Evidence map›Paper›PMID 41018839›Full record

ArticleJournal of medical ultrasound

Evaluation of the Gliding of Posterior Elbow Fat Pad Using Ultrasonography and Particle Image Velocimetry.

Takeyuki Kato, Yasushi Fukuda, Yoshiaki Kubo, Hiroto Kobune, Norihumi Sadamura, Koji Koyama

Abstract read
In one paragraph

Article in Journal of medical ultrasound. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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

3 citing papers in PubMed.

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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

6 authors.

Takeyuki KatoGraduate School of Health Science, Tokyo Ariake University of Medical and Health Science, Tokyo, Japan.
Yasushi FukudaGraduate School of Health Science, Tokyo Ariake University of Medical and Health Science, Tokyo, Japan.
Yoshiaki KuboGraduate School of Health Science, Tokyo Ariake University of Medical and Health Science, Tokyo, Japan.
Hiroto KobuneGraduate School of Health Science, Tokyo Ariake University of Medical and Health Science, Tokyo, Japan.
Norihumi SadamuraDepartment of Rehabilitation, AR-Ex Oyamadai Orthopedic Clinic Tokyo Arthroscopy Center, Tokyo, Japan.
Koji KoyamaGraduate School of Health Science, Tokyo Ariake University of Medical and Health Science, Tokyo, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Previous studies have utilized ultrasonography (US) to dynamically evaluate Kager's and infrapatellar fat pads. However, limited research has focused on the dynamic assessment of the posterior fat pad of the elbow joint, and its correlation with elbow pain remains unclear. Therefore, this study aimed to investigate the gliding of the posterior elbow fat pad in healthy patients using US. Methods: US was performed on 40 healthy patients. The patients were placed in a sitting position with the upper limb on the bed; they performed an automatic movement from 90° flexion to full extension of the elbow joint for 2 s following a fixed rhythm using a digital timer. Moving images of the fat pad gliding were analyzed for the direction of movement and gliding velocity using particle image velocimetry. Statistical analyses were performed using Friedman test. Results: The posterior fat pad glided into the olecranon fossa within the range of 0%-50% elbow extension. At 50% extension, the posterior fat pad showed a proximal posterior direction of movement. A significant increase in sliding velocity was observed from 0% to 50% extension ( Conclusion: Our results indicate that the velocity and direction of gliding of the fat pad behind the elbow joint in healthy patients vary with changes in the elbow joint extension angle. US proves to be a valuable tool for evaluating the posterior elbow fat pad.

Indexed as

Fat padparticle image velocimetryultrasonography

Identifiers

PMID41018839
PMCPMC12463374

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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.