Abigail N Burton, Safoora Gharibzadeh, Mark P Funnell, Kamlesh Khunti, Emma L Watson, Thomas J Wilkinson
{"title":"骨骼肌减少症、骨骼肌减少性肥胖和骨骨骼肌减少症生物标志物的诊断准确性:系统评价和荟萃分析方案。","authors":"Abigail N Burton, Safoora Gharibzadeh, Mark P Funnell, Kamlesh Khunti, Emma L Watson, Thomas J Wilkinson","doi":"10.1002/hsr2.71307","DOIUrl":null,"url":null,"abstract":"<p><strong>Background and aims: </strong>Sarcopenia is the accelerated loss of skeletal muscle mass and function associated with aging, and can significantly impact a person's quality of life. Sarcopenia can also occur with other health conditions, such as excess adipose tissue and bone weakness. The presence of multiple long-term conditions can exacerbate sarcopenia, and it has been observed in tandem with a variety of chronic illnesses. Biological markers can act as an early identifier or predictor of disease, enabling simple surveillance and prompt treatment. The need for effective screening and intervention has become more important as our population ages. This protocol outlines our approach to summarize the evidence on the diagnostic accuracy of various blood-based biomarkers for diagnosing sarcopenia, including sarcopenic obesity and osteosarcopenia, through a systematic review and meta-analysis.</p><p><strong>Methods: </strong>The protocol was developed in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analysis for Diagnostic Test Accuracy Studies (PRISMA-DTA) 2018 statement and prospectively registered (PROSPERO: CRD42024609060). A comprehensive literature search using electronic databases including MEDLINE, Embase (via SCOPUS), CINAHL, Cochrane, and Web of Science, will be conducted. The review will include studies that meet the specific inclusion criteria, and the risk of bias in the included studies will be assessed using the Quality Assessment of Diagnostic Accuracy 2 quality assessment tool (QUADAS-2). A meta-analysis will be conducted using random-effects approaches, based on the level of heterogeneity. Subgroup and sensitivity analysis will be performed if necessary.</p><p><strong>Results: </strong>The results of this review will be reported in accordance with PRISMA-DTA standards, and published in a peer-reviewed journal.</p><p><strong>Conclusion: </strong>The proposed systematic review and meta-analysis will assess the diagnostic accuracies of potential blood-based biomarkers for screening sarcopenia, sarcopenic obesity, and osteosarcopenia. The results will provide important evidence on the use of biomarkers to diagnose sarcopenia and its associated syndromes, which can inform the development of targeted screening and intervention in research and practice.</p>","PeriodicalId":36518,"journal":{"name":"Health Science Reports","volume":"8 10","pages":"e71307"},"PeriodicalIF":2.1000,"publicationDate":"2025-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12504622/pdf/","citationCount":"0","resultStr":"{\"title\":\"The Diagnostic Accuracy of Biological Markers of Sarcopenia, Sarcopenic Obesity, and Osteosarcopenia: Protocol for a Systematic Review and Meta-Analysis.\",\"authors\":\"Abigail N Burton, Safoora Gharibzadeh, Mark P Funnell, Kamlesh Khunti, Emma L Watson, Thomas J Wilkinson\",\"doi\":\"10.1002/hsr2.71307\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background and aims: </strong>Sarcopenia is the accelerated loss of skeletal muscle mass and function associated with aging, and can significantly impact a person's quality of life. Sarcopenia can also occur with other health conditions, such as excess adipose tissue and bone weakness. The presence of multiple long-term conditions can exacerbate sarcopenia, and it has been observed in tandem with a variety of chronic illnesses. Biological markers can act as an early identifier or predictor of disease, enabling simple surveillance and prompt treatment. The need for effective screening and intervention has become more important as our population ages. This protocol outlines our approach to summarize the evidence on the diagnostic accuracy of various blood-based biomarkers for diagnosing sarcopenia, including sarcopenic obesity and osteosarcopenia, through a systematic review and meta-analysis.</p><p><strong>Methods: </strong>The protocol was developed in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analysis for Diagnostic Test Accuracy Studies (PRISMA-DTA) 2018 statement and prospectively registered (PROSPERO: CRD42024609060). A comprehensive literature search using electronic databases including MEDLINE, Embase (via SCOPUS), CINAHL, Cochrane, and Web of Science, will be conducted. The review will include studies that meet the specific inclusion criteria, and the risk of bias in the included studies will be assessed using the Quality Assessment of Diagnostic Accuracy 2 quality assessment tool (QUADAS-2). A meta-analysis will be conducted using random-effects approaches, based on the level of heterogeneity. Subgroup and sensitivity analysis will be performed if necessary.</p><p><strong>Results: </strong>The results of this review will be reported in accordance with PRISMA-DTA standards, and published in a peer-reviewed journal.</p><p><strong>Conclusion: </strong>The proposed systematic review and meta-analysis will assess the diagnostic accuracies of potential blood-based biomarkers for screening sarcopenia, sarcopenic obesity, and osteosarcopenia. 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引用次数: 0
摘要
背景和目的:骨骼肌减少症是与衰老相关的骨骼肌质量和功能的加速丧失,可以显著影响一个人的生活质量。肌肉减少症也可能与其他健康状况一起发生,如脂肪组织过多和骨质疏松。多种长期条件的存在可加剧肌肉减少症,并已观察到与多种慢性疾病串联。生物标记物可以作为疾病的早期识别物或预测物,实现简单的监测和及时的治疗。随着人口老龄化,对有效筛查和干预的需求变得越来越重要。本方案概述了我们的方法,通过系统回顾和荟萃分析,总结各种基于血液的生物标志物诊断肌肉减少症的证据准确性,包括肌肉减少性肥胖和骨骨骼肌减少症。方法:该方案根据诊断测试准确性研究系统评价和荟萃分析首选报告项目(PRISMA-DTA) 2018声明制定,并前瞻性注册(PROSPERO: CRD42024609060)。将使用包括MEDLINE、Embase(通过SCOPUS)、CINAHL、Cochrane和Web of Science在内的电子数据库进行全面的文献检索。本综述将纳入符合特定纳入标准的研究,纳入研究的偏倚风险将使用诊断准确性质量评估2质量评估工具(QUADAS-2)进行评估。基于异质性水平,采用随机效应方法进行meta分析。必要时进行分组分析和敏感性分析。结果:本综述的结果将按照PRISMA-DTA标准进行报告,并在同行评议的期刊上发表。结论:提出的系统评价和荟萃分析将评估潜在的血液生物标志物筛查肌肉减少症、肌肉减少性肥胖和骨肌肉减少症的诊断准确性。该结果将为使用生物标志物诊断肌肉减少症及其相关综合征提供重要证据,为研究和实践中开展有针对性的筛查和干预提供信息。
The Diagnostic Accuracy of Biological Markers of Sarcopenia, Sarcopenic Obesity, and Osteosarcopenia: Protocol for a Systematic Review and Meta-Analysis.
Background and aims: Sarcopenia is the accelerated loss of skeletal muscle mass and function associated with aging, and can significantly impact a person's quality of life. Sarcopenia can also occur with other health conditions, such as excess adipose tissue and bone weakness. The presence of multiple long-term conditions can exacerbate sarcopenia, and it has been observed in tandem with a variety of chronic illnesses. Biological markers can act as an early identifier or predictor of disease, enabling simple surveillance and prompt treatment. The need for effective screening and intervention has become more important as our population ages. This protocol outlines our approach to summarize the evidence on the diagnostic accuracy of various blood-based biomarkers for diagnosing sarcopenia, including sarcopenic obesity and osteosarcopenia, through a systematic review and meta-analysis.
Methods: The protocol was developed in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analysis for Diagnostic Test Accuracy Studies (PRISMA-DTA) 2018 statement and prospectively registered (PROSPERO: CRD42024609060). A comprehensive literature search using electronic databases including MEDLINE, Embase (via SCOPUS), CINAHL, Cochrane, and Web of Science, will be conducted. The review will include studies that meet the specific inclusion criteria, and the risk of bias in the included studies will be assessed using the Quality Assessment of Diagnostic Accuracy 2 quality assessment tool (QUADAS-2). A meta-analysis will be conducted using random-effects approaches, based on the level of heterogeneity. Subgroup and sensitivity analysis will be performed if necessary.
Results: The results of this review will be reported in accordance with PRISMA-DTA standards, and published in a peer-reviewed journal.
Conclusion: The proposed systematic review and meta-analysis will assess the diagnostic accuracies of potential blood-based biomarkers for screening sarcopenia, sarcopenic obesity, and osteosarcopenia. The results will provide important evidence on the use of biomarkers to diagnose sarcopenia and its associated syndromes, which can inform the development of targeted screening and intervention in research and practice.