Evidence map›Paper›PMID 33690874›Full record

ReviewSeminars in neurology2021

Learning and Stroke Recovery: Parallelism of Biological Substrates.

Mary Teena Joy, S Thomas Carmichael

Open access · greenAbstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Seminars in neurology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.9field-weighted citation impact, top 24% 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

7 citing papers in PubMed, 11 citations in OpenAlex.

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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

2 authors at 1 institution in 1 country.

Mary Teena JoyDepartment of Neurology, David Geffen School of Medicine at UCLA, Los Angeles, California.
S Thomas CarmichaelDepartment of Neurology, David Geffen School of Medicine at UCLA, Los Angeles, California.ORCID 0000-0002-1169-9203
University of California, Los Angeles · US

Funding

Mechanisms of White Matter Repair in Subcortical White Matter IschemiaR37NS102185 · NINDS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI CARMICHAEL, STANLEY THOMAS · 2018 to 2024
$2.8M
The role of pericytes in scar formation following stroke and myocardial infarctionR01NS112256 · NINDS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI CARMICHAEL, STANLEY THOMAS · 2020 to 2024
$2.2M
Molecular Mechanisms of Axonal Sprouting and Recovery from StrokeR01NS085019 · NINDS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI CARMICHAEL, STANLEY THOMAS · 2014 to 2018
$1.7M
iPS-Glial Restricted Progenitors in White Matter Repair for StrokeR01NS103788 · NINDS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI CARMICHAEL, STANLEY THOMAS, LOWRY, WILLIAM E · 2018 to 2022
$1.6M
NINDS NIH HHS R01 NS085019NINDS NIH HHS R01 NS103788NINDS NIH HHS R01 NS112256NINDS NIH HHS R37 NS102185
6 · The paper itself

Abstract

Stroke is a debilitating disease. Current effective therapies for stroke recovery are limited to neurorehabilitation. Most stroke recovery occurs in a limited and early time window. Many of the mechanisms of spontaneous recovery after stroke parallel mechanisms of normal learning and memory. While various efforts are in place to identify potential drug targets, an emerging approach is to understand biological correlates between learning and stroke recovery. This review assesses parallels between biological changes at the molecular, structural, and functional levels during learning and recovery after stroke, with a focus on drug and cellular targets for therapeutics.

Indexed as

StrokeStroke RehabilitationHumansLearningNeuronal PlasticityRecovery of Function

Identifiers

PMID33690874
PMCPMC10640717
OpenAlexW3134064609

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.