Evidence map›Paper›PMID 34976329›Full record

ArticleJournal of healthcare engineering2021

Application of Ultrasound Diagnosis Technology Based on Statistical Analysis in Rehabilitation Treatment of Shoulder Sports Injuries.

Huiyu Duan, Shenglong Xun, Yusong Teng, Gong Zhang

Open access · hybridAbstract read
In one paragraph

Article in Journal of healthcare engineering, 2021. 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
0.8field-weighted citation impact, top 25% 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, 5 citations in OpenAlex.

  1. Article
  2. Review
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

4 authors at 2 institutions in 1 country.

Huiyu DuanDepartment of Physical Education, Inner Mongolia University of Technology, Hohhot 010051, China.ORCID 0000-0003-3444-7399
Shenglong XunDepartment of Physical Education, Inner Mongolia University of Technology, Hohhot 010051, China.ORCID 0000-0002-2202-9942
Yusong TengSchool of Physical Education, Liaoning Normal University, Dalian 116029, China.ORCID 0000-0001-5250-5009
Gong ZhangInstitute of Foreign Language Inner Mongolia University of Technology, Hohhot 010051, China.ORCID 0000-0002-0830-061X
Inner Mongolia University of Technology · CNLiaoning Normal University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study uses statistics to analyze the diagnostic significance of ultrasonic exploration for rotator cuff injuries. Methods: For this study, 50 patients with rotator cuff injury or shoulder impingement syndrome admitted to the hospital from September 2017 to January 2019 were selected as the targets of this discussion. The general clinical materials of the patients were retrospectively analyzed, and ultrasound was performed for them. The results of the examination and arthroscopy are compared with the final pathological results. Results: The diagnostic sensitivity of ultrasound in the diagnosis of partial rupture and complete rupture of the supraspinatus tendon was 100%, and the specificity was 55.55%. The diagnostic sensitivity of partial rupture and complete rupture of the subscapular tendon was 100%, and the specificity was 42.8%; there was no significant difference compared with the joint mirror examination, and there was no statistical significance. Conclusion: The thesis adopts ultrasound exploration for patients with rotator cuff injuries with high diagnostic sensitivity. It is a reliable and effective clinical diagnosis method, which is worthy of clinical application and promotion.

Indexed as

Athletic InjuriesRotator Cuff InjuriesShoulder JointHumansMagnetic Resonance ImagingRetrospective StudiesSensitivity and SpecificityShoulderTechnology

Identifiers

PMID34976329
PMCPMC8716241
OpenAlexW4200193498

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.