Suppr超能文献

两种术者分组下四种锁骨外侧端骨折分型系统间观察者间一致性的比较:一项多中心研究。

Comparison of Interobserver Agreement of Four Classification Systems for Lateral Clavicle Fractures between Two Groups of Surgeons: A Multicenter Study.

机构信息

Department of Trauma Center, Shanghai General Hospital affiliated to Shanghai Jiao Tong University, Shanghai, China.

Department of Trauma & Orthopedics, Peking University People's Hospital, Beijing, China.

出版信息

Orthop Surg. 2023 Aug;15(8):2138-2143. doi: 10.1111/os.13659. Epub 2023 Jan 30.

Abstract

OBJECTIVE

Distal clavicle fracture classification directly affects the treatment decisions. It is unclear whether the classification systems implemented differ depending on surgeons' backgrounds. This study aimed to compare the interobserver agreement of four classification systems used for lateral clavicle fractures by shoulder specialists and general trauma surgeons.

METHODS

Radiographs of 20 lateral clavicle fractures representing a full spectrum of adult fracture patterns were analyzed by eight experienced shoulder specialists and eight general trauma surgeons from 10 different hospitals. All cases were graded according to the Orthopedic Trauma Association (OTA), Neer, Jäger/Breitner, and Gongji classification systems. To measure observer agreement, Fleiss' kappa coefficient (κ) was applied and assessed.

RESULTS

When only X-ray films were presented, both groups achieved fair agreement. However, when the 3D-CT scan images were provided, improved interobserver agreement was found in the specialist group when the OTA, Jäger/Breitner, and Gongji classification systems were used. In the generalist groups, improved agreement was found when using the Gongji classification system. In terms of interobserver reliability, the OTA, Neer, and Jäger/Breitner classification systems showed better agreement among shoulder specialists, while a slightly lower level of agreement was found using the Gongji classification system. For the OTA classification system, interobserver agreement had a mean kappa value of 0.418, ranging from 0.446 (specialist group) to 0.402 (generalist group). For the Neer classification system, interobserver agreement had a mean kappa value of 0.368, ranging from 0.402 (specialist group) to 0.390 (generalist group). For the Jäger/Breitner classification system, the inter-observer agreement had a mean kappa value of 0.380, ranging from 0.413 (specialist group) to 0.404 (generalist group). For the Gongji classification system, interobserver agreement had a mean kappa value of 0.455, ranging from 0.480 (specialist group) to 0.485 (generalist group).

CONCLUSION

Generally speaking, 3D-CT scans provide a richer experience that can lead to better results in most classification systems of lateral clavicle fractures, highlighting the value of digitization and specialization in diagnosis and treatment. Competitive interobserver agreement was exhibited in the generalist group using the Gongji classification system, suggesting that the Gongji classification is suitable for general trauma surgeons who are not highly experienced in the shoulder field.

摘要

目的

锁骨远端骨折的分类直接影响治疗决策。目前尚不清楚不同外科医生的背景是否会影响分类系统的实施。本研究旨在比较肩部专家和普通创伤外科医生使用的四种锁骨外侧骨折分类系统的观察者间一致性。

方法

由来自 10 家不同医院的 8 名经验丰富的肩部专家和 8 名普通创伤外科医生对 20 例代表成人骨折模式全谱的锁骨外侧骨折的 X 线片进行分析。所有病例均根据骨科创伤协会(OTA)、Neer、Jäger/Breitner 和 Gongji 分类系统进行分级。为了衡量观察者的一致性,应用了 Fleiss'kappa 系数(κ)并进行了评估。

结果

仅呈现 X 射线片时,两组均获得了良好的一致性。然而,当提供 3D-CT 扫描图像时,当使用 OTA、Jäger/Breitner 和 Gongji 分类系统时,专家组的观察者间一致性得到了改善。在普通外科组中,当使用 Gongji 分类系统时,一致性得到了改善。就观察者间可靠性而言,OTA、Neer 和 Jäger/Breitner 分类系统在肩部专家中表现出更好的一致性,而 Gongji 分类系统的一致性略低。对于 OTA 分类系统,观察者间的一致性平均 kappa 值为 0.418,范围为 0.446(专家组)至 0.402(普通组)。对于 Neer 分类系统,观察者间的一致性平均 kappa 值为 0.368,范围为 0.402(专家组)至 0.390(普通组)。对于 Jäger/Breitner 分类系统,观察者间的一致性平均 kappa 值为 0.380,范围为 0.413(专家组)至 0.404(普通组)。对于 Gongji 分类系统,观察者间的一致性平均 kappa 值为 0.455,范围为 0.480(专家组)至 0.485(普通组)。

结论

一般来说,3D-CT 扫描提供了更丰富的经验,可在大多数锁骨外侧骨折的分类系统中带来更好的结果,突出了数字化和专业化在诊断和治疗中的价值。普通外科医生使用 Gongji 分类系统表现出了有竞争力的观察者间一致性,表明 Gongji 分类适用于肩部领域经验不足的普通创伤外科医生。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7930/10432448/3cbee79fa5cb/OS-15-2138-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验