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      Systematic Review of the Use of Dried Blood Spots for Monitoring HIV Viral Load and for Early Infant Diagnosis

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          Abstract

          Background

          Dried blood spots (DBS) have been used as alternative specimens to plasma to increase access to HIV viral load (VL) monitoring and early infant diagnosis (EID) in remote settings. We systematically reviewed evidence on the performance of DBS compared to plasma for VL monitoring and EID.

          Methods and Findings

          Thirteen peer reviewed HIV VL publications and five HIV EID papers were included. Depending on the technology and the viral load distribution in the study population, the percentage of DBS samples that are within 0.5 log of VL in plasma ranged from 52–100%. Because the input sample volume is much smaller in a blood spot, there is a risk of false negatives with DBS. Sensitivity of DBS VL was found to be 78–100% compared to plasma at VL below 1000 copies/ml, but this increased to 100% at a threshold of 5000 copies/ml. Unlike a plasma VL test which measures only cell free HIV RNA, a DBS VL also measures proviral DNA as well as cell-associated RNA, potentially leading to false positive results when using DBS. The systematic review showed that specificity was close to 100% at DBS VL above 5000 copies/ml, and this threshold would be the most reliable for predicting true virologic failure using DBS. For early infant diagnosis, DBS has a sensitivity of 100% compared to fresh whole blood or plasma in all studies.

          Conclusions

          Although limited data are available for EID, DBS offer a highly sensitive and specific sampling strategy to make viral load monitoring and early infant diagnosis more accessible in remote settings. A standardized approach for sampling, storing, and processing DBS samples would be essential to allow successful implementation.

          Trial Registration

          PROSPERO Registration #: CRD42013003621.

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          Most cited references48

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          Towards complete and accurate reporting of studies of diagnostic accuracy: the STARD initiative. Standards for Reporting of Diagnostic Accuracy.

          To comprehend the results of diagnostic accuracy studies, readers must understand the design, conduct, analysis, and results of such studies. That goal can be achieved only through complete transparency from authors. To improve the accuracy and completeness of reporting of studies of diagnostic accuracy to allow readers to assess the potential for bias in the study and to evaluate its generalisability. The Standards for Reporting of Diagnostic Accuracy (STARD) steering committee searched the literature to identify publications on the appropriate conduct and reporting of diagnostic studies and extracted potential items into an extensive list. Researchers, editors, and members of professional organisations shortened this list during a two-day consensus meeting with the goal of developing a checklist and a generic flow diagram for studies of diagnostic accuracy. The search for published guidelines on diagnostic research yielded 33 previously published checklists, from which we extracted a list of 75 potential items. The consensus meeting shortened the list to 25 items, using evidence on bias whenever available. A prototypical flow diagram provides information about the method of patient recruitment, the order of test execution and the numbers of patients undergoing the test under evaluation, the reference standard or both. Evaluation of research depends on complete and accurate reporting. If medical journals adopt the checklist and the flow diagram, the quality of reporting of studies of diagnostic accuracy should improve to the advantage of clinicians, researchers, reviewers, journals, and the public.
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            The STARD statement for reporting studies of diagnostic accuracy: explanation and elaboration.

            The quality of reporting of studies of diagnostic accuracy is less than optimal. Complete and accurate reporting is necessary to enable readers to assess the potential for bias in the study and to evaluate the generalisability of the results. A group of scientists and editors has developed the STARD (Standards for Reporting of Diagnostic Accuracy) statement to improve the reporting the quality of reporting of studies of diagnostic accuracy. The statement consists of a checklist of 25 items and flow diagram that authors can use to ensure that all relevant information is present. This explanatory document aims to facilitate the use, understanding and dissemination of the checklist. The document contains a clarification of the meaning, rationale and optimal use of each item on the checklist, as well as a short summary of the available evidence on bias and applicability. The STARD statement, checklist, flowchart and this explanation and elaboration document should be useful resources to improve reporting of diagnostic accuracy studies. Complete and informative reporting can only lead to better decisions in healthcare.
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              The STARD Statement for Reporting Studies of Diagnostic Accuracy: Explanation and Elaboration

              The quality of reporting of studies of diagnostic accuracy is less than optimal. Complete and accurate reporting is necessary to enable readers to assess the potential for bias in the study and to evaluate the generalisability of the results. A group of scientists and editors has developed the STARD (Standards for Reporting of Diagnostic Accuracy) statement to improve the reporting the quality of reporting of studies of diagnostic accuracy. The statement consists of a checklist of 25 items and flow diagram that authors can use to ensure that all relevant information is present. This explanatory document aims to facilitate the use, understanding and dissemination of the checklist. The document contains a clarification of the meaning, rationale and optimal use of each item on the checklist, as well as a short summary of the available evidence on bias and applicability. The STARD statement, checklist, flowchart and this explanation and elaboration document should be useful resources to improve reporting of diagnostic accuracy studies. Complete and informative reporting can only lead to better decisions in healthcare.
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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, USA )
                1932-6203
                2014
                6 March 2014
                : 9
                : 3
                : e86461
                Affiliations
                [1 ]Department of Clinical Research, London School of Hygiene and Tropical Medicine, London, United Kingdom
                [2 ]Department of Microbiology and Immunology, University of North Carolina, Chapel Hill, North Carolina, United States of America
                [3 ]Department of HIV/AIDS, World Health Organization, Geneva, Switzerland
                [4 ]HIV, Medicine and Science, Clinton Health Access Initiative, New York, New York, United States of America
                [5 ]Department of Haematology, UK NEQAS for Leucocyte Immunophenotyping, Sheffield, United Kingdom
                [6 ]Department of Technology and Innovation, Pangaea Global AIDS Foundation, San Fransisco, California, United States of America
                [7 ]Centre for Biomedical Research, Burnet Institute, Melbourne, Australia
                [8 ]Department of Medicine, Duke Human Vaccine Institute and Center for HIV/AIDS Vaccine Immunology, Durham, North Carolina, United States of America
                [9 ]Department of Immunology- Microbiology, Rush University Medical Center, Chicago, Illinois, United States of America
                [10 ]Department of Molecular Medicine and Haematology, University of the Witwatersrand, Johannesburg, South Africa
                [11 ]Department of HIV/AIDS, World Health Organization, Geneva, Switzerland
                [12 ]Department of Clinical Research, London School of Hygiene & Tropical Medicine, London, United Kingdom
                Institute of Infection and Global Health, United Kingdom
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Conceived and designed the experiments: RWP PS KAS MV SE SF. Performed the experiments: PS KAS. Analyzed the data: PS KAS RWP SF NF MV. Wrote the paper: PS KAS RWP SF NF MV SE DB BC SMC TD AL WS VH JP.

                Article
                PONE-D-13-39842
                10.1371/journal.pone.0086461
                3945725
                24603442
                bfb8acdf-3830-42f8-8734-3ff69e72526c
                Copyright @ 2014

                This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 27 September 2013
                : 10 December 2013
                Page count
                Pages: 8
                Funding
                Funding was provided by the World Health Organization (grant number HQHIV0801828). The decision to write this article was not influenced by any diagnostic or commercial company. The mention of specific companies or of certain manufacturers‚ products does not imply that they are endorsed or recommended by the World Health Organization in preference to other of a similar nature that are not mentioned. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Medicine
                Clinical Research Design
                Epidemiology
                Systematic Reviews
                Diagnostic Medicine
                Test Evaluation
                Epidemiology
                Clinical Epidemiology
                Infectious Disease Epidemiology
                Pediatric Epidemiology
                Infectious diseases
                Viral diseases
                HIV
                HIV diagnosis and management
                Non-Clinical Medicine
                Health Services Research
                Public Health
                Child Health
                Health Screening

                Uncategorized
                Uncategorized

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