Evidence map›Paper›PMID 39166285›Full record

ArticleActa orthopaedica et traumatologica turcica2024

Effect of clinician's experience and expertise on the inter- and intra-observer reliability of the computed tomography-based classification systems in posterior malleolus fractures.

Yiğit Umur Cırdı, Mehmet Demirel, Mahmut Enes Kayaalp, Ramazan İlter Öztürk, Muhammet Bozoğlan, Andrea Giordano Salvi

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Article in Acta orthopaedica et traumatologica turcica, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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3 · Its place in the literature

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2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

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6 authors.

Yiğit Umur CırdıDepartment of Orthopedics and Traumatology, Acıbadem Health Group, Ataşehir Acıbadem Hospital, Istanbul, Türkiye.
Mehmet DemirelDepartment of Orthopedics and Traumatology, Istanbul University School of Medicine, Istanbul, Türkiye.
Mahmut Enes KayaalpDepartment of Orthopaedics and Traumatalogy, Istanbul Kartal Training and Research Hospital, Istanbul, Türkiye.
Ramazan İlter ÖztürkClinic of Orthopedics and Traumatology, Republic of Türkiye Ministry of Health, Nevşehir State Hospital, Nevşehir, Türkiye.
Muhammet BozoğlanDepartment of Orthopedics and Traumatology, Tepecik Training and Research Hospital University of Health Sciences, Izmir, Türkiye.
Andrea Giordano SalviMedicol Sarl - Clinique Bois Cerf, Avenue du Servan, Lausanne, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Three computed tomography (CT)-based classifications, including Haraguchi, Bartoníček-Rammelt, and Mason-Molloy systems, have been developed to better determine the characteristics of posterior malleolus fractures (PMFs). The aims of this study were (1) to determine the intra- and inter-observer reliability of the computed tomography-based classification systems and (2) to investigate the clinical experience and expertise on their reliabilities. Sixty-seven preoperative ankle CT scans of 67 adult patients with "ankle fracture with the involvement of the posterior malleolus"'' were retrospectively identified. CT images were assessed by 10 observers with different levels of clinical experience from 2 different specialties, including orthopedics and radiology. The observers were asked to classify PMFs according to 3 CT-based classifications on 2 separate occasions with a 4-week interval. Cohen's κ values were measured for 2 raters and Fleiss' κ values were measured for 3 raters and more. Overall, each classification had moderate to very good intraobserver reliability (κ=0.41 to 0.95, P < .01) as well as moderate interobserver reliability for each of the 2 separate assessments (κ=0.41 to 0.60, P < .01 for the first occasion; κ=0.44 to 0.59, P < .01 for the second occasion). Interobserver agreement among the foot and ankle surgeons regarding the Haraguchi and Bartoníček classifications was substantial for both assessment periods, whereas there was a moderate agreement for the Mason classification. Orthopedic residents showed moderate interobserver agreement in each period for both Bartoníček and Mason classifications. Radiology experts illustrated slight and fair agreements in the 2 assessments for Mason classification, moderate agreement in both assessments for Haraguchi classification, and substantial to moderate agreement in the first and second assessments for Bartoníček classification, respectively. Computed tomography-based classification system for PMFs demonstrated moderate interobserver reliability as well as moderate to very good intraobserver reliability. Moreover, foot and ankle specialists exhibit enhanced K values for both inter and intraobserver reliability for each classification system, consistency seems to increase as the interest in the field condenses.

Indexed as

Ankle FracturesObserver VariationTomography, X-Ray ComputedAdultAgedAnkle JointClinical CompetenceFemaleHumansMaleMiddle AgedReproducibility of ResultsRetrospective Studies

Identifiers

PMID39166285
PMCPMC11363173

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