Q., S.C.C.), and Department of Physical Medicine and Rehabilitation (S.C.C.), University of California, Irvine.
Steven C CramerFrom the Department of Neurology (J.M.C., S.C.C.), Department of Anatomy and Neurobiology (G.T., E.B.Q., S.C.C.), and Department of Physical Medicine and Rehabilitation (S.C.C.), University of California, Irvine.
University of California, Irvine · US

Funding

University of California Health Participation in the National COVID Cohort Collaborative (N3C)UL1TR001414 · NCATS · UNIVERSITY OF CALIFORNIA-IRVINE · PI COOPER, DAN M, VILAIN, ERIC J. · 2015 to 2023
$35.1M
Institute for Clinical and Translational ScienceUL1TR000153 · NCATS · UNIVERSITY OF CALIFORNIA-IRVINE · PI COOPER, DAN M · 2012 to 2015
$12.1M
U.C. Irvine Multidisciplinary Exercise Science Training ProgramT32AR047752 · NIAMS · UNIVERSITY OF CALIFORNIA-IRVINE · PI CAIOZZO, VINCENT JAMES, COOPER, DAN M · 2003 to 2018
$2.5M
Brain plasticity and rehabilitation after strokeK24HD074722 · NICHD · UNIVERSITY OF CALIFORNIA-IRVINE · PI CRAMER, STEVEN C. · 2013 to 2017
$588k
Brain Network Connectivity Measures in Early Stroke RehabilitationK99HD091375 · NICHD · UNIVERSITY OF CALIFORNIA-IRVINE · PI CASSIDY, JESSICA M · 2017 to 2018
$198k
NCATS NIH HHS UL1 TR000153NCATS NIH HHS UL1 TR001414NIAMS NIH HHS T32 AR047752NICHD NIH HHS K24 HD074722NICHD NIH HHS K99 HD091375
6 · The paper itself

Abstract

background and purposePatient heterogeneity reduces statistical power in clinical trials of restorative therapies. Valid predictors of treatment responsiveness are needed, and several have been studied with a focus on corticospinal tract (CST) injury. We studied performance of 4 such measures for predicting behavioral gains in response to motor training therapy.

methodsPatients with subacute-chronic hemiparetic stroke (n=47) received standardized arm motor therapy, and change in arm Fugl-Meyer score was calculated from baseline to 1 month post-therapy. Injury measures calculated from baseline magnetic resonance imaging included (1) percent CST overlap with stroke, (2) CST-related atrophy (cerebral peduncle area), (3) CST integrity (fractional anisotropy) in the cerebral peduncle, and (4) CST integrity in the posterior limb of internal capsule.

resultsPercent CST overlap with stroke, CST-related atrophy, and CST integrity did not correlate with one another, indicating that these 3 measures captured independent features of CST injury. Percent injury to CST significantly predicted treatment-related behavioral gains (

conclusionsPercent CST injury is useful for predicting motor gains in response to therapy in the setting of subacute-chronic stroke. This measure can be used as an entry criterion or a stratifying variable in restorative stroke trials to increase statistical power, reduce sample size, and reduce the cost of such trials.

Indexed as

NeuroimagingAnisotropyCerebral PeduncleDiffusion Tensor ImagingFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedPyramidal TractsRetrospective StudiesStrokeStroke Rehabilitationclinical trialhumanspyramidal tractsrehabilitationstroke

Identifiers

PMID29321336
PMCPMC5780222
OpenAlexW2783805287

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.