Evidence map›Paper›PMID 32671656›Full record

ArticleJournal of ultrasound2022

Ultrasound-aided diagnosis of septic arthritis of the elbow in the emergency department.

Pablo Blanco, María Fernanda Menéndez, Liliana Figueroa, Juan Provasi, Michael Blaivas

Open access · greenAbstract readCase Reports
In one paragraph

Article in Journal of ultrasound, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
1.0field-weighted citation impact, top 23% 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

0 citing papers in PubMed, 8 citations in OpenAlex.

No citing paper in PubMed yet.

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 at 3 institutions in 2 countries.

Pablo BlancoDepartment of Teaching and Research, Hospital "Dr. Emilio Ferreyra", 59 Ave. 7630, 4801, Necochea, Argentina. ohtusabes@gmail.com.ORCID http://orcid.org/0000-0001-8402-1092
María Fernanda MenéndezIntensive Care Unit, Hospital "Dr. Emilio Ferreyra", 59 Ave., 7630, 4801, Necochea, Argentina.
Liliana FigueroaDepartment of Teaching and Research, Hospital "Dr. Emilio Ferreyra", 59 Ave. 7630, 4801, Necochea, Argentina.
Juan ProvasiDepartment of Traumatology, Hospital "Dr. Emilio Ferreyra", 59 Ave., 7630, 4801, Necochea, Argentina.
Michael BlaivasDepartment of Emergency Medicine, University of South Carolina School of Medicine, St Francis Hospital, Columbus, GA, USA.
Instituto de Investigación Médica Mercedes y Martín Ferreyra · ARHospital Fernández · ARUniversity of South Carolina · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Septic arthritis (SA) is an emergency orthopedic condition that carries significant patient morbidity and mortality. Clinical data and blood test analyses are fairly unreliable in making the diagnosis and, therefore, utilizing a feasible and reliable diagnostic tool is desirable, particularly in emergency settings where rapid diagnosis is pivotal. Here, we report the case of a 58-year-old male presenting to the emergency department with a swollen elbow. After demonstration of a large articular effusion with point-of-care ultrasound, the synovial fluid analysis was compatible with SA. The patient was treated with elbow arthrotomy and systemic antibiotics and discharged shortly thereafter, uneventfully. Finally, we discuss the impact of ultrasound in diagnosing SA and the many advantages that make it the first-line tool in urgent care.

Indexed as

Arthritis, InfectiousElbow JointElbowEmergency Service, HospitalHumansMaleMiddle AgedSynovial FluidArthrocentesisPoint-of-careSeptic arthritisUltrasound

Identifiers

PMID32671656
PMCPMC9148349
OpenAlexW3043485523

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.