Literature DB >> 21127081

Most frequently missed fractures in the emergency department.

Jason Mounts1, Joel Clingenpeel, Erin McGuire, Erika Byers, Yelena Kireeva.   

Abstract

This study quantified the types of extremity fractures most commonly missed on plain radiographs by pediatric emergency medicine specialists after an initial emergency department (ED) encounter. From February 2006 to June 2009, extremity radiographs obtained in a pediatric ED in which a radiologist categorized the ED attendings' read of normal as incorrect were tabulated. The authors also counted the total number of each type of radiograph completed when radiologists were unavailable. The percentage of each type of fracture missed was calculated based on the total number of missed fractures. It was found that a total of 220 fractures were missed during ED encounters in the study period. The most frequently missed fractures were of the hand phalanges (26.4%) followed by metatarsus (9.5%), distal radius (7.7%), tibia (7.3%), and phalanges of the foot (5.5%). Emergency physicians should be aware that the most commonly missed fractures were phalanges of the hand and metatarsal fractures.

Entities:  

Mesh:

Year:  2010        PMID: 21127081     DOI: 10.1177/0009922810384725

Source DB:  PubMed          Journal:  Clin Pediatr (Phila)        ISSN: 0009-9228            Impact factor:   1.168


  11 in total

1.  Automated classification of limb fractures from free-text radiology reports using a clinician-informed gazetteer methodology.

Authors:  Amol Wagholikar; Guido Zuccon; Anthony Nguyen; Kevin Chu; Shane Martin; Kim Lai; Jaimi Greenslade
Journal:  Australas Med J       Date:  2013-05-30

2.  How Much are Emergency Medicine Specialists' Decisions Reliable in the Diagnosis and Treatment of Pediatric Fractures?

Authors:  Mohsen Mardani-Kivi; Behzad Zohrevandi; Khashayar Saheb-Ekhtiari; Keyvan Hashemi-Motlagh
Journal:  Arch Bone Jt Surg       Date:  2016-01

3.  Upper limb pediatric fractures in 22 tertiary children's hospitals, China: a multicenter epidemiological investigation and economic factor analysis of 32,832 hospitalized children.

Authors:  Xin Qiu; Hansheng Deng; Zhenhui Zhao; Shuaidan Zeng; Yueping Zeng; Xinyu Wang; Hui Xu; Weiqing Li; Xiaodi Chen; Qisong Yang; Jiaxin Zhao; Shicheng Li; Zhiwen Cui; Yu Tang; Shuting Cui; Min Liu; Yiyuan Sun; Guoshuang Feng; Gen Tang; Zhu Xiong; Shengping Tang
Journal:  J Orthop Surg Res       Date:  2022-06-03       Impact factor: 2.677

4.  Automated Reconciliation of Radiology Reports and Discharge Summaries.

Authors:  Bevan Koopman; Guido Zuccon; Amol Wagholikar; Kevin Chu; John O'Dwyer; Anthony Nguyen; Gerben Keijzers
Journal:  AMIA Annu Symp Proc       Date:  2015-11-05

5.  Building Emergency Medicine Trainee Competency in Pediatric Musculoskeletal Radiograph Interpretation: A Multicenter Prospective Cohort Study.

Authors:  Michelle Sin Lee; Martin Pusic; Benoit Carrière; Andrew Dixon; Jennifer Stimec; Kathy Boutis
Journal:  AEM Educ Train       Date:  2019-03-12

6.  Principles of hand fracture management.

Authors:  Dn Haughton; D Jordan; M Malahias; S Hindocha; W Khan
Journal:  Open Orthop J       Date:  2012-02-23

7.  Diagnostic error in the Emergency Department: follow up of patients with minor trauma in the outpatient clinic.

Authors:  Pieter-Jan Moonen; Luc Mercelina; Willem Boer; Tom Fret
Journal:  Scand J Trauma Resusc Emerg Med       Date:  2017-02-14       Impact factor: 2.953

8.  Radiologic discrepancies in diagnosis of fractures in a Dutch teaching emergency department: a retrospective analysis.

Authors:  Laura Mattijssen-Horstink; Judith Joëlle Langeraar; Gert Jan Mauritz; William van der Stappen; Maarten Baggelaar; Edward Camillus Thwan Han Tan
Journal:  Scand J Trauma Resusc Emerg Med       Date:  2020-05-13       Impact factor: 2.953

9.  Analysis of critical report notification from musculoskeletal radiology in a tertiary academic medical institution with a regional trauma center.

Authors:  Tae Ran Ahn; Yu Mi Jeong; So Hyun Park; Ji Young Jeon; Sheen-Woo Lee; Young Sup Shim
Journal:  PLoS One       Date:  2022-01-13       Impact factor: 3.240

10.  Automatic Classification of Free-Text Radiology Reports to Identify Limb Fractures using Machine Learning and the SNOMED CT Ontology.

Authors:  Guido Zuccon; Amol S Wagholikar; Anthony N Nguyen; Luke Butt; Kevin Chu; Shane Martin; Jaimi Greenslade
Journal:  AMIA Jt Summits Transl Sci Proc       Date:  2013-03-18
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