Evidence map›Paper›PMID 36937618›Full record

ArticleAfrican journal of emergency medicine : Revue africaine de la medecine d'urgence2023

Comparative study of National Emergency X-Radiography Utilization Study (NEXUS) chest algorithm and extended focused assessment with sonography for trauma (E-FAST) in the early detection of blunt chest injuries in polytrauma patients.

Yasmin Z Attia, Nashwa M Abd Elgeleel, Hazem M El-Hariri, Gouda M Ellabban, Maged El-Setouhy, Jon Mark Hirshon, Adel H Elbaih, Mohamed El-Shinawi

Open access · goldAbstract read
In one paragraph

Article in African journal of emergency medicine : Revue africaine de la medecine d'urgence, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
1.9field-weighted citation impact, top 15% 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 synthesis or guideline pooled it, 9 citations in OpenAlex.

  1. Pooled it
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 3 countries.

Yasmin Z AttiaEmergency Medicine Department, Suez Canal University, Ismailia, Egypt.
Nashwa M Abd ElgeleelEmergency Medicine Department, Suez Canal University, Ismailia, Egypt.
Hazem M El-HaririCommunity Medicine Department, National Research Centre, Cairo, Egypt.
Gouda M EllabbanGeneral Surgery Department, Suez Canal University, Ismailia.
Maged El-SetouhyDepartment of Family and Community Medicine, Faculty of Medicine, Jazan University, Jazan, Saudi Arabia.
Jon Mark HirshonDepartment of Emergency Medicine, University of Maryland School of Medicine, Baltimore, MD, United States of America.
Adel H ElbaihEmergency Medicine Department, Suez Canal University, Ismailia, Egypt.
Mohamed El-ShinawiDepartment of Emergency Medicine, University of Maryland School of Medicine, Baltimore, MD, United States of America.
Suez Canal University · EGAin Shams University · EGNational Research Centre · EGUniversity of Maryland, Baltimore · US

Funding

INJURY PREVENTION TRAINING IN EGYPT AND THE MIDDLE EASTD43TW007296 · FIC · UNIVERSITY OF MARYLAND BALTIMORE · PI HIRSHON, JON MARK · 2005 to 2020
$3.5M
FIC NIH HHS D43 TW007296
6 · The paper itself

Abstract

Introduction: Chest imaging plays a prominent role in the assessment of patients with blunt trauma. Selection of the right approach at the right time is fundamental in the management of patients with blunt chest trauma Objective: The aim of this study was to compare the accuracy of extended- focused assessment with sonography for trauma (E-FAST) to that of the National Emergency X-Radiography Utilisation Study (NEXUS) chest algorithm in detecting blunt chest injuries. Methods: This descriptive cross-sectional study included 50 polytrauma patients with blunt chest trauma from the emergency centre of Suez Canal University Hospital. E-FAST and computed tomography (CT) were conducted, followed by reporting of NEXUS criteria for all patients. Blinding of the E-FAST performer and CT reporter were confirmed. The results of both the NEXUS algorithm and E-FAST were compared with CT chest results. Results: The NEXUS algorithm had 100% sensitivity and 15.3% specificity, and E-FAST had 70% sensitivity and 96.7% specificity, in the detection of pneumothorax.In the detection of hemothorax, the sensitivity and specificity of the NEXUS algorithm were 90% and 7.5%, respectively, whereas E-FAST had a lower sensitivity of 80% and a higher specificity of 97.5%. Conclusion: E-FAST is highly specific for the detection of hemothorax, pneumothorax, and chest injuries compared with the NEXUS chest algorithm, which demonstrated the lowest specificity. However, the NEXUS chest algorithm showed a higher sensitivity than E-FAST and hence can be used effectively to rule out thoracic injury.

Indexed as

Blunt chest traumaE-FASTHemothoraxNEXUSPneumothorax

Identifiers

PMID36937618
PMCPMC10014268
OpenAlexW4323687991

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.