Evidence map›Paper›PMID 36425011›Full record

ArticleOrthopaedic journal of sports medicine2022

Relationship Between Diagnostic Anatomic Shoulder Parameters and Degenerative Rotator Cuff Tears: An MRI Study.

Anil Gulcu, Ahmet Aslan, Recep Dincer, Ramadan Özmanevra, Gazi Huri

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In one paragraph

Article in Orthopaedic journal of sports medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

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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

9 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

5 authors.

Anil GulcuDepartment of Orthopedics and Traumatology, Medical School of Alaaddin Keykubat University, Alanya/Antalya, Turkey.
Ahmet AslanDepartment of Orthopedics and Traumatology, Medical School of Alaaddin Keykubat University, Alanya/Antalya, Turkey.
Recep DincerDepartment of Orthopedics and Traumatology, Medical School of Suleyman Demirel University, Isparta, Turkey.
Ramadan ÖzmanevraDepartment of Orthopaedics and Traumatology, Cyprus International University, Nicosia, Cyprus.
Gazi HuriDepartment of Orthopedics and Traumatology, Medical School of Hacettepe University, Ankara, Turkey.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Numerous radiographic measurement methods related to rotator cuff tears (RCTs) have been described. The most widely used of these parameters is the critical shoulder angle (CSA) as measured via radiography. However, magnetic resonance imaging (MRI) measurements provide more accurate results than direct radiography. Purpose: To determine the relationship between anatomic shoulder parameters and RCT type via MRI scans. Study Design: Cross-sectional study; Level of evidence, 3. Methods: The data and physical examination notes of 389 patients were retrospectively analyzed, and 242 patients were included in the study. Patients were divided into 2 groups: those with RCT (n = 127) and those without RCT (control group; n = 115). Using suitable MRI sections, the CSA, lateral acromial angle, acromial index, superior glenoid inclination, acromion-greater tuberosity impingement index, and acromiohumeral distance were compared between the RCT and control groups. The correlation of these shoulder parameters with the presence of RCT was investigated, and the predictive value of each parameter was examined using receiver operating characteristic (ROC) analysis. Results: There were significant positive relationships between the presence of RCT and CSA, acromial index, acromion-greater tuberosity impingement index, and superior glenoid inclination, with the strongest correlation belonging to CSA ( Conclusion: The study outcomes showed that CSA as measured on MRI is the best predictor for determining the presence of RCTs. In patients with shoulder pain attributed to RCT, it may be helpful to examine the CSA on MRI.

Indexed as

acromion morphologyangle indexescritical shoulder anglemagnetic resonance imagingrotator cuff tear

Identifiers

PMID36425011
PMCPMC9679614

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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.