Evidence map›Paper›PMID 36523173›Full record

ArticleOrthopaedic surgery2023

A Novel and Open Classification Emphasizing on Osteoligamentous Complex for Distal Clavicle Fractures.

Zhihua Han, Jingming Dong, Jianhong Wu, Chun Bi, Qiugeng Wang, Haodong Lin, Lei Zhang, Xiaoming Wu

Abstract read
In one paragraph

Article in Orthopaedic surgery, 2023. 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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1 · What the graph read from it

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Zhihua HanTrauma Center, Department of Orthopaedics and Traumatology, Shanghai General Hospital, Shanghai Jiaotong University, Shanghai, China.ORCID https://orcid.org/0000-0003-3128-3077
Jingming DongDepartment of Upper Extremity, Tianjin Hospital, Tianjin, China.
Jianhong WuTrauma Center, Department of Orthopaedics and Traumatology, Shanghai General Hospital, Shanghai Jiaotong University, Shanghai, China.
Chun BiTrauma Center, Department of Orthopaedics and Traumatology, Shanghai General Hospital, Shanghai Jiaotong University, Shanghai, China.
Qiugeng WangTrauma Center, Department of Orthopaedics and Traumatology, Shanghai General Hospital, Shanghai Jiaotong University, Shanghai, China.
Haodong LinTrauma Center, Department of Orthopaedics and Traumatology, Shanghai General Hospital, Shanghai Jiaotong University, Shanghai, China.ORCID https://orcid.org/0000-0001-5414-7516
Lei ZhangDepartment of Radiology, Shanghai General Hospital, Shanghai Jiaotong University, Shanghai, China.
Xiaoming WuTrauma Center, Department of Orthopaedics and Traumatology, Shanghai General Hospital, Shanghai Jiaotong University, Shanghai, China.

Funding

Shanghai Jiaotong University YG2022QN075
6 · The paper itself

Abstract

objectiveCurrent X-ray-based classification methods cannot describe all distal clavicle fracture (DCF) patterns, especially the osteoligamentous injury pattern of DCFs. We aimed to develop a novel classification based on the osteoligamentous injury pattern of the DCFs and investigated its reliability.

methodsAll DCFs from January 2017 to January 2022 were respectively screened and 45 cases (mean age 20-78; male 31, female 14) met the including criteria and were enrolled. Based on their Zanca view X-ray radiograph and three-dimensional CT construction images, we analyzed the osteoligamentous injury pattern of each case, particularly the acromioclavicular (AC) and coracoclavicular ligaments and their bone attachment. Then we developed a novel classification method, five types in total, sorting all DCFs according to their lesion manifestations of osteoligamentous complex. Also, we investigated the inter- and intra-observer reliability using kappa value.

resultsA novel classification method for DCF was developed, manifesting the avulsion or rupture of conoid and trapezoid ligaments, and involvement of AC joint. Forty-five cases of DCFs were included in this study. Among them, 11 (24.4%) were Type 1 fracture, three (6.7%) cases were Type 2, six cases (13.3%) were Type 3, 21 (46.7%) were Type 4, four (8.9%) were Type 5. Kappa values for inter-observer agreement were 0.57 after first evaluation and 0.61 after second evaluation. Intra-observer agreement was 0.72 for experienced shoulder specialist and 0.63 for radiologist.

conclusionThis new classification method is reliable to use, supplementary to current classification systems, and emphasizes on the osteoligamentous complex injury when opting for the treatment.

Indexed as

Fractures, BoneOrthopedic ProceduresAdultAgedClavicleFemaleHumansLigaments, ArticularMaleMiddle AgedRadiographyReproducibility of ResultsYoung AdultClassificationDistal Clavicle FracturesOsteoligamentous Complex

Identifiers

PMID36523173
PMCPMC10432498

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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.