Department of Internal Medicine and Biomedical Research Institute, Pusan National University Hospital, Busan, Korea.
Department of Nuclear Medicine, Pusan National University Yangsan Hospital, Yangsan, Korea.
Clin Endocrinol (Oxf). 2018 Dec;89(6):856-862. doi: 10.1111/cen.13853. Epub 2018 Oct 10.
The purpose of the current study was to investigate the diagnostic performance of high mobility group A2 (HMGA2) gene expression for differentiation of malignant thyroid nodules through a systematic review and meta-analysis.
The MEDLINE/PubMed and EMBASE database, from the earliest available date of indexing through 10 April 2018, were searched for studies evaluating the diagnostic performance of HMGA2 expression for differentiation of thyroid nodules.
We determined the sensitivities and specificities across studies, calculated positive and negative likelihood ratios (LR+ and LR-), and constructed summary receiver operating characteristic (ROC) curves.
Across 7 studies, the pooled sensitivity for HMGA2 expression was 0.78 (95% CI; 0.67-0.86) with heterogeneity (I = 86.6) and a pooled specificity of 0.94 (95% CI: 0.85-0.98) with heterogeneity (I = 94.7). Likelihood ratio (LR) syntheses gave an overall positive likelihood ratio (LR+) of 12.6 (95% CI: 5.1-31.3) and negative likelihood ratio (LR-) of 0.24 (95% CI: 0.15-0.36). The pooled diagnostic odds ratio (DOR) was 53 (95% CI: 18-159). Hierarchical summary ROC curve indicates that the areas under the curve were 0.92 (95% CI: 0.89-0.94). In meta-regression analysis, no definite variable was the source of the study heterogeneity.
The current meta-analysis showed the moderate sensitivity and high specificity of HMGA2 expression for differentiation of malignant thyroid nodules. The likelihood ratio scatter-gram suggested that HMGA2 expression analysis could be useful for confirmation of the presence of malignant thyroid nodules. Considering the heterogeneity of included studies, further large prospective studies are necessary to confirm these results.
本研究旨在通过系统评价和荟萃分析探讨高迁移率族 A2(HMGA2)基因表达在鉴别甲状腺良恶性结节中的诊断性能。
检索 MEDLINE/PubMed 和 EMBASE 数据库,检索时间为建库至 2018 年 4 月 10 日,评估 HMGA2 表达在鉴别甲状腺结节中的诊断性能。
我们确定了各研究中的敏感性和特异性,计算了阳性和阴性似然比(LR+和 LR-),并构建了汇总受试者工作特征(ROC)曲线。
纳入的 7 项研究中,HMGA2 表达的合并敏感性为 0.78(95%可信区间:0.67-0.86),存在异质性(I = 86.6);合并特异性为 0.94(95%可信区间:0.85-0.98),存在异质性(I = 94.7)。似然比(LR)综合分析显示,总的阳性似然比(LR+)为 12.6(95%可信区间:5.1-31.3),阴性似然比(LR-)为 0.24(95%可信区间:0.15-0.36)。合并诊断比值比(DOR)为 53(95%可信区间:18-159)。分层汇总 ROC 曲线表明曲线下面积为 0.92(95%可信区间:0.89-0.94)。在荟萃回归分析中,没有确定的变量是研究异质性的来源。
本荟萃分析显示,HMGA2 表达在鉴别甲状腺良恶性结节中有中等敏感性和高特异性。似然比散点图表明,HMGA2 表达分析有助于确认恶性甲状腺结节的存在。考虑到纳入研究的异质性,需要进一步进行大型前瞻性研究来证实这些结果。