HIV transmission risk through anal intercourse: systematic review, meta-analysis and implications for HIV prevention
01 Aug 2010-International Journal of Epidemiology (Oxford University Press)-Vol. 39, Iss: 4, pp 1048-1063
TL;DR: It was demonstrated that it would require unreasonably low numbers of AI HIV exposures per partnership to reconcile the summary per-act and per-partner estimates, suggesting considerable variability in AI infectiousness between and within partnerships over time.
Abstract: Background The human immunodeficiency virus (HIV) infectiousness of anal intercourse (AI) has not been systematically reviewed, despite its role driving HIV epidemics among men who have sex with men (MSM) and its potential contribution to heterosexual spread. We assessed the per-act and per-partner HIV transmission risk from AI exposure for heterosexuals and MSM and its implications for HIV prevention.
Methods Systematic review and meta-analysis of the literature on HIV-1 infectiousness through AI was conducted. PubMed was searched to September 2008. A binomial model explored the individual risk of HIV infection with and without highly active antiretroviral therapy (HAART).
Results A total of 62 643 titles were searched; four publications reporting per-act and 12 reporting per-partner transmission estimates were included. Overall, random effects model summary estimates were 1.4% [95% confidence interval (CI) 0.2–2.5)] and 40.4% (95% CI 6.0–74.9) for per-act and per-partner unprotected receptive AI (URAI), respectively. There was no significant difference between per-act risks of URAI for heterosexuals and MSM. Per-partner unprotected insertive AI (UIAI) and combined URAI–UIAI risk were 21.7% (95% CI 0.2–43.3) and 39.9% (95% CI 22.5–57.4), respectively, with no available per-act estimates. Per-partner combined URAI–UIAI summary estimates, which adjusted for additional exposures other than AI with a ‘main’ partner [7.9% (95% CI 1.2–14.5)], were lower than crude (unadjusted) estimates [48.1% (95% CI 35.3–60.8)]. Our modelling demonstrated that it would require unreasonably low numbers of AI HIV exposures per partnership to reconcile the summary per-act and per-partner estimates, suggesting considerable variability in AI infectiousness between and within partnerships over time. AI may substantially increase HIV transmission risk even if the infected partner is receiving HAART; however, predictions are highly sensitive to infectiousness assumptions based on viral load.
Conclusions Unprotected AI is a high-risk practice for HIV transmission, probably with substantial variation in infectiousness. The significant heterogeneity between infectiousness estimates means that pooled AI HIV transmission probabilities should be used with caution. Recent reported rises in AI among heterosexuals suggest a greater understanding of the role AI plays in heterosexual sex lives may be increasingly important for HIV prevention.
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TL;DR: Wang et al. as discussed by the authors investigated utilization of HIV testing and prevention services, and related factors that influence the MSM people to access HIV test or other services to prevent HIV among MSM in Beijing, China.
39 citations
TL;DR: FSW experience sexual, structural, and HIV risk outcomes and these risks are amplified for actively injecting FSWs and FSW who stopped injecting drugs demonstrated risk profiles closer to those of sex workers who had no history of injection.
39 citations
TL;DR: The authors found unexpectedly high levels of self-reported anal sex with women by male sex workers, including selling sex to female clients as well as with their own partners, and how HIV programming may respond.
Abstract: Objective: To investigate self-report of heterosexual anal intercourse among male sex workers who sell sex to men, and to identify the socio-demographic characteristics associated with practice of the behavior.
Design: Two cross-sectional surveys of male sex workers who sell sex to men in Mombasa, Kenya.
Methods: Male sex workers selling sex to men were invited to participate in surveys undertaken in 2006 and 2008. A structured questionnaire administered by trained interviewers was used to collect information on socio-demographic characteristics, sexual behaviors, HIV and STI knowledge, and health service usage. Data were analyzed through descriptive and inferential statistics. Bivariate logistic regression, after controlling for year of survey, was used to identify socio-demographic characteristics associated with heterosexual anal intercourse.
Results: From a sample of 867 male sex workers, 297 men had sex with a woman during the previous 30 days - of whom 45% did so with a female client and 86% with a non-paying female partner. Within these groups, 66% and 43% of male sex workers had anal intercourse with a female client and non-paying partner respectively. Factors associated with reporting recent heterosexual anal intercourse in bivariate logistic regression after controlling for year of survey participation were being Muslim, ever or currently married, living with wife only, living with a female partner only, living with more than one sexual partner, self-identifying as basha/king/bisexual, having one's own children, and lower education.
Conclusions: We found unexpectedly high levels of self-reported anal sex with women by male sex workers, including selling sex to female clients as well as with their own partners. Further investigation among women in Mombasa is needed to understand heterosexual anal sex practices, and how HIV programming may respond.
37 citations
TL;DR: A summary of the current gap in coverage of primary prevention services, how technology-based interventions and services can address gaps in coverage, and the current trends in the development and availability of technology- based primary prevention tools for use by MSM is provided.
Abstract: Men who have sex with men (MSM) are at disproportionate risk for HIV infection globally. The past 5 years have seen considerable advances in biomedical interventions to reduce the risk of HIV infection. To be impactful in reducing HIV incidence requires the rapid and expansive scale-up of prevention. One mechanism for achieving this is technology-based tools to improve knowledge, acceptability, and coverage of interventions and services. This review provides a summary of the current gap in coverage of primary prevention services, how technology-based interventions and services can address gaps in coverage, and the current trends in the development and availability of technology-based primary prevention tools for use by MSM. Results from agent-based models of HIV epidemics of MSM suggest that 40-50 % coverage of multiple primary HIV prevention interventions and services, including biomedical interventions like preexposure prophylaxis, will be needed to reduce HIV incidence among MSM. In the USA, current levels of coverage for all interventions, except HIV testing and condom distribution, fall well short of this target. Recent findings illustrate how technology-based HIV prevention tools can be used to provide certain kinds of services at much larger scale, with marginal incremental costs. A review of mobile apps for primary HIV prevention revealed that most are designed by nonacademic, nonpublic health developers, and only a small proportion of available mobile apps specifically address MSM populations. We are unlikely to reach the required scale of HIV prevention intervention coverage for MSM unless we can leverage technologies to bring key services to broad coverage for MSM. Despite an exciting pipeline of technology-based prevention tools, there are broader challenges with funding structures and sustainability that need to be addressed to realize the full potential of this emerging public health field.
37 citations
TL;DR: HIV prevalence among MSM is five times higher compared with men in the general population in Dodoma, Tanzania and the findings underscore the need for intensified HIV prevention programming addressing and involving key populations in Tanzania.
Abstract: Objectives To determine the seroprevalence of HIV, STI and related risks among men who have sex with men (MSM) in Dodoma municipality, Tanzania. Methods A cross-sectional study using respondent-driven sampling was employed to recruit study participants aged 18 years and above. Data on sociodemographics, HIV/STI knowledge and sexual practices were collected. Blood samples were tested for HIV and selected STIs. Results A total of 409 participants aged from 18 to 60 years took part in this study. The median age at first anal intercourse was 15 years. At last anal intercourse, 37.5% practiced receptive, 47.5% insertive and 15.0% both insertive and receptive anal intercourse. The seroprevalence of HIV, herpes simplex virus 2 (HSV-2), syphilis, hepatitis B virus and hepatitis C virus were 17.4%, 38.5%, 0.2%, 5.4% and 3.4%, respectively. A third of MSM perceived their risk for HIV to be low and this was associated with unprotected sex (adjusted OR (AOR), 4.8, 95% CI 1.8 to 10.2). HIV seropositivity was also associated with HSV-2 (AOR, 5.0, 95% CI 3.01 to 11.21); having lived outside Dodoma (AOR 1.7, 95% CI 1.1 to 6.7); age above 25 years; (AOR 2.1, 95% CI 1.7 to 3.7); sexual relationship with a woman (AOR 5.6, 95% CI 3.9 to 12.8); assuming a receptive (AOR 7.1, 95% CI 4.8 to 17.4) or receptive and insertive (AOR 4.5, 95% CI 1.9 to 11.4) position during last anal intercourse; engaging in group sex (AOR 3.1, 95% CI 1.2 to 6.1) and the use of alcohol (AOR 3.9, 95% CI 1.1 to 9.2). Conclusions HIV prevalence among MSM is five times higher compared with men in the general population in Dodoma. Perceived risk for HIV infection was generally low and low risk perception was associated with unprotected sex. STI, bisexuality and other behavioural risk factors played an important part in HIV transmission. The findings underscore the need for intensified HIV prevention programming addressing and involving key populations in Tanzania.
36 citations
References
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TL;DR: A new quantity is developed, I 2, which the authors believe gives a better measure of the consistency between trials in a meta-analysis, which is susceptible to the number of trials included in the meta- analysis.
Abstract: Cochrane Reviews have recently started including the quantity I 2 to help readers assess the consistency of the results of studies in meta-analyses. What does this new quantity mean, and why is assessment of heterogeneity so important to clinical practice?
Systematic reviews and meta-analyses can provide convincing and reliable evidence relevant to many aspects of medicine and health care.1 Their value is especially clear when the results of the studies they include show clinically important effects of similar magnitude. However, the conclusions are less clear when the included studies have differing results. In an attempt to establish whether studies are consistent, reports of meta-analyses commonly present a statistical test of heterogeneity. The test seeks to determine whether there are genuine differences underlying the results of the studies (heterogeneity), or whether the variation in findings is compatible with chance alone (homogeneity). However, the test is susceptible to the number of trials included in the meta-analysis. We have developed a new quantity, I 2, which we believe gives a better measure of the consistency between trials in a meta-analysis.
Assessment of the consistency of effects across studies is an essential part of meta-analysis. Unless we know how consistent the results of studies are, we cannot determine the generalisability of the findings of the meta-analysis. Indeed, several hierarchical systems for grading evidence state that the results of studies must be consistent or homogeneous to obtain the highest grading.2–4
Tests for heterogeneity are commonly used to decide on methods for combining studies and for concluding consistency or inconsistency of findings.5 6 But what does the test achieve in practice, and how should the resulting P values be interpreted?
A test for heterogeneity examines the null hypothesis that all studies are evaluating the same effect. The usual test statistic …
45,105 citations
TL;DR: A checklist contains specifications for reporting of meta-analyses of observational studies in epidemiology, including background, search strategy, methods, results, discussion, and conclusion should improve the usefulness ofMeta-an analyses for authors, reviewers, editors, readers, and decision makers.
Abstract: ObjectiveBecause of the pressure for timely, informed decisions in public health
and clinical practice and the explosion of information in the scientific literature,
research results must be synthesized. Meta-analyses are increasingly used
to address this problem, and they often evaluate observational studies. A
workshop was held in Atlanta, Ga, in April 1997, to examine the reporting
of meta-analyses of observational studies and to make recommendations to aid
authors, reviewers, editors, and readers.ParticipantsTwenty-seven participants were selected by a steering committee, based
on expertise in clinical practice, trials, statistics, epidemiology, social
sciences, and biomedical editing. Deliberations of the workshop were open
to other interested scientists. Funding for this activity was provided by
the Centers for Disease Control and Prevention.EvidenceWe conducted a systematic review of the published literature on the
conduct and reporting of meta-analyses in observational studies using MEDLINE,
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attendees and additional experts. All suggestions for revisions were addressed.ConclusionsThe proposed checklist contains specifications for reporting of meta-analyses
of observational studies in epidemiology, including background, search strategy,
methods, results, discussion, and conclusion. Use of the checklist should
improve the usefulness of meta-analyses for authors, reviewers, editors, readers,
and decision makers. An evaluation plan is suggested and research areas are
explored.
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TL;DR: The problem of making a combined estimate has been discussed previously by Cochran and Yates and Cochran (1937) for agricultural experiments, and by Bliss (1952) for bioassays in different laboratories as discussed by the authors.
Abstract: When we are trying to make the best estimate of some quantity A that is available from the research conducted to date, the problem of combining results from different experiments is encountered. The problem is often troublesome, particularly if the individual estimates were made by different workers using different procedures. This paper discusses one of the simpler aspects of the problem, in which there is sufficient uniformity of experimental methods so that the ith experiment provides an estimate xi of u, and an estimate si of the standard error of xi . The experiments may be, for example, determinations of a physical or astronomical constant by different scientists, or bioassays carried out in different laboratories, or agricultural field experiments laid out in different parts of a region. The quantity xi may be a simple mean of the observations, as in a physical determination, or the difference between the means of two treatments, as in a comparative experiment, or a median lethal dose, or a regression coefficient. The problem of making a combined estimate has been discussed previously by Cochran (1937) and Yates and Cochran (1938) for agricultural experiments, and by Bliss (1952) for bioassays in different laboratories. The last two papers give recommendations for the practical worker. My purposes in treating the subject again are to discuss it in more general terms, to take account of some recent theoretical research, and, I hope, to bring the practical recommendations to the attention of some biologists who are not acquainted with the previous papers. The basic issue with which this paper deals is as follows. The simplest method of combining estimates made in a number of different experiments is to take the arithmetic mean of the estimates. If, however, the experiments vary in size, or appear to be of different precision, the investigator may wonder whether some kind of weighted meani would be more precise. This paper gives recommendations about the kinds of weighted mean that are appropriate, the situations in which they
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TL;DR: The viral load is the chief predictor of the risk of heterosexual transmission of HIV-1, and transmission is rare among persons with levels of less than 1500 copies of HIV -1 RNA per milliliter.
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