Estimating incidence rates of grouped HPV types: A systematic review and comparison of the impact of different epidemiological assumptions

Background: Some studies on human papillomavirus (HPV) provide not only type-specific incidence rates (IR), but also IRs of HPV groupings (e.g. the nonavalent grouping). We made an inventory of the different approaches used to calculate such IRs and assessed their impact on the estimated IRs of HPV...

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Κύριοι συγγραφείς: Vita W. Jongen, Daniëla K. van Santen, Catharina J. Alberts, Maarten F. Schim van der Loeff
Μορφή: Άρθρο
Γλώσσα:English
Έκδοση: Elsevier 2019-12-01
Σειρά:Papillomavirus Research
Διαθέσιμο Online:http://www.sciencedirect.com/science/article/pii/S2405852119300102
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author Vita W. Jongen
Daniëla K. van Santen
Catharina J. Alberts
Maarten F. Schim van der Loeff
author_facet Vita W. Jongen
Daniëla K. van Santen
Catharina J. Alberts
Maarten F. Schim van der Loeff
author_sort Vita W. Jongen
collection DOAJ
description Background: Some studies on human papillomavirus (HPV) provide not only type-specific incidence rates (IR), but also IRs of HPV groupings (e.g. the nonavalent grouping). We made an inventory of the different approaches used to calculate such IRs and assessed their impact on the estimated IRs of HPV groupings. Methods: We performed a systematic review assessing all approaches used in literature to estimate IRs. Subsequently we applied these approaches to data of a Dutch cohort study on HPV in men who have sex with men (H2M). IRs were estimated for six different HPV groupings. Results: The systematic review yielded six different approaches (A-F) for estimating the IRs, varying in exclusion criteria at baseline, and the definitions of an incident event and person-time. Applying these approaches to the H2M dataset (n = 749), we found differences in the number of participants at risk, number of incidents events, person-time, and IR. For example, for the nonavalent grouping, depending on the approach chosen, the IR varied between 3.09 and 6.54 per 100 person-months. Conclusion: In published studies different epidemiological assumptions are used to estimate IRs of grouped HPV types, leading to widely differing estimates of IRs. IRs between different studies may therefore not be comparable. Keywords: Human papillomavirus, HPV, Incidence rate, Epidemiology
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spelling doaj.art-3b17e9dade974b79b36e5ee14b966a9c2022-12-21T22:39:31ZengElsevierPapillomavirus Research2405-85212019-12-018Estimating incidence rates of grouped HPV types: A systematic review and comparison of the impact of different epidemiological assumptionsVita W. Jongen0Daniëla K. van Santen1Catharina J. Alberts2Maarten F. Schim van der Loeff3Department of Infectious Diseases, Public Health Service Amsterdam, Amsterdam, the NetherlandsDepartment of Infectious Diseases, Public Health Service Amsterdam, Amsterdam, the NetherlandsDepartment of Infectious Diseases, Public Health Service Amsterdam, Amsterdam, the Netherlands; International Agency for Research on Cancer, Lyon, FranceDepartment of Infectious Diseases, Public Health Service Amsterdam, Amsterdam, the Netherlands; Amsterdam UMC, Univ of Amsterdam, Internal Medicine, Amsterdam Infection & Immunity Institute (AIII), Amsterdam, Netherlands; Corresponding author. Public Health Service Amsterdam, Nieuwe Achtergracht 100, 1018 WT, Amsterdam, the Netherlands.Background: Some studies on human papillomavirus (HPV) provide not only type-specific incidence rates (IR), but also IRs of HPV groupings (e.g. the nonavalent grouping). We made an inventory of the different approaches used to calculate such IRs and assessed their impact on the estimated IRs of HPV groupings. Methods: We performed a systematic review assessing all approaches used in literature to estimate IRs. Subsequently we applied these approaches to data of a Dutch cohort study on HPV in men who have sex with men (H2M). IRs were estimated for six different HPV groupings. Results: The systematic review yielded six different approaches (A-F) for estimating the IRs, varying in exclusion criteria at baseline, and the definitions of an incident event and person-time. Applying these approaches to the H2M dataset (n = 749), we found differences in the number of participants at risk, number of incidents events, person-time, and IR. For example, for the nonavalent grouping, depending on the approach chosen, the IR varied between 3.09 and 6.54 per 100 person-months. Conclusion: In published studies different epidemiological assumptions are used to estimate IRs of grouped HPV types, leading to widely differing estimates of IRs. IRs between different studies may therefore not be comparable. Keywords: Human papillomavirus, HPV, Incidence rate, Epidemiologyhttp://www.sciencedirect.com/science/article/pii/S2405852119300102
spellingShingle Vita W. Jongen
Daniëla K. van Santen
Catharina J. Alberts
Maarten F. Schim van der Loeff
Estimating incidence rates of grouped HPV types: A systematic review and comparison of the impact of different epidemiological assumptions
Papillomavirus Research
title Estimating incidence rates of grouped HPV types: A systematic review and comparison of the impact of different epidemiological assumptions
title_full Estimating incidence rates of grouped HPV types: A systematic review and comparison of the impact of different epidemiological assumptions
title_fullStr Estimating incidence rates of grouped HPV types: A systematic review and comparison of the impact of different epidemiological assumptions
title_full_unstemmed Estimating incidence rates of grouped HPV types: A systematic review and comparison of the impact of different epidemiological assumptions
title_short Estimating incidence rates of grouped HPV types: A systematic review and comparison of the impact of different epidemiological assumptions
title_sort estimating incidence rates of grouped hpv types a systematic review and comparison of the impact of different epidemiological assumptions
url http://www.sciencedirect.com/science/article/pii/S2405852119300102
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