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      Are European HIV cohort data within EuroCoord representative of the diagnosed HIV population?

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          Abstract

          Supplemental Digital Content is available in the text

          Abstract

          Objective:

          HIV cohorts are an important source of clinical data for informing public health policies and programmes. However, the generalizability of cohort findings to the wider population of people diagnosed with HIV in each country remains unclear. In this work, we assessed the representativeness of six large national HIV cohorts within Europe.

          Design and methods:

          Individual-level cohort data were provided from national cohorts in France, Germany, Greece, Italy, Spain and the United Kingdom. Analysis focused on new HIV diagnoses reported to The European Surveillance System (TESSy) during three time periods (2000–2004, 2005–2009 and 2010–2013), to allow for temporal changes. Cohort and TESSy records were matched and compared by age, sex, transmission mode, region of origin and CD4 + cell count at diagnosis. The probability of being included in each cohort given demographic characteristics was estimated and used to generate weights inversely proportional to the probability of being included.

          Results:

          Participating cohorts were generally representative of the national HIV-diagnosed population submitted to TESSy. However, people who inject drugs, those born in a country other than that reporting the data, those with low CD4 + cell counts at diagnosis, and those more than 55 years were generally underrepresented in the cohorts examined.

          Conclusion:

          These European cohorts capture a representative sample of the HIV-diagnosed populations in each country; however some groups may be underrepresented.

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          Most cited references27

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          Initiation of Antiretroviral Therapy in Early Asymptomatic HIV Infection

          New England Journal of Medicine, 373(9), 795-807
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            A Structural Approach to Selection Bias

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              A structural approach to selection bias.

              The term "selection bias" encompasses various biases in epidemiology. We describe examples of selection bias in case-control studies (eg, inappropriate selection of controls) and cohort studies (eg, informative censoring). We argue that the causal structure underlying the bias in each example is essentially the same: conditioning on a common effect of 2 variables, one of which is either exposure or a cause of exposure and the other is either the outcome or a cause of the outcome. This structure is shared by other biases (eg, adjustment for variables affected by prior exposure). A structural classification of bias distinguishes between biases resulting from conditioning on common effects ("selection bias") and those resulting from the existence of common causes of exposure and outcome ("confounding"). This classification also leads to a unified approach to adjust for selection bias.
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                Author and article information

                Journal
                AIDS
                AIDS
                AIDS
                AIDS (London, England)
                Lippincott Williams & Wilkins
                0269-9370
                1473-5571
                27 January 2019
                12 March 2018
                : 33
                : 1
                : 133-143
                Affiliations
                [a ]Department of Hygiene, Epidemiology and Medical Statistics, Medical School, NKUA, Athens, Greece
                [b ]European Centre for Disease Prevention and Control (ECDC), Stockholm, Sweden
                [c ]Santé Publique France, The French National Public Health Agency
                [d ]Sorbonne Université, INSERM, Institut Pierre Louis d’Epidémiologie et de Santé Publique (IPLESP), Paris
                [e ]Université Bordeaux, ISPED, Centre INSERM U1219 – Bordeaux Population Health, Bordeaux, France
                [f ]National Center of Epidemiology, Instituto de Salud Carlos III, Madrid, Spain
                [g ]Public Health England, London, UK
                [h ]Clinical Epidemiology Unit, National Institute for Infectious Diseases L. Spallanzani, Rome, Italy
                [i ]Institute for Global Health, University College London
                [j ]Department of Population Health, Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, UK
                [k ]STI Unit, Department of Infectious Disease Epidemiology HIV/AIDS, Robert Koch-Institute, Berlin, Germany
                [l ]Medical School, University of Cyprus, Nicosia, Cyprus
                [m ]Department of Epidemiology of Infectious Diseases and Surveillance, National Institute of Public Health-National Institute of Hygiene, Warsaw, Poland
                [n ]Centro Operativo AIDS, Istituto Superiore di Sanità, Rome, Italy
                [o ]Stichting HIV Monitoring, Amsterdam, The Netherlands.
                Author notes
                Correspondence to Dr Georgia Vourli, PhD, Department of Hygiene, Epidemiology and Medical Statistics, Medical School, NKUA, Mikras Asias 75 Street, Athens, Greece. Tel: +30 210746223; e-mail: gvourli@ 123456med.uoa.gr
                Article
                AIDS-D-18-00363 00014
                10.1097/QAD.0000000000002034
                6415981
                30289806
                3a2ce048-6c71-4d1c-97be-6918df186d19
                Copyright © 2018 The Author(s). Published by Wolters Kluwer Health, Inc.

                This is an open access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (CCBY-NC-ND), where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal. http://creativecommons.org/licenses/by-nc-nd/4.0

                History
                : 4 April 2018
                : 3 September 2018
                Categories
                Epidemiology and Social: Concise Communications
                Custom metadata
                TRUE

                cohorts,hiv,representativeness,surveillance
                cohorts, hiv, representativeness, surveillance

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