Elgenidy Anas, Abubasheer Tareq M, Odat Ramez M, Abdelrahim Mohamed G, Jibril Nada S, Ramadan Aya M, Ballut Lujain, Haseeb Mohamed E, Ragab Abdelrahman, Ismail Almutasem M, Afifi Ahmed M, Mohamed Benarad J, Jalal Prasun K
Faculty of Medicine, Cairo University, Cairo, Egypt.
Faculty of Medicine, Al-Quds University (Al-Azhar Branch), Gaza, Palestine.
J Clin Exp Hepatol. 2025 Jan-Feb;15(1):102381. doi: 10.1016/j.jceh.2024.102381. Epub 2024 Jul 30.
We aimed to perform a meta-analysis with the intention of evaluating the reliability and test accuracy of the aMAP risk score in the identification of HCC.
A systematic search was performed in PubMed, Scopus, Cochrane, Embase, and Web of Science databases from inception to September 2023, to identify studies measuring the aMAP score in patients for the purpose of predicting the occurrence or recurrence of HCC. The meta-analysis was performed using the meta package in R version 4.1.0. The diagnostic accuracy meta-analysis was conducted using Meta-DiSc software.
Thirty-five studies 102,959 participants were included in the review. The aMAP score was significantly higher in the HCC group than in the non-HCC group, with a mean difference of 6.15. When the aMAP score is at 50, the pooled sensitivity, specificity, negative likelihood ratio, and positive likelihood ratio with 95% CI was 0.961 (95% CI 0.936, 0.976), 0.344 (95% CI 0.227, 0.483), 0.114 (95% CI 0.087, 0.15), and 1.464 (95% CI 1.22, 1.756), respectively. At a cutoff value of 60, the pooled sensitivity, specificity, negative likelihood ratio, and positive likelihood ratio with 95% CI was 0.594 (95% CI 0.492, 0.689), 0.816 (95% CI 0.714, 0.888), 0.497 (95% CI 0.418, 0.591), and 3.235 (95% CI 2.284, 4.582), respectively.
The aMAP score is a reliable, accurate, and easy-to-use tool for predicting HCC patients of all stages, including early-stage HCC. Therefore, the aMAP score can be a valuable tool for surveillance of HCC patients and can help to improve early detection and reduce mortality.
我们旨在进行一项荟萃分析,以评估aMAP风险评分在肝细胞癌(HCC)识别中的可靠性和检测准确性。
从数据库建立至2023年9月,在PubMed、Scopus、Cochrane、Embase和Web of Science数据库中进行系统检索,以识别为预测HCC发生或复发而测量患者aMAP评分的研究。使用R 4.1.0版本中的meta包进行荟萃分析。使用Meta-DiSc软件进行诊断准确性荟萃分析。
该综述纳入了35项研究,共102,959名参与者。HCC组的aMAP评分显著高于非HCC组,平均差异为6.15。当aMAP评分为50时,合并敏感度、特异度、阴性似然比和阳性似然比及其95%置信区间分别为0.961(95%CI 0.936,0.976)、0.344(95%CI 0.227,0.483)、0.114(95%CI 0.087,0.15)和1.464(95%CI 1.22,1.756)。在临界值为60时,合并敏感度、特异度、阴性似然比和阳性似然比及其95%置信区间分别为0.594(95%CI 0.492,0.689)、0.816(95%CI 0.714,0.888)、0.497(95%CI 0.418,0.591)和3.235(95%CI 2.284,4.582)。
aMAP评分是一种可靠、准确且易于使用的工具,可用于预测包括早期HCC在内的所有阶段的HCC患者。因此,aMAP评分可以成为监测HCC患者的有价值工具,并有助于提高早期检测率和降低死亡率。