Evidence map›Paper›PMID 33519071›Full record

ArticleJournal of physical therapy science2021

Intra-rater reliability of measurement of abdominal perimuscular connective tissue thickness on ultrasound images.

Wataru Nanikawa, Junya Miyazaki

Open access · diamondAbstract read
In one paragraph

Article in Journal of physical therapy science, 2021. 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
0.6field-weighted citation impact, top 32% 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, 4 citations in OpenAlex.

  1. Review
  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

2 authors at 2 institutions in 1 country.

Wataru NanikawaDepartment of Physical Therapy, Faculty of Health Science, Aino University: 4-5-4 Higashioda, Ibaraki-shi, Osaka 567-0012, Japan.
Junya MiyazakiDepartment of Physical Therapy, Faculty of Health Science, Kyoto Tachibana University, Japan.
Aino University · JPKyoto Tachibana University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

[Purpose] The thickness of the perimuscular connective tissue (PMCT) reflects muscular atrophy and decreased flexibility that may cause low back pain. However, few studies have used ultrasound imaging to measure PMCT thickness. We aimed to examine and confirm the reliability of ultrasound in measuring the thickness of the PMCT of the abdominal wall muscle. [Participants and Methods] The participants were 38 healthy adult males without chronic back pain. The images were acquired in B mode with the participants in the supine position and the PMCT thickness of the abdominal wall muscle was measured on the images. The intraclass correlation coefficient (ICC) was used to confirm reliability. [Results] The ICC for both within-day and between-day PMCT measurements by ultrasound were 0.7-0.9. The 95% confidence interval ranged from 0.5-0.9. The standard error of measurement (SEM) was 0.02-0.1 mm in the abdominal wall muscle and 0.5 mm in the interrecti distance (IRD). The 95% confidence interval (95% CI) of the minimum detectable change (MDC95) was 0.1-0.3 mm in the abdominal wall muscle and 1.3-1.4 mm in the IRD. [Conclusion] We conducted a study to confirm the reliability of ultrasound-based measurement of PMCT thickness of the abdominal wall muscle, and the ICC results established reliability. However, since the values measured were small (0.02-1.4 mm) and there is a limit to visual observation, it was necessary to measure using computer software.

Indexed as

Perimuscular connective tissueReliabilityUltrasound measurement

Identifiers

PMID33519071
PMCPMC7829557
OpenAlexW3120273452

What OpenQuestion holds

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LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

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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.