Evidence map›Paper›PMID 25888416›Full record

ArticleBMC medical research methodology2015

An application of propensity score weighting to quantify the causal effect of rectal sexually transmitted infections on incident HIV among men who have sex with men.

Adam S Vaughan, Colleen F Kelley, Nicole Luisi, Carlos del Rio, Patrick S Sullivan, Eli S Rosenberg

Open access · goldAbstract read
In one paragraph

Article in BMC medical research methodology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
3.1field-weighted citation impact, top 8% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

19 citing papers in PubMed, 1 synthesis or guideline pooled it, 37 citations in OpenAlex.

  1. Pooled it
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 1 institution in 1 country.

Adam S VaughanDepartment of Epidemiology, Rollins School of Public Health, Emory University, 1518 Clifton Rd NE, Atlanta, 30322, GA, USA. asvaugh@emory.edu.
Colleen F KelleyDepartment of Epidemiology, Rollins School of Public Health, Emory University, 1518 Clifton Rd NE, Atlanta, 30322, GA, USA. colleen.kelley@emory.edu.
Nicole LuisiDepartment of Epidemiology, Rollins School of Public Health, Emory University, 1518 Clifton Rd NE, Atlanta, 30322, GA, USA. nluisi@emory.edu.
Carlos del RioDivision of Infectious Diseases, Department of Medicine, Emory University School of Medicine, Atlanta, GA, USA. cdelrio@emory.edu.
Patrick S SullivanDepartment of Epidemiology, Rollins School of Public Health, Emory University, 1518 Clifton Rd NE, Atlanta, 30322, GA, USA. pssulli@emory.edu.
Eli S RosenbergDepartment of Epidemiology, Rollins School of Public Health, Emory University, 1518 Clifton Rd NE, Atlanta, 30322, GA, USA. esrose2@emory.edu.
Emory University · US

Funding

National Institute on Aging (NIA) ColonyP51OD011107 · OD · UNIVERSITY OF CALIFORNIA AT DAVIS · PI Simon J. Atkinson · 2012 to 2026
$191.5M
Virology and Molecular Biomarkers CoreP30AI050409 · NIAID · EMORY UNIVERSITY · PI Carlos del Rio · 2002 to 2026
$74.0M
Emory HIV/AIDS Clinical Trials UnitUM1AI069418 · NIAID · EMORY UNIVERSITY · PI Colleen F Kelley · 2012 to 2026
$46.0M
Atlanta Clinical and Translational Science Institute (ACTSI) RenewalUL1TR000454 · NCATS · EMORY UNIVERSITY · PI STEPHENS, DAVID S · 2012 to 2016
$25.8M
Explaining Differences in HIV Prevalence and Incidence in Black and White MSMR01MH085600 · NIMH · EMORY UNIVERSITY · PI SULLIVAN, PATRICK SEAN · 2009 to 2013
$2.9M
Defining the rectal mucosa in MSM at risk of HIV infectionK23AI108335 · NIAID · EMORY UNIVERSITY · PI KELLEY, COLLEEN F · 2013 to 2017
$855k
NCATS NIH HHS UL1 TR000454NCATS NIH HHS UL1TR000454NCRR NIH HHS P51RR169NIAID NIH HHS K23 AI108335NIAID NIH HHS K23AI108335NIAID NIH HHS P30 AI050409NIAID NIH HHS P30AI050409NIAID NIH HHS UM1 AI069418NIH HHS P51 OD011107NIH HHS P51OD11107NIMH NIH HHS R01 MH085600NIMH NIH HHS R01MH085600
6 · The paper itself

Abstract

backgroundExploring causal associations in HIV research requires careful consideration of numerous epidemiologic limitations. First, a primary cause of HIV, unprotected anal intercourse (UAI), is time-varying and, if it is also associated with an exposure of interest, may be on a confounding path. Second, HIV is a rare outcome, even in high-risk populations. Finally, for most causal, non-preventive exposures, a randomized trial is impossible. In order to address these limitations and provide a practical illustration of efficient statistical control via propensity-score weighting, we examine the causal association between rectal STI and HIV acquisition in the InvolveMENt study, a cohort of Atlanta-area men who have sex with men (MSM). We hypothesized that, after controlling for potentially confounding behavioral and demographic factors, the significant STI-HIV association would attenuate, but yield an estimate of the causal effect.

methodsThe exposure of interest was incident rectal gonorrhea or chlamydia infection; the outcome was incident HIV infection. To adjust for behavioral confounding, while accounting for limited HIV infections, we used an inverse probability of treatment weighted (IPTW) Cox proportional hazards (PH) model for incident HIV. Weights were derived from propensity score modeling of the probability of incident rectal STI as a function of potential confounders, including UAI in the interval of rectal STI acquisition/censoring.

resultsOf 556 HIV-negative MSM at baseline, 552 (99%) men were included in this analysis. 79 men were diagnosed with an incident rectal STI and 26 with HIV. 6 HIV-infected men were previously diagnosed with a rectal STI. In unadjusted analysis, incident rectal STI was significantly associated with subsequent incident HIV (HR (95%CI): 3.6 (1.4-9.2)). In the final weighted and adjusted model, the association was attenuated and more precise (HR (95% CI): 2.7 (1.2-6.4)).

conclusionsWe found that, controlling for time-varying risk behaviors and time-invariant demographic factors, diagnosis with HIV was significantly associated with prior diagnosis of rectal CT or GC. Our analysis lends support to the causal effect of incident rectal STI on HIV diagnosis and provides a framework for similar analyses of HIV incidence.

Indexed as

Homosexuality, MalePropensity ScoreAdultChlamydia InfectionsCohort StudiesGeorgiaGonorrheaHIV InfectionsHumansIncidenceMaleProportional Hazards ModelsRisk AssessmentRisk FactorsRisk-TakingSexually Transmitted Diseases

Identifiers

PMID25888416
PMCPMC4369368
OpenAlexW2154691164

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.