Evidence map›Paper›PMID 35879527›Full record

ArticleMedical & biological engineering & computing2022

Investigation of variation factors in EMG measurement of swallowing: instruction can improve EMG reproducibility.

Nobuyuki Ohmori, Seiichi Watanabe, Hideya Momose, Hiroshi Endo, Manabu Chikai, Shuichi Ino

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Article in Medical & biological engineering & computing, 2022. 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
–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

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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.

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4 · The record

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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

6 authors.

Nobuyuki OhmoriNagano Prefecture General Industrial Technology Center, Nagano, Japan. omori-nobuyuki-r@pref.nagano.lg.jp.ORCID http://orcid.org/0000-0002-1907-9391
Seiichi WatanabeNational Institute of Technology, Nagano College, Nagano, Japan.
Hideya MomoseSKINOS Co., Ltd., Ueda, Japan.
Hiroshi EndoNational Institute of Advanced Industrial Science and Technology (AIST), Tsukuba, Japan.
Manabu ChikaiNational Institute of Advanced Industrial Science and Technology (AIST), Tsukuba, Japan.
Shuichi InoGraduate School of Engineering Osaka University, Osaka, Japan.

Funding

Japan Society for the Promotion of Science 19K12887Japan Society for the Promotion of Science 20H04567Japan Society for the Promotion of Science 20K11929Japan Society for the Promotion of Science JP17H00755Ministry of Internal Affairs and Communications SCOPE
6 · The paper itself

Abstract

Variability in swallowing electromyography (EMG) has been reported to occur due to individual differences, even in studies with appropriate control of factors affecting EMG such as food type, properties, and posture. The increased variability broadens the confidence intervals of measures obtained from EMG, such as time and amplitude, and makes it difficult to detect differences in muscle activity. This makes it impossible to detect slight changes in swallowing function at an early stage, which is required for clinical examination. In this study, we focused on the tipper type and dipper type of oral swallows, which differ in the timing of muscle activity. The frequency of occurrence of both types varies between participants, and both types could occur in the same participant. In this study, we measured swallowing EMG wherein participants were instructed to swallow with a tipper and a dipper. The results showed that there was a significant difference in the between-participant duration between these two types of swallows. Within-participant variability was significantly lower in the tipper-dipper instruction condition compared to the baseline condition, which assumed a mixture of tipper-dipper swallowing. These results demonstrate that instructions on swallowing method are effective in improving the reproducibility of EMG.

Indexed as

DeglutitionElectromyographyHumansReproducibility of ResultsBiological variationDeglutitionElectromyographyMusclesReproducibility of results

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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.