Evidence map›Paper›PMID 29480080›Full record

ArticleTopics in stroke rehabilitation2018

The relationship between BDNF Val66Met polymorphism and functional mobility in chronic stroke survivors.

Margaret A French, Susanne M Morton, Ryan T Pohlig, Darcy S Reisman

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Topics in stroke rehabilitation, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 2 pooled it
1.9field-weighted citation impact, top 15% 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

12 citing papers in PubMed, 2 syntheses or guidelines pooled it, 20 citations in OpenAlex.

  1. Pooled it
  2. Influences of genetic variants on stroke recovery: a meta-analysis of the 31,895 cases.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2019
    Pooled it
  3. Trial
  4. Review
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  6. Review
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  8. Article
  9. Brain-derived Neurotrophic Factor and Its Applications through Nanosystem Delivery.Iranian journal of pharmaceutical research : IJPR · 2021
    Review
  10. Article
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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.

Margaret A Frencha Department of Physical Therapy, College of Health Sciences , University of Delaware , Newark , DE , USA.ORCID 0000-0002-3581-7374
Susanne M Mortona Department of Physical Therapy, College of Health Sciences , University of Delaware , Newark , DE , USA.
Ryan T Pohligc Biostatistics Core Facility, College of Health Sciences , University of Delaware , Newark , DE , USA.
Darcy S Reismana Department of Physical Therapy, College of Health Sciences , University of Delaware , Newark , DE , USA.
University of Delaware · US

Funding

Promoting Recovery Optimization with WALKing Exercise after Stroke (PROWALKS)R01HD086362 · NICHD · UNIVERSITY OF DELAWARE · PI REISMAN, DARCY S. · 2016 to 2020
$4.0M
Behavioral and Neurophysiologic Process of Locomotor Learning After StrokeR01HD078330 · NICHD · UNIVERSITY OF DELAWARE · PI REISMAN, DARCY S. · 2014 to 2025
$3.2M
NICHD NIH HHS R01 HD078330NICHD NIH HHS R01 HD086362
6 · The paper itself

Abstract

Background A single nucleotide polymorphism, Val66Met, in the Brain Derived Neurotrophic Factor (BDNF) gene has been studied for its role in recovery following stroke. Despite this work, the role of BDNF genotype on long-term recovery is unclear. Additionally, no study has examined its impact on functional mobility. As a result, the purpose of this study was to examine the relationship between BDNF genotype and functional mobility in chronic stroke survivors by first accounting for factors related to the Val66Met polymorphism and post-stroke recovery. Methods Participants 6 months post-stroke completed the Fugl-Meyer Lower Extremity Assessment (FMLE), Yesavage Geriatric Depression Scale (YGDS), 10 meter walk test (SSWS), and BDNF genotype testing. A regression model was used to determine if including genotype (Val or Met) and the genotype's interactions with age, gender, and depression increased the model's fit in predicting functional mobility, as measured by SSWS, after accounting for physical impairment (FMLE) and personal information (age, gender, and YGDS). Results Sixty-three subjects, twenty-two percent of whom had at least one Met allele, were included. Impairment and personal information significantly predicted SSWS (R

Indexed as

SurvivorsAdultAgedAged, 80 and overBrain-Derived Neurotrophic FactorFemaleGenotypeHumansMaleMethionineMiddle AgedPolymorphism, Single NucleotideRegression AnalysisSeverity of Illness IndexStrokeValineBrain-Derived Neurotrophic FactorMethionineValinebrain-derived neurotrophic factorfunctiongenotypeprognosisrecoveryStroke

Identifiers

PMID29480080
PMCPMC5901741
OpenAlexW2790776151

What OpenQuestion holds

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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.