Evidence map›Paper›PMID 27799683›Full record

ArticleJournal of physical therapy science2016

Comparison of abdominal muscle thickness according to feedback method used during abdominal hollowing exercise.

Sangyong Lee, Seulki Han, Daehee Lee

Abstract read
In one paragraph

Article in Journal of physical therapy science, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 2 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

5 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Ultrasound Imaging as a Visual Biofeedback Tool in Rehabilitation: An Updated Systematic Review.International journal of environmental research and public health · 2021
    Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. 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

3 authors.

Sangyong LeeDepartment of Physical Therapy, U1 University, Republic of Korea.
Seulki HanDepartment of Physical Therapy, U1 University, Republic of Korea.
Daehee LeeDepartment of Physical Therapy, U1 University, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

[Purpose] This study was intended to examine the most effective feedback method for contracting the musculus transversus abdominis muscle by using basic training, a pressure biofeedback unit, and real-time ultrasonographic imaging during abdominal hollowing exercise training. [Subjects and Methods] The subjects in this study were 30 healthy young students in their twenties. Thirty subjects were divided randomly and equally into the basic training, the pressure biofeedback unit, and real-time ultrasonographic imaging groups. All of the subjects received abdominal hollowing exercise training for 15 minutes. The subjects in the pressure biofeedback unit group were trained by using a pressure biofeedback unit. Those in the real-time ultrasonographic imaging group received training with monitoring of possible contraction of their musculus transversus abdominis muscles on ultrasonography. [Results] In all the three groups, the musculus transversus abdominis became significantly thicker, but more significantly in the real-time ultrasonographic imaging group than in the basic training group. [Conclusion] The feedback method using real-time ultrasonographic imaging may be more effective in thickening the musculus transversus abdominis muscle during exercise than the traditional feedback method with manual contact only. However, it is insufficient in terms of overall qualitative improvement of exercise outcome.

Indexed as

Pressure biofeedback unitReal-time ultrasonographic imagingTransversus abdominis

Identifiers

PMID27799683
PMCPMC5080165

What OpenQuestion holds

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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.