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系统评价和荟萃分析以确定在细针穿刺抽吸活检样本中用于区分良恶性甲状腺病变的免疫细胞化学标志物。

Systematic Review and Meta-Analysis to Identify the Immunocytochemical Markers Effective in Delineating Benign from Malignant Thyroid Lesions in FNAC Samples.

机构信息

Department of Head and Neck Oncology, Mazumdar Shaw Medical Center, NH Health City, Bangalore, India.

Integrated Head and Neck Oncology Program, DSRG-5, Mazumdar Shaw Center for Translational Research, Mazumdar Shaw Medical Foundation, Bangalore, India.

出版信息

Endocr Pathol. 2022 Jun;33(2):243-256. doi: 10.1007/s12022-022-09721-5. Epub 2022 May 21.

Abstract

Conventional cytology-based diagnosis for thyroid cancer is limited with more than 30-45% of nodules categorized as indeterminate, necessitating surgery for confirming or refuting the diagnosis. This systematic review and meta-analysis were aimed at identifying immunocytochemical markers effective in delineating benign from malignant thyroid lesions in fine needle aspiration cytology (FNAC) samples, thereby improving the accuracy of cytology diagnosis. A systematic review of relevant articles (2000-2021) from online databases was carried out and the search protocol registered in PROSPERO database (CRD42021229121). The quality of studies was assessed using QUADAS-2. Review Manager 5.4.1 from Cochrane collaboration and MetaDisc Version 1.4 was used to conduct the meta-analysis. Bias in the studies were visually analyzed using funnel plots, and statistical significance was evaluated by Egger's test. Systematic review identified 64 original articles, while meta-analysis in eligible articles (n = 41) identified a panel of 5 markers, Galectin-3, HBME-1, CK-19, CD-56, and TPO. Assessment of the diagnostic performance revealed that Gal-3 (sensitivity: 0.81; CI: 0.79-0.83; specificity: 0.84; CI: 0.82-0.85) and HBME-1 (sensitivity: 0.83; Cl: 0.81-0.86; specificity: 0.85; CI: 0.83-0.86) showed high accuracy in delineating benign from malignant thyroid nodules. Efficacy analysis in indeterminate nodules showed Gal-3 and HBME-1 have high specificity of 0.86 (CI 0.84-0.89) and 0.82 (CI 0.78-0.86), respectively, and low sensitivity of 0.76 (CI 0.72-0.80) and 0.75 (CI 0.70-0.80), respectively. Diagnostic odds ratio (DOR) of Galectin-3 and HBME-1 were 39.18 (CI 23.38-65.65) and 24.44 (CI 11.16-53.54), respectively. Significant publication bias was observed for the markers Galectin-3 and CK-19 (p < 0.05). The panel of 5 markers identified from this meta-analysis are high-confidence candidates that need to be validated in thyroid cytology to establish their efficacy and enable clinical applicability.

摘要

基于传统细胞学的甲状腺癌诊断存在局限性,超过 30-45%的结节被归类为不确定,需要手术来确认或排除诊断。本系统评价和荟萃分析旨在确定在细针抽吸细胞学 (FNAC) 样本中有效区分良性和恶性甲状腺病变的免疫细胞化学标志物,从而提高细胞学诊断的准确性。对来自在线数据库的相关文章(2000-2021 年)进行了系统综述,并在 PROSPERO 数据库(CRD42021229121)中注册了搜索方案。使用 QUADAS-2 评估研究质量。来自 Cochrane 合作的 Review Manager 5.4.1 和 MetaDisc Version 1.4 用于进行荟萃分析。使用漏斗图直观分析研究中的偏倚,并使用 Egger 检验评估统计学意义。系统评价确定了 64 篇原始文章,而荟萃分析在合格的文章(n=41)中确定了一组 5 个标志物,Galectin-3、HBME-1、CK-19、CD-56 和 TPO。对诊断性能的评估表明,Gal-3(敏感性:0.81;CI:0.79-0.83;特异性:0.84;CI:0.82-0.85)和 HBME-1(敏感性:0.83;Cl:0.81-0.86;特异性:0.85;CI:0.83-0.86)在区分良性和恶性甲状腺结节方面具有较高的准确性。在不确定的结节中的功效分析表明,Gal-3 和 HBME-1 具有较高的特异性,分别为 0.86(CI 0.84-0.89)和 0.82(CI 0.78-0.86),以及较低的敏感性,分别为 0.76(CI 0.72-0.80)和 0.75(CI 0.70-0.80)。Galectin-3 和 HBME-1 的诊断比值比 (DOR) 分别为 39.18(CI 23.38-65.65)和 24.44(CI 11.16-53.54)。Galectin-3 和 CK-19 标志物观察到显著的发表偏倚(p<0.05)。本荟萃分析确定的 5 个标志物组合是高可信度的候选标志物,需要在甲状腺细胞学中进行验证,以确定其有效性并实现临床适用性。

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