Evidence map›Paper›PMID 30207860›Full record

ArticleJournal of neurophysiology2019

Motor imagery in multiple sclerosis: exploring applications in therapeutic treatment.

Moriah Hanson, Maura Concialdi

Abstract readComment
PubMed Publisher
In one paragraph

Article in Journal of neurophysiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
–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

9 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Effectiveness of Motor Imagery on Motor Recovery in Patients with Multiple Sclerosis: Systematic Review.International journal of environmental research and public health · 2021
    Pooled it
  2. Trial
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Moriah HansonDepartment of Health and Exercise Science, Colorado State University , Fort Collins, Colorado.
Maura ConcialdiDepartment of Health and Exercise Science, Colorado State University , Fort Collins, Colorado.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Motor imagery (MI) is a promising rehabilitation technique that has received significant interest for use in persons with multiple sclerosis (MS). Through alterations in neural networks, MI has the potential to improve measures of walking speed, walking distance, and fatigue in people with MS. Further research is required to assess the validity of MI in conjunction with other therapeutic MS treatments and provide objective outcome measures of motor improvements.

Indexed as

cuedmotor imagerymultiple sclerosisneurorehabilitation

Identifiers

PMID30207860

What OpenQuestion holds

Textmetadata
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.