Literature DB >> 10513654

The practical significance of potential biases in estimates of the AIDS incubation period distribution in the UK register of HIV seroconverters.

K Porter1, A M Johnson, A N Phillips, J H Darbyshire.   

Abstract

OBJECTIVES: To assess the practical significance of the following sources of bias for estimates of the AIDS incubation period in a large seroconverter cohort: estimation of the time of seroconversion; presentation with an HIV-related illness; preferential inclusion of survivors; loss to follow-up and analysis cut-off date; the inclusion of Kaposi's sarcoma as an AIDS event; death without an AIDS diagnosis; and representativeness of the HIV population.
METHODS: Standard non-parametric survival methods were used to estimate the AIDS incubation period distribution. The practical importance of each type of bias was assessed using various sensitivity analyses.
RESULTS: The potential sources of bias of most practical importance in this study were the right-censoring strategy and that due to lack of documentation of a negative HIV antibody test. Five different right-censoring strategies gave estimates of the median time to AIDS ranging from 8.1 to 10.8 years for the 1202 individuals enrolled in the UK Register of HIV Seroconverters. HIV-infected persons with a history of a previous antibody negative test which could not be verified appeared to progress to AIDS more rapidly than persons with such verification (Relative risk = 1.8, 95% confidence intervals = 1.3-2.3).
CONCLUSIONS: As a number of possible causes of bias can impact on results, care must be taken to document them and control for them wherever possible. In our study, this was particularly relevant in relation to the documentation of a previous HIV antibody negative test and the choice of analysis cut-off dates. As methods may differ between cohorts, comparison of the published results from one cohort with those of another may be misleading.

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Year:  1999        PMID: 10513654     DOI: 10.1097/00002030-199910010-00018

Source DB:  PubMed          Journal:  AIDS        ISSN: 0269-9370            Impact factor:   4.177


  6 in total

1.  Cohort studies in sexual health.

Authors:  C A Sabin; A N Phillips
Journal:  Sex Transm Infect       Date:  2001-06       Impact factor: 3.519

2.  Loss to follow-up in the Australian HIV Observational Database.

Authors:  Hamish McManus; Kathy Petoumenos; Katherine Brown; David Baker; Darren Russell; Tim Read; Don Smith; Lynne Wray; Michelle Giles; Jennifer Hoy; Andrew Carr; Matthew G Law
Journal:  Antivir Ther       Date:  2014-11-07

3.  Potential biases in estimates of hepatitis C RNA clearance in newly acquired hepatitis C infection among a cohort of injecting drug users.

Authors:  J Amin; M G Law; J Micallef; M Jauncey; I Van Beek; J M Kaldor; G J Dore
Journal:  Epidemiol Infect       Date:  2006-05-17       Impact factor: 2.451

4.  Factors influencing HIV progression in a seroconverter cohort in Madrid from 1985 to 1999.

Authors:  J del Amo; J del Romero; A Barrasa; S Pérez-Hoyos; C Rodríguez; M Díez; S García; V Soriano; J Castilla
Journal:  Sex Transm Infect       Date:  2002-08       Impact factor: 3.519

5.  Developing a Bayesian adaptive design for a phase I clinical trial: a case study for a novel HIV treatment.

Authors:  Alexina J Mason; Juan Gonzalez-Maffe; Killian Quinn; Nicki Doyle; Ken Legg; Peter Norsworthy; Roy Trevelion; Alan Winston; Deborah Ashby
Journal:  Stat Med       Date:  2016-11-27       Impact factor: 2.373

Review 6.  Do people with HIV infection have a normal life expectancy in the era of combination antiretroviral therapy?

Authors:  Caroline A Sabin
Journal:  BMC Med       Date:  2013-11-27       Impact factor: 8.775

  6 in total

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