Evidence map›Paper›PMID 35795614›Full record

ArticleScanning2022

Observation on the Effect of Shoulder Pain Caused by Volleyball Training Injury Based on MRI Image Scanning.

Kesen Li, Nan Fu

RetractedOpen access · hybridAbstract readRetracted Publication
In one paragraph

Article in Scanning, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.1field-weighted citation impact, top 50% 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, 1 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors at 2 institutions in 1 country.

Kesen LiDianchi College of Yunnan University, Yunnan Kunming 650228, China.ORCID https://orcid.org/0000-0002-8134-9233
Nan FuYunnan Technology and Business University, Yunnan Kunming 650217, China.ORCID https://orcid.org/0000-0002-6048-6298
Wuhan Technology and Business University · CNYunnan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In order to observe the effect of MRI image scanning on shoulder pain caused by volleyball training injury, this paper proposes to analyze the value of MR arthrography and conventional MRI image scanning in the diagnosis of shoulder injury. Taking the female volleyball players in a no. 1 middle school for nearly ten years as the research object, the injury investigation and statistics were carried out. The shoulder joint injury was investigated using arthroscopy and no injury was found. All patients underwent MR arthrography and routine MRI image scanning after admission. All patients underwent MR arthrography and routine MRI image scanning after admission. The patient took the flat lying position and put their arms flat on both sides of the body, and the Philips Achieva 3.0T MRI image scanning and Sense Flex M soft coil for MRI image scanning detection were used. The plain scan included oblique sagittal, axial, and oblique coronal proton density weighted image sequences; echo chain ETL = 6, TR/TE 2300/25 ms; and oblique sagittal and oblique coronal SET1W1; TRTE is 400/10 ms. Comparison was made with regard to the sensitivity, specificity, Jordan index, and accuracy of MR arthrography versus conventional MRI imaging in the diagnosis of shoulder injuries. The results were 38 true positives, 19 true negatives, 1 false positive, and 2 false negatives; a normal MRI scan showed 33 true positives, 13 true negatives, 7 false positives, and 7 false negatives. MR arthrography is more accurate than MRI image scanners in the diagnosis of shoulder injuries.

Indexed as

Shoulder InjuriesVolleyballArthrographyFemaleHumansMagnetic Resonance ImagingShoulder Pain

Identifiers

PMID35795614
PMCPMC9152345
OpenAlexW4281382507

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.