Blood biomarkers for sarcopenia: A systematic review and meta-analysis of diagnostic test accuracy studies

肌萎缩 医学 荟萃分析 内科学 置信区间 胱抑素C 肌酐 梅德林 生物标志物 政治学 生物化学 化学 法学
作者
Rongna Lian,Qianqian Liu,Gengchen Jiang,Xiangyu Zhang,Huiyu Tang,Jing Lü,Ming Yang
出处
期刊:Ageing Research Reviews [Elsevier]
卷期号:93: 102148-102148 被引量:3
标识
DOI:10.1016/j.arr.2023.102148
摘要

Biomarkers are emerging as a potential tool for screening or diagnosing sarcopenia. We aimed to summarize the current evidence on the diagnostic test accuracy of biomarkers for sarcopenia. We comprehensively searched Ovid MEDLINE, Embase, and the Cochrane Central Register of Controlled Trials up to January 2023 and only included diagnostic test accuracy studies. We identified 32 studies with 23,840 participants (women, 58.26%) that assessed a total of 30 biomarkers. The serum creatinine to cystatin C ratio (Cr/CysC) demonstrated a pooled sensitivity ranging from 51% (95% confidence interval [CI] 44% – 59%) to 86% (95% CI 70% – 95%) and a pooled specificity ranged from 55% (95% CI 38% – 70%) to 76% (95% CI 63% – 86%) for diagnosing sarcopenia defined by five different diagnostic criteria (11 studies, 7,240 participants). The aspartate aminotransferase to alanine aminotransferase ratio demonstrated a pooled sensitivity of 62% (95% CI 56% – 67%) and a pooled specificity of 66% (95% CI 60% – 72%) (3 studies, 11,146 participants). The other 28 blood biomarkers exhibited low-to-moderate diagnostic accuracy for sarcopenia regardless of the reference standards. In conclusion, none of these biomarkers are optimal for screening or diagnosing sarcopenia. Well-designed studies are needed to explore and validate novel biomarkers for sarcopenia.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
大幅提高文件上传限制,最高150M (2024-4-1)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
Dawson发布了新的文献求助10
1秒前
1秒前
2秒前
852应助今天要开心采纳,获得10
4秒前
5秒前
研友_VZG7GZ应助猫权采纳,获得10
6秒前
xiongqi完成签到,获得积分10
6秒前
bkagyin应助干净翠桃采纳,获得10
6秒前
6秒前
汪洋完成签到,获得积分10
7秒前
沙海冬发布了新的文献求助10
8秒前
8秒前
feixingyuan关注了科研通微信公众号
9秒前
派大星发布了新的文献求助10
10秒前
11秒前
NexusExplorer应助王云逸采纳,获得10
12秒前
斯文败类应助感性的树叶采纳,获得10
14秒前
14秒前
15秒前
15秒前
16秒前
干净翠桃发布了新的文献求助10
17秒前
热心小松鼠完成签到,获得积分10
19秒前
19秒前
感性的树叶完成签到,获得积分10
20秒前
21秒前
21秒前
初见发布了新的文献求助20
22秒前
22秒前
24秒前
猫权发布了新的文献求助10
25秒前
可爱的函函应助夕夕成玦采纳,获得10
25秒前
30秒前
无花果应助猫权采纳,获得10
30秒前
33秒前
feixingyuan发布了新的文献求助10
33秒前
Danna发布了新的文献求助10
33秒前
完美世界应助xuanchengyang采纳,获得10
34秒前
34秒前
37秒前
高分求助中
Manual of Clinical Microbiology, 4 Volume Set (ASM Books) 13th Edition 1000
Chinese-English Translation Lexicon Version 3.0 500
Electronic Structure Calculations and Structure-Property Relationships on Aromatic Nitro Compounds 500
マンネンタケ科植物由来メロテルペノイド類の網羅的全合成/Collective Synthesis of Meroterpenoids Derived from Ganoderma Family 500
薩提亞模式團體方案對青年情侶輔導效果之研究 400
[Lambert-Eaton syndrome without calcium channel autoantibodies] 400
Statistical Procedures for the Medical Device Industry 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 有机化学 工程类 生物化学 纳米技术 物理 内科学 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 电极 光电子学 量子力学
热门帖子
关注 科研通微信公众号,转发送积分 2380098
求助须知:如何正确求助?哪些是违规求助? 2087365
关于积分的说明 5240903
捐赠科研通 1814550
什么是DOI,文献DOI怎么找? 905230
版权声明 558734
科研通“疑难数据库(出版商)”最低求助积分说明 483256