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Published in: BMC Public Health 1/2021

Open Access 01-12-2021 | Sexually Transmitted Infection | Research

Association of medical male circumcision and sexually transmitted infections in a population-based study using targeted maximum likelihood estimation

Authors: Lateef Amusa, Temesgen Zewotir, Delia North, Ayesha B. M. Kharsany, Lara Lewis

Published in: BMC Public Health | Issue 1/2021

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Abstract

Background

Epidemiological theory and many empirical studies support the hypothesis that there is a protective effect of male circumcision against some sexually transmitted infections (STIs). However, there is a paucity of randomized control trials (RCTs) to test this hypothesis in the South African population. Due to the infeasibility of conducting RCTs, estimating marginal or average treatment effects with observational data increases interest. Using targeted maximum likelihood estimation (TMLE), a doubly robust estimation technique, we aim to provide evidence of an association between medical male circumcision (MMC) and two STI outcomes.

Methods

HIV and HSV-2 status were the two primary outcomes for this study. We investigated the associations between MMC and these STI outcomes, using cross-sectional data from the HIV Incidence Provincial Surveillance System (HIPSS) study in KwaZulu-Natal, South Africa. HIV antibodies were tested from the blood samples collected in the study. For HSV-2, serum samples were tested for HSV-2 antibodies via an ELISA-based anti-HSV-2 IgG. We estimated marginal prevalence ratios (PR) using TMLE and compared estimates with those from propensity score full matching (PSFM) and inverse probability of treatment weighting (IPTW).

Results

From a total 2850 male participants included in the analytic sample, the overall weighted prevalence of HIV was 32.4% (n = 941) and HSV-2 was 53.2% (n = 1529). TMLE estimates suggest that MMC was associated with 31% lower HIV prevalence (PR: 0.690; 95% CI: 0.614, 0.777) and 21.1% lower HSV-2 prevalence (PR: 0.789; 95% CI: 0.734, 0.848). The propensity score analyses also provided evidence of association of MMC with lower prevalence of HIV and HSV-2. For PSFM: HIV (PR: 0.689; 95% CI: 0.537, 0.885), and HSV-2 (PR: 0.832; 95% CI: 0.709, 0.975). For IPTW: HIV (PR: 0.708; 95% CI: 0.572, 0.875), and HSV-2 (PR: 0.837; 95% CI: 0.738, 0.949).

Conclusion

Using a TMLE approach, we present further evidence of a protective association of MMC against HIV and HSV-2 in this hyper-endemic South African setting. TMLE has the potential to enhance the evidence base for recommendations that embrace the effect of public health interventions on health or disease outcomes.
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Literature
12.
go back to reference Hastie T, Tibshirani R, Friedman J. The elements of statistical learning: data mining, inference, and prediction. Newyork: Springer Science & Business Media; 2009. Hastie T, Tibshirani R, Friedman J. The elements of statistical learning: data mining, inference, and prediction. Newyork: Springer Science & Business Media; 2009.
24.
go back to reference Austin PC, Stuart EA. The performance of inverse probability of treatment weighting and full matching on the propensity score in the presence of model misspecification when estimating the effect of treatment on survival outcomes. Stat Methods Med Res. 2017;26(4):1654–70. https://doi.org/10.1177/0962280215584401.CrossRef Austin PC, Stuart EA. The performance of inverse probability of treatment weighting and full matching on the propensity score in the presence of model misspecification when estimating the effect of treatment on survival outcomes. Stat Methods Med Res. 2017;26(4):1654–70. https://​doi.​org/​10.​1177/​0962280215584401​.CrossRef
27.
go back to reference Gruber S, Van der Laan MJ. tmle: An R package for targeted maximum likelihood estimation; 2011. Gruber S, Van der Laan MJ. tmle: An R package for targeted maximum likelihood estimation; 2011.
29.
go back to reference Griefer N. WeightIt: Weighting for Covariate Balance in Observational Studies. R package version 0.9.0; 2020. Griefer N. WeightIt: Weighting for Covariate Balance in Observational Studies. R package version 0.9.0; 2020.
31.
go back to reference Human Sciences Research Council. The fifth South African national HIV prevalence, incidence, behaviour and communication survey, 2017: HIV impact assessment summary report. Cape Town: HSRC Press; 2018. Human Sciences Research Council. The fifth South African national HIV prevalence, incidence, behaviour and communication survey, 2017: HIV impact assessment summary report. Cape Town: HSRC Press; 2018.
Metadata
Title
Association of medical male circumcision and sexually transmitted infections in a population-based study using targeted maximum likelihood estimation
Authors
Lateef Amusa
Temesgen Zewotir
Delia North
Ayesha B. M. Kharsany
Lara Lewis
Publication date
01-12-2021

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