Evidence map›Paper›PMID 35431312›Full record

ReviewMedical science monitor : international medical journal of experimental and clinical research2022

Role of Diffusion Tensor Tractography in Diagnosis of Limb-Kinetic Apraxia in Stroke Patients: A Mini-Narrative Review.

Sung Ho Jang, Dong Hyun Byun

Open access · hybridAbstract readReview
In one paragraph

Review in Medical science monitor : international medical journal of experimental and clinical research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.1field-weighted citation impact, top 56% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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

2 authors at 1 institution in 1 country.

Sung Ho JangDepartment of Physical Medicine and Rehabilitation, College of Medicine, Yeungnam University, Taegu, South Korea.ORCID 0000-0001-6383-5505
Dong Hyun ByunDepartment of Physical Medicine and Rehabilitation, College of Medicine, Yeungnam University, Taegu, South Korea.ORCID 0000-0003-4537-6813
Yeungnam University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Limb-kinetic apraxia (LKA) is an execution disorder of movements caused by an injury to the secondary motor area (the supplementary motor area and premotor cortex) with preservation of an intact corticospinal tract (CST). A precise diagnosis of LKA is often limited because it is made based on the clinical observation of movement characteristics with confirmation of the CST state, and no specific clinical assessment tools for LKA have been developed. Diffusion tensor tractography (DTT) enables a three-dimensional estimation of the neural tracts related to LKA, such as the CST and corticofugal tract from the secondary motor area. This article reviewed 5 DTT-based studies on LKA-related neural tracts in stroke patients. These studies suggest that DTT could be a useful diagnostic tool for LKA along with previous diagnostic tools, such as brain magnetic resonance imaging and transcranial magnetic stimulation. In particular, DTT for the affected corticofugal tract can provide useful evidence for diagnosing LKA when clinicians cannot observe the movement characteristics because of severe weakness after a severe injury to the affected CST. Furthermore, a reviewed study suggested that LKA might be related to the unaffected neural tracts for motor function when the affected neural tracts were severely injured. This review summarizes the role of DTT in the diagnosis of LKA in stroke patients.

Indexed as

ApraxiasMotor CortexStrokeDiffusion Tensor ImagingHumansPyramidal Tracts

Identifiers

PMID35431312
PMCPMC9027917
OpenAlexW4224144124

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.