Evidence map›Paper›PMID 24498235›Full record

Trial reportPloS one2014

HSV-2 co-infection as a driver of HIV transmission among heterosexual non-injecting drug users in New York City.

Don C Des Jarlais, Kamyar Arasteh, Courtney McKnight, David C Perlman, Jonathan Feelemyer, Holly Hagan, Hannah L F Cooper

Open access · goldAbstract readRandomized Controlled Trial
In one paragraph

Trial report in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.1field-weighted citation impact, top 13% 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

13 citing papers in PubMed, 23 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Herpesviruses: Harmonious Pathogens but Relevant Cofactors in Other Diseases?Frontiers in cellular and infection microbiology · 2018
    Review
  6. Article
  7. Article
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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

7 authors at 3 institutions in 1 country.

Don C Des JarlaisThe Baron Edmond de Rothschild Chemical Dependency Institute, Beth Israel Medical Center, New York, New York, United States of America.
Kamyar ArastehThe Baron Edmond de Rothschild Chemical Dependency Institute, Beth Israel Medical Center, New York, New York, United States of America.
Courtney McKnightThe Baron Edmond de Rothschild Chemical Dependency Institute, Beth Israel Medical Center, New York, New York, United States of America.
David C PerlmanThe Baron Edmond de Rothschild Chemical Dependency Institute, Beth Israel Medical Center, New York, New York, United States of America.
Jonathan FeelemyerThe Baron Edmond de Rothschild Chemical Dependency Institute, Beth Israel Medical Center, New York, New York, United States of America.
Holly HaganSchool of Nursing, New York University, New York, New York, United States of America.
Hannah L F CooperRollins School of Public Health, Emory University, Atlanta, Georgia, United States of America.
Mount Sinai Beth Israel · USEmory University · USNew York University · US

Funding

Transdisciplinary Theoretical Svnthesis and Development CoreP30DA011041 · NIDA · NEW YORK UNIVERSITY · PI Holly Hagan · 1998 to 2026
$38.9M
Risk Factors for HIV/AIDS in Drug UsersR01DA003574 · NIDA · NEW YORK UNIVERSITY · PI DES JARLAIS, DON C, MCKNIGHT, COURTNEY · 1986 to 2025
$16.2M
NIDA NIH HHS 5 R01 DA 03574NIDA NIH HHS P30 DA011041NIDA NIH HHS R01 DA003574
6 · The paper itself

Abstract

objectiveTo examine herpes simplex virus 2 (HSV-2)/HIV co-infection as a contributing factor in the increase in HIV infection among non-injecting heroin and cocaine users in New York City.

methodsSubjects were recruited from the Beth Israel Medical Center drug detoxification and methadone maintenance programs in New York City in 1995-1999 and 2005-2011. All reported current heroin and/or cocaine use and no injection drug use. A structured questionnaire was administered and serum samples collected for HIV and HSV-2 testing. Population-attributable risk percentages (PAR%s) were estimated for associations between HSV-2 and increased susceptibility to and increased transmissibility of HIV among female NIDUs.

results785 subjects were recruited from 1995-1999, and 1764 subjects from 2005-2011. HIV prevalence increased from 7% to 13%, with nearly uniform increases among all demographic subgroups. HSV-2/HIV co-infection was common in both time periods, with an average (over the two time periods) of 80% of HIV negative females infected with HSV-2, an average of 43% of HIV negative males infected with HSV-2; an average of 97% of HIV positive females also infected with HSV-2 and an average of 67% of HIV positive males also infected with HSV-2. The increase in HIV prevalence was predominantly an increase in HSV-2/HIV co-infection, with relatively little HIV mono-infection in either time period. The estimated PAR%s indicate that approximately half of HIV acquisition among females was caused by HSV-2 infection and approximately 60% of HIV transmission from females was due to HSV-2 co-infection.

conclusionsThe increase in HIV infection among these non-injecting drug users is better considered as an increase in HSV-2/HIV co-infection rather than simply an increase in HIV prevalence. Additional interventions (such as treatment as prevention and suppressing the effects of HSV-2 on HIV transmission) are needed to reduce further HIV transmission from HSV-2/HIV co-infected non-injecting drug users.

Indexed as

Drug UsersHerpes GenitalisHerpesvirus 2, HumanHeterosexualityHIVAdultCocaine-Related DisordersFemaleHeroin DependenceHIV InfectionsHumansMaleMiddle AgedNew York CityPrevalenceRetrospective Studies

Identifiers

PMID24498235
PMCPMC3909306
OpenAlexW2074374845

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.