Evidence map›Paper›PMID 32753783›Full record

ArticleJournal of physical therapy science2020

Evaluation of cervical spine muscles thickness in patients with cervical vertigo and healthy controls through ultrasonography.

Ronak Zargar Talebi, Asghar Rezasoltani, Minoo Khalkhalizavieh, Farideh Dehghan Manshadi, Alireza Akbarzadeh Baghban

Open access · diamondAbstract read
In one paragraph

Article in Journal of physical therapy science, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.5field-weighted citation impact, top 38% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. 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

5 authors at 1 institution in 1 country.

Ronak Zargar TalebiDepartment of Physical Therapy, School of Rehabilitation, Shahid Beheshti University of Medical Sciences: Tehran 161679, Iran.
Asghar RezasoltaniDepartment of Physical Therapy, School of Rehabilitation, Shahid Beheshti University of Medical Sciences: Tehran 161679, Iran.
Minoo KhalkhalizaviehDepartment of Physical Therapy, School of Rehabilitation, Shahid Beheshti University of Medical Sciences: Tehran 161679, Iran.
Farideh Dehghan ManshadiDepartment of Physical Therapy, School of Rehabilitation, Shahid Beheshti University of Medical Sciences: Tehran 161679, Iran.
Alireza Akbarzadeh BaghbanDepartment of Physical Therapy, School of Rehabilitation, Shahid Beheshti University of Medical Sciences: Tehran 161679, Iran.
Shahid Beheshti University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

[Purpose] Cervical vertigo as a common complaint is associated with some musculoskeletal disorders. However, to date, ultrasonographical parameters of cervical muscles in patients with cervical vertigo have not been investigated. This study was conducted to investigate size of cervical muscles in patients with cervical vertigo compared to healthy controls. [Participants and Methods] Thicknesses of cervical flexor and extensor muscles were evaluated through ultrasonography and results were compared between the patients and healthy controls by Independent Samples t-test or Mann-Whitney U nonparametric test. [Results] Results showed that, thickness of Longus Colli muscle was significantly different between the patients and healthy controls. [Conclusion] According to findings of the study, size of Longus Colli muscle is likely to be associated with etiology of cervical vertigo.

Indexed as

Cervical vertigoMuscle thicknessMuscle ultrasonography

Identifiers

PMID32753783
PMCPMC7344283
OpenAlexW3039897551

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.