Evidence map›Paper›PMID 37537571›Full record

ArticleBMC musculoskeletal disorders2023

Anatomical study of type classification and surface area of attachment sites for tibialis anterior tendon.

Tomoki Hirai, Mutsuaki Edama, Ryoya Togashi, Haruki Osanami, Rina Saito, Koyo Kato, Mayuu Shagawa, Chie Sekine, Hirotake Yokota, Ryo Hirabayashi and 5 more

Open access · goldAbstract read
In one paragraph

Article in BMC musculoskeletal disorders, 2023. 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
0.2field-weighted citation impact, top 49% 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, 1 citations in OpenAlex.

  1. Article
  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

15 authors at 2 institutions in 1 country.

Tomoki HiraiInstitute for Human Movement and Medical Sciences, Niigata University of Health and Welfare, Shimami-Cho, 1398, Kita-Ku, Niigata City, Niigata, 950-3198, Japan.
Mutsuaki EdamaInstitute for Human Movement and Medical Sciences, Niigata University of Health and Welfare, Shimami-Cho, 1398, Kita-Ku, Niigata City, Niigata, 950-3198, Japan. edama@nuhw.ac.jp.ORCID http://orcid.org/0000-0002-2784-6466
Ryoya TogashiInstitute for Human Movement and Medical Sciences, Niigata University of Health and Welfare, Shimami-Cho, 1398, Kita-Ku, Niigata City, Niigata, 950-3198, Japan.
Haruki OsanamiInstitute for Human Movement and Medical Sciences, Niigata University of Health and Welfare, Shimami-Cho, 1398, Kita-Ku, Niigata City, Niigata, 950-3198, Japan.
Rina SaitoInstitute for Human Movement and Medical Sciences, Niigata University of Health and Welfare, Shimami-Cho, 1398, Kita-Ku, Niigata City, Niigata, 950-3198, Japan.
Koyo KatoInstitute for Human Movement and Medical Sciences, Niigata University of Health and Welfare, Shimami-Cho, 1398, Kita-Ku, Niigata City, Niigata, 950-3198, Japan.
Mayuu ShagawaInstitute for Human Movement and Medical Sciences, Niigata University of Health and Welfare, Shimami-Cho, 1398, Kita-Ku, Niigata City, Niigata, 950-3198, Japan.
Chie SekineInstitute for Human Movement and Medical Sciences, Niigata University of Health and Welfare, Shimami-Cho, 1398, Kita-Ku, Niigata City, Niigata, 950-3198, Japan.
Hirotake YokotaInstitute for Human Movement and Medical Sciences, Niigata University of Health and Welfare, Shimami-Cho, 1398, Kita-Ku, Niigata City, Niigata, 950-3198, Japan.
Ryo HirabayashiInstitute for Human Movement and Medical Sciences, Niigata University of Health and Welfare, Shimami-Cho, 1398, Kita-Ku, Niigata City, Niigata, 950-3198, Japan.
Tomonobu IshigakiInstitute for Human Movement and Medical Sciences, Niigata University of Health and Welfare, Shimami-Cho, 1398, Kita-Ku, Niigata City, Niigata, 950-3198, Japan.
Hiroshi AkuzawaInstitute for Human Movement and Medical Sciences, Niigata University of Health and Welfare, Shimami-Cho, 1398, Kita-Ku, Niigata City, Niigata, 950-3198, Japan.
Yuki YamadaInstitute for Human Movement and Medical Sciences, Niigata University of Health and Welfare, Shimami-Cho, 1398, Kita-Ku, Niigata City, Niigata, 950-3198, Japan.
Taku ToriumiDepartment of Anatomy, School of Life Dentistry at Niigata, Nippon Dental University, Niigata, Japan.
Ikuo KageyamaDepartment of Anatomy, School of Life Dentistry at Niigata, Nippon Dental University, Niigata, Japan.
Niigata University of Health and Welfare · JPNippon Dental University · JP

Funding

a Grant-in-Aid for Scientific Research JP22K19739
6 · The paper itself

Abstract

backgroundThe purpose of this study was to clarify the attachment types of the tibialis anterior tendon (TAT) in Japanese fixed cadavers and to determine the attachment site area in three dimensions.

methodsWe examined 100 feet from 50 Japanese cadavers. The TAT was classified according to differences in the number of fiber bundles as: Type I, with one fiber bundle; Type II, with two fiber bundles; and Type III, with three fiber bundles. The attachment site area of the TAT was measured using a three-dimensional scanner.

resultsCases were Type II in 95% and Type III in 5%, with no cases of Type I identified. In Type II, mean attachment site areas were 85.2 ± 18.2 mm

conclusionsThese findings suggest the possibility of ethnic differences in TAT attachment types and suggest that TAT attachments in Japanese individuals are highly likely to be Type II, with rare cases of Type III. Accurate measurement of attachment site areas is possible with appropriate three-dimensional measurements.

Indexed as

Muscle, SkeletalTendonsAnkleCadaverFootHumansAttachment site areaFirst metatarsal boneMedial cuneiform boneThree-dimensionalTibialis anterior tendon

Identifiers

PMID37537571
PMCPMC10401820
OpenAlexW4385554195

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.