Evidence map›Paper›PMID 31076880›Full record

ArticleEuropean archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery2019

Evaluation of Yanagihara facial nerve grading system based on a muscle fiber analysis of human facial muscles.

Kumiko Sekikawa, Hiroshi Moriyama, Hidenobu Miyaso, Takuya Osada, Ryuichi Ueno, Naruhito Otsuka, Masahiro Itoh

Open access · hybridAbstract read
In one paragraph

Article in European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 48% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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

7 authors at 3 institutions in 1 country.

Kumiko SekikawaDepartment of Anatomy, Tokyo Medical University, Tokyo, Japan.
Hiroshi MoriyamaDepartment of Anatomy, Tokyo Medical University, Tokyo, Japan. veloce@med.showa-u.ac.jp.ORCID http://orcid.org/0000-0002-9985-924X
Hidenobu MiyasoDepartment of Anatomy, Tokyo Medical University, Tokyo, Japan.
Takuya OsadaRehabilitation Center, Tokyo Medical University Hospital, Tokyo, Japan.
Ryuichi UenoRehabilitation Center, Tokyo Medical University Hospital, Tokyo, Japan.
Naruhito OtsukaDepartment of Anatomy, Showa University School of Medicine, 5-8, Hatanodai 1, Shinagawa-ku, Tokyo, 142-8555, Japan.
Masahiro ItohDepartment of Anatomy, Tokyo Medical University, Tokyo, Japan.
Tokyo Medical University · JPShowa University · JPTokyo Medical University Hospital · JP

Funding

Grant-in-aid for Scientific Research from the Ministry of Education, Culture, Sports, Science and Technology of Japan B14370007
6 · The paper itself

Abstract

purposeWe morphometrically analyzed human facial muscles, and evaluated the Yanagihara facial nerve grading system using our data.

methodsWe used 15 types of human facial muscle, 2 types of masticatory muscle and 2 types of skeletal muscle. The materials were obtained from 11 Japanese male cadavers aged 43-86 years. We counted the muscle fibers and measured the transverse area of the muscle fibers (TAMF), and then calculated the number of muscle fibers (NMF) per mm

resultsWe found a significant correlation between average TAMF and NMF (r = - 0.70; p < 0.01). We classified facial muscles into three types based on the correlational results. Type A had a low average TAMF and high NMF. Type C had a high average TAMF and low NMF. Masticatory and skeletal muscles were characterized as Type C. Type B was intermediate between Types A and C.

conclusionsPathological changes in the facial muscles in facial nerve palsy seem to vary according to the type of facial muscle, because each facial muscle has a unique fiber-type composition. As the nine discrete facial expressive states evaluated in the Yanagihara system involve all three facial muscle types of our classification, the Yanagihara system is an outstanding system for grading facial nerve palsy in terms of the facial muscle morphology.

Indexed as

Facial MusclesFacial ParalysisAdultAgedCadaverFaceFacial NerveHumansMaleMiddle AgedPathology, ClinicalFacial muscleMorphometryMuscle fiberYanagihara facial nerve grading system

Identifiers

PMID31076880
PMCPMC6581922
OpenAlexW2944690311

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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.