为了评估拉曼光谱区分白血病患者和健康个体的准确性。检索了PubMed、Embase、Web of Science、Cochrane Library和CNKI数据库，查找从各自数据库建库到2023年11月1日发表的相关文章。计算汇总敏感性 (SEN)、特异性 (SPE)、诊断比值比 (DOR)、阳性似然比 (PLR)、阴性似然比 (NLR) 及其相应的 95% 置信区间 (CI)。构建总结性综合受试者工作特征曲线（SROC）并计算曲线下面积（AUC）。对异质性程度进行检验和分析。纳入13篇文献的15组原始研究。合并的 SEN 和 SPE 分别为 0.93 (95% CI, [0.92 -0.93]) 和 0.91 (95% CI, [0.90-0.92])。 DOR 为 613.01（95% CI，[270.79-1387.75]），AUC 为 0.99。 Deeks 漏斗图不对称性检验表明纳入的研究不存在显着的发表偏倚（偏倚系数，40.80；P=0.13 <0.10）。荟萃回归分析结果表明，观察到的异质性可能归因于样本类别和拉曼光谱技术的差异。我们证实拉曼光谱在区分白血病患者与健康个体方面具有良好的准确性，并可能成为白血病筛查的一种手段。临床实践。在使用表面增强拉曼光谱 (SERS) 进行基于活细胞的分析时，观察到诊断效果有所提高。版权所有 © 2024。由 Elsevier B.V. 出版。

To assess the accuracy of Raman spectroscopy in distinguishing between patients with leukemia and healthy individuals.PubMed, Embase, Web of Science, Cochrane Library, and CNKI databases were searched for relevant articles published from inception of the respective database to November 1, 2023. The pooled sensitivity (SEN), specificity (SPE), diagnostic odds ratio (DOR), positive likelihood ratio (PLR), negative likelihood ratio (NLR), were calculated along with their corresponding 95% confidence intervals (CI). A summary comprehensive receiver operating characteristic curve (SROC) was constructed and the area under the curve (AUC) was calculated. The degree of heterogeneity was tested and analyzed.Fifteen groups of original studies from 13 articles were included. The pooled SEN and SPE were 0.93 (95% CI, [0.92 -0.93]) and 0.91(95% CI, [0.90-0.92]), respectively. The DOR was 613.01 (95%CI, [270.79-1387.75]), and the AUC was 0.99. The Deeks' funnel plot asymmetry test indicated no significant publication bias among the included studies (bias coefficient, 40.80; P = 0.13 <0.10). The meta-regression analysis findings indicated that the observed heterogeneity could be attributed to variations in sample categories and Raman spectroscopy techniques.We confirmed that Raman spectroscopy has good accuracy in differentiating patients with leukemia from healthy individuals, and may become a means of leukemia screening in clinical practice. In the case of analysis based on live cells using surface-enhanced Raman spectroscopy (SERS) improved diagnostic efficacy was observed.Copyright © 2024. Published by Elsevier B.V.