Evidence map›Paper›PMID 34108761›Full record

ArticleRadiologia brasileira

Evaluation of variations of the glenoid attachment of the inferior glenohumeral ligament by magnetic resonance arthrography.

Marcelo Novelino Simão, Maximilian Jokiti Kobayashi, Matheus de Andrade Hernandes, Marcello Henrique Nogueira-Barbosa

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Article in Radiologia brasileira. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.4field-weighted citation impact, top 38% 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, 6 citations in OpenAlex.

  1. 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

4 authors at 3 institutions in 2 countries.

Marcelo Novelino SimãoCentral Diagnóstico de Ribeirão Preto (Cedirp), Ribeirão Preto, SP, Brazil.ORCID 0000-0002-2164-1910
Maximilian Jokiti KobayashiDigimax Medicina Diagnóstica, Caçador, SC, Brazil.ORCID 0000-0001-5888-5081
Matheus de Andrade HernandesCentral Diagnóstico de Ribeirão Preto (Cedirp), Ribeirão Preto, SP, Brazil.ORCID 0000-0002-2244-5532
Marcello Henrique Nogueira-BarbosaHospital das Clínicas da Faculdade de Medicina de Ribeirão Preto da Universidade de São Paulo (HCFMRP-USP), Ribeirão Preto, SP, Brazil.ORCID 0000-0002-7436-5315
Universidade de Ribeirão Preto · BRDigimarc (United States) · USUniversidade de São Paulo · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo evaluate the anatomical variations of the attachment of the inferior glenohumeral ligament (IGHL) to the anterior glenoid rim. MATERIALS AND

methodsThis was a retrospective review of 93 magnetic resonance arthrography examinations of the shoulder. Two radiologists, who were blinded to the patient data and were working independently, read the examinations. Interobserver and intraobserver agreement were evaluated. The pattern of IGHL glenoid attachment and its position on the anterior glenoid rim were recorded.

resultsIn 50 examinations (53.8%), the glenoid attachment was classified as type I (originating from the labrum), whereas it was classified as type II (originating from the glenoid neck) in 43 (46.2%). The IGHL emerged at the 4 o'clock position in 58 cases (62.4%), at the 3 o'clock position in 14 (15.0%), and at the 5 o'clock position in 21 (22.6%). The rates of interobserver and intraobserver agreement were excellent.

conclusionAlthough type I IGHL glenoid attachment is more common, we found a high prevalence of the type II variation. The IGHL emerged between the 3 o'clock and 5 o'clock positions, most commonly at the 4 o'clock position.

Indexed as

Ligaments, articular/anatomy & histologyMagnetic resonance imagingShoulder

Identifiers

PMID34108761
PMCPMC8177672
OpenAlexW3172510728

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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.