Prognostic factors associated with failure of total elbow replacement: a protocol for analysis of National Joint Registry data in England.

IF 2.3 3区 医学 Q1 MEDICINE, GENERAL & INTERNAL
Zaid Hamoodi, Adrian Sayers, Michael R Whitehouse, Lianne Kearsley-Fleet, Jamie C Sergeant, Adam C Watts
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引用次数: 0

Abstract

Introduction: Understanding the prognostic factors associated with the failure of total elbow replacement (TER) is crucial for informing patients about risks and enabling shared decision-making regarding TER as a definitive management option. This protocol outlines the planned analysis of National Joint Registry (NJR) data to investigate prognostic factors for TER failure.

Methods and analysis: The primary analysis will use the NJR elbow dataset, including all eligible patients who underwent TER surgery between April 2012 and December 2023. To incorporate ethnicity and comorbidities as potential prognostic factors, the NJR will be linked to the National Health Service (NHS) England Hospital Episode Statistics-Admitted Patient Care (HES-APC) data for a secondary analysis. The analysis will adhere to the REporting recommendations for tumour MARKer prognostic studies guidelines. The primary outcome under investigation is TER failure, defined as requiring revision surgery. Initially, the overall prognosis of TER will be examined using unadjusted net implant failure via the Kaplan-Meier method. The list of potential prognostic factors to be investigated in this study has been informed by a systematic review on this topic, input from patient and public involvement and engagement (PPIE) groups and a survey shared with healthcare professionals providing TER services. The relationship between each potential prognostic factor and failure will be assessed using univariable regression methods. Based on the findings from our systematic review, the univariable association will also be adjusted for age, sex and indication for TER surgery using multivariable regression methods. The extent of missing data will be reported, and the reasons for missing data will be explored. A very high degree of data completeness is expected, and a complete case analysis will be performed as the primary analysis. Multiple imputations will be considered as a sensitivity analysis.

Ethics and dissemination: The NJR research committee approved this analysis, and the NHS Health Research Authority tool guidance dictates that the secondary use of such data for research does not require approval from a research ethics committee. The results from this analysis will be published in a peer-reviewed journal and presented at scientific conferences.

Trial registration number: NCT06760585.

与全肘关节置换术失败相关的预后因素:英国国家关节登记数据分析方案。
前言:了解与全肘关节置换术(TER)失败相关的预后因素对于告知患者风险和将TER作为最终治疗选择的共同决策至关重要。本方案概述了对国家联合登记(NJR)数据的计划分析,以调查TER失败的预后因素。方法和分析:主要分析将使用NJR肘部数据集,包括2012年4月至2023年12月期间接受TER手术的所有符合条件的患者。为了将种族和合并症作为潜在的预后因素,NJR将与国家卫生服务(NHS)英格兰医院事件统计-入院患者护理(HES-APC)数据相关联,进行二次分析。该分析将遵循肿瘤标志物预后研究指南的报告建议。研究的主要结果是TER失败,定义为需要翻修手术。最初,TER的总体预后将通过Kaplan-Meier方法使用未调整的净种植体失败来检查。本研究中要调查的潜在预后因素列表是通过对该主题的系统回顾、患者和公众参与(PPIE)团体的投入以及与提供TER服务的医疗保健专业人员共享的调查得出的。每个潜在预后因素与失败之间的关系将使用单变量回归方法进行评估。基于我们系统综述的发现,单变量相关性还将根据年龄、性别和TER手术适应症使用多变量回归方法进行调整。报告缺失数据的程度,探讨缺失数据的原因。期望数据的完整性非常高,并将进行完整的案例分析作为主要分析。多重输入将被视为敏感性分析。伦理和传播:NJR研究委员会批准了这一分析,NHS卫生研究机构工具指南规定,将这些数据用于研究不需要研究伦理委员会的批准。这项分析的结果将发表在同行评议的期刊上,并在科学会议上发表。试验注册号:NCT06760585。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
BMJ Open
BMJ Open MEDICINE, GENERAL & INTERNAL-
CiteScore
4.40
自引率
3.40%
发文量
4510
审稿时长
2-3 weeks
期刊介绍: BMJ Open is an online, open access journal, dedicated to publishing medical research from all disciplines and therapeutic areas. The journal publishes all research study types, from study protocols to phase I trials to meta-analyses, including small or specialist studies. Publishing procedures are built around fully open peer review and continuous publication, publishing research online as soon as the article is ready.
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