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      Diagnostic accuracy of tests to detect Hepatitis C antibody: a meta-analysis and review of the literature

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          Abstract

          Background

          Although direct-acting antivirals can achieve sustained virological response rates greater than 90% in Hepatitis C Virus (HCV) infected persons, at present the majority of HCV-infected individuals remain undiagnosed and therefore untreated. While there are a wide range of HCV serological tests available, there is a lack of formal assessment of their diagnostic performance. We undertook a systematic review and meta-analysis to evaluate he diagnostic accuracy of available rapid diagnostic tests (RDT) and laboratory based EIA assays in detecting antibodies to HCV.

          Methods

          We used the PRISMA checklist and Cochrane guidance to develop our search protocol. The search strategy was registered in PROSPERO (CRD42015023567). The search focused on hepatitis C, diagnostic tests, and diagnostic accuracy within eight databases (MEDLINE, EMBASE, the Cochrane Central Register of Controlled Trials, Science Citation Index Expanded, Conference Proceedings Citation Index-Science, SCOPUS, Literatura Latino-Americana e do Caribe em Ciências da Saúde and WHO Global Index Medicus. Studies were included if they evaluated an assay to determine the sensitivity and specificity of HCV antibody (HCV Ab) in humans. Two reviewers independently extracted data and performed a quality assessment of the studies using the QUADAS tool. We pooled test estimates using the DerSimonian-Laird method, by using the software R and RevMan. 5.3.

          Results

          A total of 52 studies were identified that included 52,673 unique test measurements. Based on five studies, the pooled sensitivity and specificity of HCV Ab rapid diagnostic tests (RDTs) were 98% (95% CI 98-100%) and 100% (95% CI 100-100%) compared to an enzyme immunoassay (EIA) reference standard. High HCV Ab RDTs sensitivity and specificity were observed across screening populations (general population, high risk populations, and hospital patients) using different reference standards (EIA, nucleic acid testing, immunoblot). There were insufficient studies to undertake subanalyses based on HIV co-infection. Oral HCV Ab RDTs also had excellent sensitivity and specificity compared to blood reference tests, respectively at 94% (95% CI 93-96%) and 100% (95% CI 100-100%). Among studies that assessed individual oral RDTs, the eight studies revealed that OraQuick ADVANCE® had a slightly higher sensitivity (98%, 95% CI 97-98%) compared to the other oral brands (pooled sensitivity: 88%, 95% CI 84-92%).

          Conclusions

          RDTs, including oral tests, have excellent sensitivity and specificity compared to laboratory-based methods for HCV antibody detection across a wide range of settings. Oral HCV Ab RDTs had good sensitivity and specificity compared to blood reference standards.

          Electronic supplementary material

          The online version of this article (10.1186/s12879-017-2773-2) contains supplementary material, which is available to authorized users.

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          Most cited references61

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          The global burden of hepatitis C.

          Hepatitis C is of concern both to industrialized and developing countries. Preliminary unpublished estimates of the global burden of disease (GBD) attributable to HCV-related chronic liver disease seem to be substantial. Therefore, the reduction of global mortality and morbidity related to chronic hepatitis C should be a concern to public health authorities, and primary, secondary and tertiary prevention activities should be implemented and monitored in each country, with precise targets set to be reached. In order to decide on national health policies, there is a need to estimate the burden of disease, globally, regionally and nationally. To evaluate the GBD, three components have to be assessed: 1) The global, regional and national burden of morbidity and mortality associated with HCV infection, based on prevalence, incidence, transmission and economics; 2) The natural history of HCV infection, including 'healthy individuals'; and 3) The areas for which more research is needed. A working group was created to assist the World Health organization (WHO) in estimating the GBD associated with HCV infection.
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            New hepatitis C therapies: the toolbox, strategies, and challenges.

            Therapy for hepatitis C is undergoing a revolution. Several new drugs against the hepatitis C virus (HCV) have reached the market and many others, including direct-acting antivirals and host-targeted agents, are in phase II or III clinical development. All-oral, interferon-free combinations of drugs are expected to cure more than 90% of infections. A vast amount of data from clinical trials are presented regularly at international conferences or released to the press before peer-review, creating confusion in the viral hepatitis field. The goal of this review is to clarify the current stage of HCV therapy and drug development. This review describes the different classes of drugs and their mechanisms and properties, as well as treatment strategies in development, including those that are interferon-based and interferon-free. HCV treatment options that will be available in 2014-2015 are presented for each genotype. A number of unanswered questions and challenges remain, such as how to treat special populations, the role of ribavirin in interferon-free regimens, the role of HCV resistance in treatment failures, and how to best re-treat patients who failed on treatment. Strategic choices, cost issues, HCV screening, and improving access to care in resource-constrained areas also are discussed. Copyright © 2014 AGA Institute. Published by Elsevier Inc. All rights reserved.
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              Bias in sensitivity and specificity caused by data-driven selection of optimal cutoff values: mechanisms, magnitude, and solutions.

              Optimal cutoff values for tests results involving continuous variables are often derived in a data-driven way. This approach, however, may lead to overly optimistic measures of diagnostic accuracy. We evaluated the magnitude of the bias in sensitivity and specificity associated with data-driven selection of cutoff values and examined potential solutions to reduce this bias. Different sample sizes, distributions, and prevalences were used in a simulation study. We compared data-driven estimates of accuracy based on the Youden index with the true values and calculated the median bias. Three alternative approaches (assuming a specific distribution, leave-one-out, smoothed ROC curve) were examined for their ability to reduce this bias. The magnitude of bias caused by data-driven optimization of cutoff values was inversely related to sample size. If the true values for sensitivity and specificity are both 84%, the estimates in studies with a sample size of 40 will be approximately 90%. If the sample size increases to 200, the estimates will be 86%. The distribution of the test results had little impact on the amount of bias when sample size was held constant. More robust methods of optimizing cutoff values were less prone to bias, but the performance deteriorated if the underlying assumptions were not met. Data-driven selection of the optimal cutoff value can lead to overly optimistic estimates of sensitivity and specificity, especially in small studies. Alternative methods can reduce this bias, but finding robust estimates for cutoff values and accuracy requires considerable sample sizes.
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                Author and article information

                Contributors
                weimingtangscience@gmail.com
                chenw43@mail.sysu.edu.cn
                aliamini419@gmail.com
                dboeras@globalhealthig.com
                jane.falconer@lshtm.ac.uk
                Helen.Kelly@lshtm.ac.uk
                rosanna.peeling@lshtm.ac.uk
                +86 020-87255824 , jdtucker@med.unc.edu
                easterbrookp@who.int
                Journal
                BMC Infect Dis
                BMC Infect. Dis
                BMC Infectious Diseases
                BioMed Central (London )
                1471-2334
                1 November 2017
                1 November 2017
                2017
                : 17
                Issue : Suppl 1 Issue sponsor : Publication of this supplement was funded by the WHO. Information about the source of funding for specific projects can be found in the individual articles. The articles have undergone the journal's standard peer review process for supplements. PE is a WHO staff member and has no financial conflicts of interest. RC has received funding from the U.S. Agency for Healthcare Research and Quality to conduct systematic reviews on hepatitis C screening. MH receives funding from the NHMRC in Australia for a Principal Research Fellowship. The Burnet Institute receives funding from Gilead Science, Abbvie and BMS for investigator initiated research, for which MH is the lead investigator, and receives support from the Victorian Government through the Victorian Operational Infrastructure Support Program. PH is an employee of BioMed Central. The Supplement Editors declare that they were not involved in the peer review process for any paper on which they are an author.
                : 695
                Affiliations
                [1 ]University of North Carolina Project-China, No. 2 Lujing Road, Guangzhou, 510095 China
                [2 ]GRID grid.413402.0, Guangdong Provincial Dermatology Hospital (Dermatology Hospital, Southern Medical University), ; Guangzhou, China
                [3 ]SESH Global, Guangzhou, China
                [4 ]ISNI 0000000122483208, GRID grid.10698.36, School of Medicine, , University of North Carolina at Chapel Hill, ; Chapel Hill, NC USA
                [5 ]ISNI 0000 0001 2360 039X, GRID grid.12981.33, School of Public Health, , Sun Yat-sen University, ; Guangzhou, China
                [6 ]ISNI 0000 0001 2360 039X, GRID grid.12981.33, Center for Migrant Health Policy, , Sun Yat-sen University, ; Guangzhou, China
                [7 ]ISNI 0000 0004 0425 469X, GRID grid.8991.9, London School of Hygiene and Tropical Medicine, ; Keppel St, London, UK
                [8 ]ISNI 0000000121633745, GRID grid.3575.4, Global Hepatitis Programme, HIV Department, World Health Organization, ; Geneva, Switzerland
                Article
                2773
                10.1186/s12879-017-2773-2
                5688422
                29143615
                b5712d98-26e7-46cd-812a-6f6d24e91d9e
                © World Health Organization. 2017

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution IGO License ( http://creativecommons.org/licenses/by/3.0/igo/legalcode), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. In any reproduction of this article there should not be any suggestion that WHO or this article endorse any specific organization or products. The use of the WHO logo is not permitted. This notice should be preserved along with the article's original URL.

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                © The Author(s) 2017

                Infectious disease & Microbiology
                diagnostic accuracy,diagnostic tests,hepatitis c,hcv antibody,rapid diagnostic tests

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