Evidence map›Paper›PMID 32333035›Full record

ReviewDer Radiologe2020

[Fracture diagnosis: upper extremities : Shoulder and shoulder girdle].

Christian von Falck, Nael Hawi

Abstract readReview
PubMed Publisher
In one paragraph

Review in Der Radiologe, 2020. 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
0.1field-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

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

2 authors at 1 institution in 1 country.

Christian von FalckInstitut für Diagnostische und Interventionelle Radiologie, Medizinische Hochschule Hannover, Carl-Neuberg-Straße 1, 30625, Hannover, Deutschland. Falck.Christian.von@mh-hannover.de.
Nael HawiUnfallchirurgische Klinik, Medizinische Hochschule Hannover, Hannover, Deutschland.
Medizinische Hochschule Hannover · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe shoulder girdle is a chain of bones and joints which connect the upper extremity to the axial skeleton. The shoulder as a biomechanical unit has a remarkable range of motion and is therefore frequently prone to injuries of the three major joints (sternoclavicular joint, acromioclavicular joint, glenohumeral joint) and the bony elements (clavicle, scapula, humerus). Projection radiography is still the first imaging modality for injuries of the shoulder and usually sufficient for initial diagnosis and injury classification. Computed tomography (including 3D reconstructions) and magnetic resonance imaging provide additional useful information for the detection of accompanying soft-tissue injury, for surgical planning and in cases of complex anatomy (e.g., scapular fractures). PURPOSE: We aim to describe the fundamentals of injuries of the shoulder girdle and the proximal humerus with special emphasis on radiological diagnostics. MATERIALS AND

methodsA selective PubMed literature search was performed using the following terms: "sternoclavicular joint dislocation", "clavicle fracture", "acromioclavicular joint injury", "scapular fracture", "shoulder dislocation", "proximal humerus fracture", and "shoulder girdle injuries".

resultsThe article describes the basics of the anatomy, the trauma mechanism and the epidemiology of the most common injuries of the shoulder girdle and the proximal humerus. Special emphasis is given to radiological diagnostics, including basic projection radiography and advanced cross-sectional imaging.

Indexed as

Acromioclavicular JointFractures, BoneShoulder JointClavicleHumansScapulaShoulderAnatomyClassificationJoint dislocationsShoulder jointX‑ray image

Identifiers

PMID32333035
OpenAlexW3019259538

What OpenQuestion holds

Textmetadata
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.