Estimating the magnitude of STD cofactor effects on HIV transmission: how well can it be done?
BACKGROUND
If sexually transmitted disease (STD) cofactor effects are strong and STDs are highly prevalent, STD control can be a strategy for HIV prevention.


OBJECTIVE
To review possibilities for estimating cofactor effects of STDs on HIV transmission based on observational studies.


METHODS
This study consisted of an analysis of factors influencing associations between HIV and STDs, which can bias STD cofactor studies, from a sexual network perspective. Study designs that reduce distortions and methods to improve estimates in the presence of confounding are discussed.


RESULTS
Standard statistical adjustments of cofactor estimates are insufficient because they ignore clustering between HIV and STDs in partners of study subjects, resulting from population heterogeneity in risk factors and assortative mixing. Reverse causation due to HIV-related immunosuppression may further inflate cofactor estimates. Misclassification of STDs and clustering between STDs can bias estimates in either direction. This study demonstrates quantitatively that ignorance of sexual network effects may result in considerable overestimation of cofactor magnitudes.


CONCLUSIONS
The limitations of observational studies complicate quantitative inferences on the role of STDs in HIV transmission.
Korenromp
E L
EL
Department of Public Health, Erasmus University, Rotterdam, The Netherlands. korenromp@mgz.fgg.eur.nl
de Vlas
S J
SJ
Nagelkerke
N J
NJ
Habbema
J D
JD
D015986:Confounding Factors, Epidemiologic; D003627:Data Interpretation, Statistical; D004812:Epidemiologic Methods; D015658:HIV Infections / Q000453:epidemiology / Q000517:prevention & control / Q000635:transmission; D006801:Humans; D012107:Research Design; D012307:Risk Factors; D012747:Sexual Partners; D012749:Sexually Transmitted Diseases / Q000453:epidemiology* / Q000517:prevention & control / Q000635:transmission*