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2
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3
A direct comparison of four high-risk human papillomavirus tests versus the cobas test: Detecting CIN2+ in low-resource settings.四种高危型人乳头瘤病毒检测与 cobas 检测的直接比较:在资源有限的环境中检测 CIN2+。
J Med Virol. 2019 Jul;91(7):1342-1350. doi: 10.1002/jmv.25451. Epub 2019 Mar 21.
4
The Valgent4 protocol: Robust analytical and clinical validation of 11 HPV assays with genotyping on cervical samples collected in SurePath medium.Valgent4 方案:对使用 SurePath 介质采集的宫颈样本进行 11 种 HPV 检测与基因分型的稳健分析和临床验证。
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5
Validation of EUROArray HPV test using the VALGENT framework.使用 VALGENT 框架验证 EUROArray HPV 检测。
J Clin Virol. 2018 Nov;108:38-42. doi: 10.1016/j.jcv.2018.09.005. Epub 2018 Sep 10.
6
Clinical and Analytical Evaluation of the Anyplex II HPV HR Detection Assay within the VALGENT-3 Framework.在 VALGENT-3 框架内对 AnyPlex II HPV HR 检测分析进行临床和分析评估。
J Clin Microbiol. 2018 Oct 25;56(11). doi: 10.1128/JCM.01176-18. Print 2018 Nov.
7
Clinical Evaluation of INNO-LiPA HPV Genotyping II Assay Using the VALGENT Framework.采用 VALGENT 框架对 INNO-LiPA HPV Genotyping II assay 的临床评估。
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8
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9
Assessment of the Roche Linear Array HPV Genotyping Test within the VALGENT framework.在 VALGENT 框架内评估罗氏线性阵列 HPV 基因分型检测。
J Clin Virol. 2018 Jan;98:37-42. doi: 10.1016/j.jcv.2017.12.001. Epub 2017 Dec 6.
10
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在VALGENT-3框架内对Hybribio的14种高危型HPV与16/18基因分型检测的临床准确性进行评估与优化。

Evaluation and Optimization of the Clinical Accuracy of Hybribio's 14 High-Risk HPV with 16/18 Genotyping Assay within the VALGENT-3 Framework.

作者信息

Xu Lan, Oštrbenk Valenčak Anja, Poljak Mario, Arbyn Marc

机构信息

Belgian Cancer Centre/Unit of Cancer Epidemiology, Sciensano, Brussels, Belgium.

Institute of Microbiology and Immunology, Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia.

出版信息

J Clin Microbiol. 2020 May 26;58(6). doi: 10.1128/JCM.00234-20.

DOI:10.1128/JCM.00234-20
PMID:32245832
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7269387/
Abstract

Hybribio's 14 High-Risk HPV with 16/18 genotyping real-time PCR (HBRT-H14) is a human papillomavirus (HPV) assay with approval from the China Food and Drug Administration that is widely used in China. VALGENT (VALidation of HPV GENotyping Tests) is an established framework for evaluating HPV tests' clinical performance relative to validated comparators. The aim of this study was to assess the clinical accuracy of HBRT-H14 following international validation criteria. Within VALGENT-3, clinical performance of HBRT-H14 was compared with Hybrid Capture 2 (HC2), Linear Array HPV genotyping test (Linear Array), and Cobas 4800 HPV test (Cobas). VALGENT-3 comprised 1,300 consecutive samples and 300 abnormal cytological samples from the Slovenian cervical cancer screening program. Disease was defined as histologically confirmed cervical intraepithelial neoplasia scoring grade 2 or worse (CIN2+) and CIN3+, and two negative cytology results in a row were a proxy for nondisease. In the total study population, relative sensitivity and specificity of HBRT-H14 versus HC2 for detecting CIN2+ were 0.98 (95% confidence interval [CI], 0.94 to 1.03; noninferiority[] < 0.01) and 0.97 (95% CI, 0.96 to 0.99;  = 0.78), respectively. Applying an optimized cutoff, defined using Linear Array and Cobas as bridging tests, yielded relative values of 0.98 (95% CI, 0.94 to 1.03;  < 0.01) and 1.01 (95% CI, 1.00 to 1.03;  < 0.01), respectively. In conclusion, HBRT-H14 was as sensitive but less specific than HC2 for detecting cervical precancer at the predefined cutoff. However, HBRT-H14 fulfilled international accuracy criteria for cervical cancer screening when using an optimized cutoff and might be attractive in low-resource settings given its low cost.

摘要

凯普生物的14种高危型人乳头瘤病毒16/18基因分型实时聚合酶链反应检测(HBRT - H14)是一种经中国国家食品药品监督管理总局批准的人乳头瘤病毒(HPV)检测方法,在中国被广泛应用。VALGENT(HPV基因分型检测验证)是一个用于评估HPV检测相对于已验证对照的临床性能的既定框架。本研究的目的是按照国际验证标准评估HBRT - H14的临床准确性。在VALGENT - 3中,将HBRT - H14的临床性能与杂交捕获2代(HC2)、线性阵列HPV基因分型检测(线性阵列)以及Cobas 4800 HPV检测(Cobas)进行比较。VALGENT - 3包含来自斯洛文尼亚宫颈癌筛查项目的1300份连续样本和300份异常细胞学样本。疾病定义为组织学确诊的宫颈上皮内瘤变2级或更严重(CIN2 +)以及CIN3 +,连续两次细胞学检查结果为阴性代表无疾病。在整个研究人群中,HBRT - H14相对于HC2检测CIN2 +的相对敏感性和特异性分别为0.98(95%置信区间[CI],0.94至1.03;非劣效性[]<0.01)和0.97(95% CI,0.96至0.99;= 0.78)。使用线性阵列和Cobas作为桥接检测定义的优化临界值,相对值分别为0.98(95% CI,0.94至1.03;<0.01)和1.01(95% CI,1.00至1.03;<0.01)。总之,在预定义的临界值下,HBRT - H14在检测宫颈上皮内瘤变方面与HC2一样敏感,但特异性较低。然而,当使用优化临界值时,HBRT - H14符合宫颈癌筛查的国际准确性标准,并且鉴于其低成本,在资源匮乏地区可能具有吸引力。