Guan Ming-Cheng, Zhang Shi-Yu, Ding Qian, Li Na, Fu Ting-Ting, Zhang Gui-Xia, He Qian-Qian, Shen Feng, Yang Tian, Zhu Hong
Department of Medical Oncology, The First Affiliated Hospital of Soochow University, Suzhou 215006, China.
Department of Hepatobiliary Surgery, Eastern Hepatobiliary Surgery Hospital, Second Military Medical University (Navy Medical University), Shanghai 200438, China.
J Clin Med. 2023 Jan 26;12(3):949. doi: 10.3390/jcm12030949.
Background GALAD score, comprising five clinical parameters, is a predictive model developed for hepatocellular carcinoma (HCC) detection. Since its emergence, its diagnostic ability has been validated in different populations with a wide variation. Therefore, we conducted a meta-analysis to investigate its overall diagnostic performance in differentiating HCC in chronic liver diseases. Methods Eligible studies were searched in the , , , , , and databases by 29 May 2022. Pooled sensitivity, pooled specificity, and area under the receiver operating characteristic curve (AUC) with the corresponding 95% confidence intervals (CI) were estimated. Results Fifteen original studies (comprising 19,021 patients) were included. For detecting any-stage HCC, GALAD score yielded an excellent ability, with pooled sensitivity, specificity, and AUC of 0.82 (95%CI: 0.78-0.85), 0.89 (95%CI: 0.85-0.91), and 0.92 (95%CI: 0.89-0.94), respectively. Notably, further analyses demonstrated a good diagnostic accuracy of GALAD score for identifying Barcelona Clinic Liver Cancer staging (BCLC) 0/A HCC, with a moderate sensitivity (0.73 (95%CI: 0.66-0.79)) and a high specificity (0.87 (95%CI: 0.81-0.91)); by contrast, only 38% of early-stage patients can be identified by alpha-fetoprotein, with an AUC value of 0.70 (95%CI: 0.66-0.74). Following subgroup analyses based on different HCC etiologies, higher sensitivities and AUC values were observed in subgroups with hepatitis C or non-viral liver diseases. For detecting BCLC 0/A HCC in the cirrhotic population, GALAD score had a pooled sensitivity, specificity, and AUC of 0.78 (95%CI: 0.66-0.87), 0.80 (95%CI: 0.72-0.87), and 0.86 (95%CI: 0.83-0.89). Conclusions We highlighted the superior diagnostic accuracy of GALAD score for detecting any-stage HCC with a high sensitivity and specificity, especially for early-stage HCC, with a relatively stable diagnostic performance. The addition of GALAD score into ultrasound surveillance may identify more HCC patients. Our findings imply the robust power of the GALAD score as a HCC screening or diagnostic tool, and it should be further validated by more studies with high quality.
GALAD评分包含五个临床参数,是一种为肝细胞癌(HCC)检测而开发的预测模型。自其出现以来,其诊断能力已在不同人群中得到验证,存在很大差异。因此,我们进行了一项荟萃分析,以研究其在区分慢性肝病中的HCC方面的总体诊断性能。
截至2022年5月29日,在、、、、和数据库中检索符合条件的研究。估计合并敏感性、合并特异性以及受试者工作特征曲线下面积(AUC)及其相应的95%置信区间(CI)。
纳入了15项原始研究(共19021例患者)。对于检测任何阶段的HCC,GALAD评分具有出色的能力,合并敏感性、特异性和AUC分别为0.82(95%CI:0.78 - 0.85)、0.89(95%CI:0.85 - 0.91)和0.92(95%CI:0.89 - 0.94)。值得注意的是,进一步分析表明,GALAD评分在识别巴塞罗那临床肝癌分期(BCLC)0/A期HCC方面具有良好的诊断准确性,敏感性中等(0.73(95%CI:0.66 - 0.79)),特异性高(0.87(95%CI:0.81 - 0.91));相比之下,甲胎蛋白仅能识别38%的早期患者,AUC值为0.70(95%CI:0.66 - 0.74)。在基于不同HCC病因的亚组分析中,丙型肝炎或非病毒性肝病亚组的敏感性和AUC值更高。对于在肝硬化人群中检测BCLC 0/A期HCC,GALAD评分的合并敏感性、特异性和AUC分别为0.78(95%CI:0.66 - 0.87)、0.80(95%CI:0.72 - 0.87)和0.86(95%CI:0.83 - 0.89)。
我们强调了GALAD评分在检测任何阶段HCC方面具有卓越的诊断准确性,敏感性和特异性高,尤其是对于早期HCC,诊断性能相对稳定。将GALAD评分添加到超声监测中可能会识别出更多HCC患者。我们的研究结果表明GALAD评分作为一种HCC筛查或诊断工具具有强大的能力,应通过更多高质量研究进一步验证。