Evidence map›Paper›PMID 38097765›Full record

ReviewSkeletal radiology2024

Upper extremity infection: imaging features with focus on magnetic resonance imaging.

Tatiane Cantarelli Rodrigues, Atul Kumar Taneja, Abdalla Skaf, Ivan Rodrigues Barros Godoy

Erratum issuedAbstract readReview
PubMed Publisher
In one paragraph

Review in Skeletal radiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Tatiane Cantarelli RodriguesDepartment of Radiology, Hospital Do Coração (HCor), Rua Desembargador Eliseu Guilherme, 53, 7Th Floor. CEP, São Paulo, SP, 04004-030, Brazil.
Atul Kumar TanejaDepartment of Radiology, UT Southwestern Medical Center, Dallas, TX, USA.
Abdalla SkafDepartment of Radiology, Hospital Do Coração (HCor), Rua Desembargador Eliseu Guilherme, 53, 7Th Floor. CEP, São Paulo, SP, 04004-030, Brazil.
Ivan Rodrigues Barros GodoyDepartment of Radiology, Hospital Do Coração (HCor), Rua Desembargador Eliseu Guilherme, 53, 7Th Floor. CEP, São Paulo, SP, 04004-030, Brazil. ivanrbgodoy@gmail.com.ORCID http://orcid.org/0000-0001-9218-8175

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Upper extremity infections are frequently seen, especially in individuals with weakened immune system, posttraumatic events, and after surgery procedures. If not properly treated, such conditions can lead to serious consequences, such as movement impairment, amputation, and even mortality. These infections have the potential to spread extensively from their initial site of entry, traversing interconnected spaces either intra or extra-compartmental. Understanding the relevant anatomy is crucial to assess location and stage of infection, since surgical intervention and intravenous antibiotics are usually required. In this article, the authors provide a comprehensive review of the imaging findings of upper extremity infection, focusing on magnetic resonance imaging (MRI). Furthermore, this article sheds light on the pivotal role of radiology in managing hand, elbow, and shoulder infections offering an overview of available treatment options. KEY

findingsVarious types of infections affecting the upper extremity will be discussed, including infectious tenosynovitis, deep space infections, septic arthritis, and osteomyelitis. Authors also highlight anatomical spaces, common pathogens, spread routes, and key radiological features of these conditions.

Indexed as

Magnetic Resonance ImagingUpper ExtremityArthritis, InfectiousHumansOsteomyelitisTenosynovitisBacteriaElbowFungusHandInfectionMRIShoulderWrist

Identifiers

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.