Evidence map›Paper›PMID 38311698›Full record

SynthesisEmergency radiology2024

A meta-analysis on the diagnostic utility of ultrasound in pediatric distal forearm fractures.

Amir Hassankhani, Melika Amoukhteh, Payam Jannatdoust, Parya Valizadeh, Delaram J Ghadimi, Pauravi S Vasavada, Jennifer H Johnston, Ali Gholamrezanezhad

Open access · hybridAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Emergency radiology, 2024. 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
1.1field-weighted citation impact, top 25% 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, 2 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

8 authors at 4 institutions in 2 countries.

Amir HassankhaniDepartment of Radiology, Keck School of Medicine, University of Southern California (USC), 1441 Eastlake Ave Ste 2315, Los Angeles, CA, 90089, USA.
Melika AmoukhtehDepartment of Radiology, Keck School of Medicine, University of Southern California (USC), 1441 Eastlake Ave Ste 2315, Los Angeles, CA, 90089, USA.
Payam JannatdoustSchool of Medicine, Tehran University of Medical Sciences, Tehran, Iran.
Parya ValizadehSchool of Medicine, Tehran University of Medical Sciences, Tehran, Iran.
Delaram J GhadimiSchool of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Pauravi S VasavadaDepartment of Radiology, University Hospitals Case Medical Center, Case Western Reserve University School of Medicine, Cleveland, OH, USA.
Jennifer H JohnstonDepartment of Diagnostic and Interventional Imaging, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX, USA.
Ali GholamrezanezhadDepartment of Radiology, Keck School of Medicine, University of Southern California (USC), 1441 Eastlake Ave Ste 2315, Los Angeles, CA, 90089, USA. Ali.Gholamrezanezhad@med.usc.edu.ORCID http://orcid.org/0000-0001-6930-4246
University of Southern California · USTehran University of Medical Sciences · IRShahid Beheshti University of Medical Sciences · IRUniversity Hospitals Cleveland Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pediatric distal forearm fractures, comprising 30% of musculoskeletal injuries in children, are conventionally diagnosed using radiography. Ultrasound has emerged as a safer diagnostic tool, eliminating ionizing radiation, enabling bedside examinations with real-time imaging, and proving effective in non-hospital settings. The objective of this study is to evaluate the diagnostic efficacy of ultrasound for detecting distal forearm fractures in the pediatric population. A systematic review and meta-analysis were conducted through a comprehensive literature search in PubMed, Scopus, Web of Science, and Embase databases until October 1, 2023, following established guidelines. Eligible studies, reporting diagnostic accuracy measures of ultrasound in pediatric patients with distal forearm fractures, were included. Relevant data elements were extracted, and data analysis was performed. The analysis included 14 studies with 1377 patients, revealing pooled sensitivity and specificity of 94.5 (95% CI 92.7-95.9) and 93.5 (95% CI 89.6-96.0), respectively. Considering pre-test probabilities of 25%, 50%, and 75% for pediatric distal forearm fractures, positive post-test probabilities were 83%, 44%, and 98%, while negative post-test probabilities were 2%, 6%, and 15%, respectively. The bivariate model indicated significantly higher diagnostic accuracy in the subgroup with trained ultrasound performers vs. untrained performers (p = 0.03). Furthermore, diagnostic accuracy was significantly higher in the subgroup examining radius fractures vs. ulna fractures (p < 0.001), while no significant differences were observed between 4-view and 6-view ultrasound subgroups or between radiologist ultrasound interpreters and non-radiologist interpreters. This study highlighted ultrasound's reliability in detecting pediatric distal forearm fractures, emphasizing the crucial role of expertise in precisely confirming fractures through ultrasound examinations.

Indexed as

Radius FracturesUlna FracturesUltrasonographyChildForearm InjuriesHumansSensitivity and SpecificityWrist FracturesForearmPediatricsRadius fracturesUlna fracturesUltrasonography

Identifiers

PMID38311698
PMCPMC10994871
OpenAlexW4391537638

What OpenQuestion holds

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LicenceCC BY
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.