对影响球队表现的运动科学和医学干预措施进行排名:对精英足球观察性研究进行系统回顾和荟萃分析的方案。

IF 3.9 Q1 SPORT SCIENCES BMJ Open Sport & Exercise Medicine Pub Date : 2024-09-13 eCollection Date: 2024-01-01 DOI:10.1136/bmjsem-2024-002196
Tiago Fernandes, Vincenzo Rago, Marta Castañer, Oleguer Camerino
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引用次数: 0

摘要

本研究方案介绍了一种系统方法,用于在观察性研究中识别、收集和排列与优化精英足球团队表现最相关的运动科学和医学干预措施。虽然与足球运动员和球队表现提升相关的干预措施众多,如调理或伤病预防计划、防护装备、训练周期、战术决策、补充剂、药物和水合管理等,但仍有必要对其进行优先排序,以节省资源并提高应用效率。然而,以往的文献表明,精英足球领域的系统性综述往往需要更多的协议注册,而且直接适用于该领域的程序、综合和实际意义有限。因此,本协议概述了按照 Cochrane 协作和系统综述与元分析首选报告项目声明制定的综合流程,包括以下几个阶段:(1) 研究问题的提出和初步研究,(2) 资格标准,(3) 搜索策略,(4) 研究选择,(5) 数据收集,(6) 数据评估,(7) 数据综合和统计分析。它还介绍了一个数据质量标准流程,其中包括人工和大型语言模型审查员,以及选择合适的定量综合和排序技术的详细流程图。它包括元回归、配对、网络、贝叶斯或分层元分析选项。与项目相关的协议和预注册可在开放科学框架(https://osf.io/tzcxq/)上查阅。
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Ranking sports science and medicine interventions impacting team performance: a protocol for a systematic review and meta-analysis of observational studies in elite football.

This study protocol describes a systematic method to identify, collect and rank sports science and medicine interventions most associated with optimising team performance in elite football in observational studies. While numerous interventions, such as conditioning or injury prevention programmes, protective equipment, training periodisation, tactical decision-making, supplements, medication and hydration administration, have been associated with football players and team performance enhancement, there is a need to prioritise them to save resources and increase the efficiency of applications. Nevertheless, previous literature has shown that systematic reviews in elite football often need more protocol registration and have limited procedures, synthesis and practical implications directly applicable to the field. Therefore, this protocol outlines a comprehensive process developed following the Cochrane Collaboration and Preferred Reporting Items for Systematic Reviews and Meta-Analyses statement comprising the following stages: (1) research question formulation and preliminary study, (2) eligibility criteria, (3) search strategy, (4) study selection, (5) data collection, (6) data assessment and (7) data synthesis and statistical analysis. It also presents a data quality standard process incorporating human and large language models reviewers and a detailed flow diagram for selecting suitable quantitative synthesis and ranking techniques. It includes meta-regression, pairwise, network, Bayesian or hierarchical meta-analysis options. The project associated and pre-registration of the protocol is available on the Open Science Framework (https://osf.io/tzcxq/).

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来源期刊
CiteScore
7.10
自引率
4.20%
发文量
106
审稿时长
20 weeks
期刊最新文献
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