Evidence map›Paper›PMID 38464438›Full record

ArticleJSES international2024

Reliability of the CURL classification for proximal ulna fracture-dislocations of the elbow.

Humaid Ghori, Rahul Bagga, Anand Tathgar, Andrew Stone, Richard J Murphy, Joideep Phadnis

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Article in JSES international, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Humaid GhoriBrighton and Sussex Medical School, BSMS Teaching Building, University of Sussex, Brighton, United Kingdom.
Rahul BaggaUniversity Hospitals Sussex NHS Trust, Royal Sussex County Hospital, Brighton, United Kingdom.
Anand TathgarBrighton and Sussex Medical School, BSMS Teaching Building, University of Sussex, Brighton, United Kingdom.
Andrew StoneEast Surrey Hospital, Surrey, United Kingdom.
Richard J MurphyUniversity Hospitals Sussex NHS Trust, Royal Sussex County Hospital, Brighton, United Kingdom.
Joideep PhadnisBrighton and Sussex Medical School, BSMS Teaching Building, University of Sussex, Brighton, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Proximal ulna fracture-dislocations are challenging injuries with a myriad of existing classification systems. The Coronoid, proximal Ulna, Radius, and Ligaments classification (CURL) is a simple framework designed to focus attention on the key components affecting outcome and guide surgical management. This study evaluates interobserver and intraobserver reliability of this new classification. Methods: Four observers independently reviewed plain radiographs and computed tomography (CT) scans of patients with proximal ulna fracture-dislocations. Each observer scored the Coronoid (C), proximal Ulna (U), and Radius (R) components for each fracture on 2 occasions. The osseous components were subclassified as 'intact', 'simple', or 'complex'. The Ligament component (L) was not rated as this requires intraoperative classification. Interobserver and intraobserver reliability was calculated using Cohen's weighted kappa coefficients. X-ray and CT were compared for patients with both imaging modalities. The Landis and Koch criteria were used to interpret the strength of the kappa statistics. Results: One hundred seventy seven patients had plain X-rays; 58 patients had both X-ray and CT scans. Overall, in the X-ray only cohort, there was ' Conclusion: The Coronoid, proximal Ulna, Radius, and Ligaments classification demonstrates strong interobserver and intraobserver reliability, supporting use of the classification for proximal ulna fracture-dislocations. CT is recommended for improved characterization of any fracture with a coronoid component.

Indexed as

ClassificationDislocationFractureFracture-dislocationProximal ulnaReliability

Identifiers

PMID38464438
PMCPMC10920145

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