Evidence map›Paper›PMID 28265150›Full record

ArticleJournal of physical therapy science2017

Applicability of ultrasonography for evaluating trunk muscle size: a pilot study.

Michio Wachi, Tadashi Suga, Takatoshi Higuchi, Jun Misaki, Ryo Tsuchikane, Daichi Tanaka, Yuto Miyake, Tadao Isaka

Abstract read
In one paragraph

Article in Journal of physical therapy science, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–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. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. 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

8 authors.

Michio WachiFaculty of Sport and Health Science, Ritsumeikan University, Japan.
Tadashi SugaFaculty of Sport and Health Science, Ritsumeikan University, Japan; Kanazawa Orthopaedic & Sports Medicine Clinic, Japan.
Takatoshi HiguchiFaculty of Socio-Environmental Studies, Fukuoka Institute of Technology, Japan.
Jun MisakiFaculty of Sport and Health Science, Ritsumeikan University, Japan.
Ryo TsuchikaneFaculty of Sport and Health Science, Ritsumeikan University, Japan.
Daichi TanakaFaculty of Sport and Health Science, Ritsumeikan University, Japan.
Yuto MiyakeFaculty of Sport and Health Science, Ritsumeikan University, Japan.
Tadao IsakaFaculty of Sport and Health Science, Ritsumeikan University, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

[Purpose] Ultrasonography (US) is widely applied to measure the muscle size in the limbs, as it has relatively high portability and is associated with low costs compared with large clinical devices such as magnetic resonance imaging (MRI). However, the applicability of US for evaluating trunk muscle size is poorly understood. This study aimed to examine whether US-measured muscle thickness (MT) in the trunk abdominal and back muscles correlated with MT and muscle cross-sectional area (MCSA) measured by MRI. [Subjects and Methods] Twenty-four healthy young males participated in this study. The MT and MCSA in the subjects were measured by US and MRI in a total of 10 sites, including the bilateral sides of the rectus abdominis (upper, central, and lower parts), abdominal wall, and multifidus lumborum. [Results] The interclass correlation coefficients of US-measured MT on the total 10 sites showed excellent values (n=12, 0.919 to 0.970). The US-measured MT significantly correlated with the MRI-measured MT (

Indexed as

Magnetic resonance imagingMuscle cross-sectional areaMuscle thickness

Identifiers

PMID28265150
PMCPMC5332981

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.