Serosorting Is Associated with a Decreased Risk of HIV Seroconversion in the EXPLORE Study Cohort
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{"title"=>"Serosorting is associated with a decreased risk of HIV seroconversion in the EXPLORE study cohort", "type"=>"journal", "authors"=>[{"first_name"=>"Susan S.", "last_name"=>"Philip", "scopus_author_id"=>"22941967700"}, {"first_name"=>"Xuesong", "last_name"=>"Yu", "scopus_author_id"=>"35199398500"}, {"first_name"=>"Deborah", "last_name"=>"Donnell", "scopus_author_id"=>"7003924646"}, {"first_name"=>"Eric", "last_name"=>"Vittinghoff", "scopus_author_id"=>"7005264413"}, {"first_name"=>"Susan", "last_name"=>"Buchbinder", "scopus_author_id"=>"35391587900"}], "year"=>2010, "source"=>"PLoS ONE", "identifiers"=>{"sgr"=>"77958572921", "doi"=>"10.1371/journal.pone.0012662", "pui"=>"359838967", "pmid"=>"20844744", "scopus"=>"2-s2.0-77958572921", "issn"=>"19326203", "isbn"=>"1932-6203"}, "id"=>"9362f1f7-bc7b-3f0e-a001-b01a92b0b9e3", "abstract"=>"BACKGROUND: Seroadaptation strategies such as serosorting and seropositioning originated within communities of men who have sex with men (MSM), but there are limited data about their effectiveness in preventing HIV transmission when utilized by HIV-negative men.\\n\\nMETHODOLOGY/PRINCIPAL FINDINGS: Data from the EXPLORE cohort of HIV-negative MSM who reported both seroconcordant and serodiscordant partners were used to evaluate serosorting and seropositioning. The association of serosorting and seropositioning with HIV seroconversion was evaluated in this cohort of high risk MSM from six U.S. cities. Serosorting was independently associated with a small decrease in risk of HIV seroconversion (OR=0.88; 95%CI, 0.81-0.95), even among participants reporting ≥10 partners. Those who more consistently practiced serosorting were more likely to be white (p=0.01), have completed college (p=<0.0002) and to have had 10 or more partners in the six months before the baseline visit (p=0.01) but did not differ in age, reporting HIV-infected partners, or drug use. There was no evidence of a seroconversion effect with seropositioning (OR 1.02, 95%CI, 0.92-1.14).\\n\\nSIGNIFICANCE: In high risk HIV uninfected MSM who report unprotected anal intercourse with both seroconcordant and serodiscordant partners, serosorting was associated with a modest decreased risk of HIV infection. To maximize any potential benefit, it will be important to increase accurate knowledge of HIV status, through increased testing frequency, improved test technology, and continued development of strategies to increase disclosure.", "link"=>"http://www.mendeley.com/research/serosorting-associated-decreased-risk-hiv-seroconversion-explore-study-cohort-4", "reader_count"=>26, "reader_count_by_academic_status"=>{"Unspecified"=>2, "Librarian"=>1, "Researcher"=>7, "Student > Doctoral Student"=>3, "Student > Ph. D. Student"=>6, "Student > Master"=>4, "Student > Bachelor"=>3}, "reader_count_by_user_role"=>{"Unspecified"=>2, "Librarian"=>1, "Researcher"=>7, "Student > Doctoral Student"=>3, "Student > Ph. D. Student"=>6, "Student > Master"=>4, "Student > Bachelor"=>3}, "reader_count_by_subject_area"=>{"Unspecified"=>5, "Nursing and Health Professions"=>3, "Medicine and Dentistry"=>4, "Agricultural and Biological Sciences"=>1, "Arts and Humanities"=>1, "Psychology"=>4, "Social Sciences"=>8}, "reader_count_by_subdiscipline"=>{"Medicine and Dentistry"=>{"Medicine and Dentistry"=>4}, "Social Sciences"=>{"Social Sciences"=>8}, "Psychology"=>{"Psychology"=>4}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>1}, "Nursing and Health Professions"=>{"Nursing and Health Professions"=>3}, "Unspecified"=>{"Unspecified"=>5}, "Arts and Humanities"=>{"Arts and Humanities"=>1}}, "reader_count_by_country"=>{"United Kingdom"=>1}, "group_count"=>3}

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  • {"files"=>["https://ndownloader.figshare.com/files/831003"], "description"=>"<p>Adjusted for race, number male partners, self-reported gonorrhea, depression, alcohol or drug use before sex, amphetamine use.</p>", "links"=>[], "tags"=>["hiv", "seroconversion", "seropositioning"], "article_id"=>501369, "categories"=>["Computational Biology", "Medicine", "Infectious Diseases"], "users"=>["Susan S. Philip", "Xuesong Yu", "Deborah Donnell", "Eric Vittinghoff", "Susan Buchbinder"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0012662.t004", "stats"=>{"downloads"=>1, "page_views"=>12, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Predictors_of_HIV_seroconversion_in_the_EXPLORE_seropositioning_subcohort_/501369", "title"=>"Predictors of HIV seroconversion in the EXPLORE seropositioning subcohort.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2013-02-20 23:33:35"}
  • {"files"=>["https://ndownloader.figshare.com/files/830887"], "description"=>"<p>Adjusted for race, number male partners, self-reported gonorrhea, depression, alcohol or drug use before sex, amphetamine use.</p>", "links"=>[], "tags"=>["hiv", "seroconversion", "serosorting"], "article_id"=>501251, "categories"=>["Computational Biology", "Medicine", "Infectious Diseases"], "users"=>["Susan S. Philip", "Xuesong Yu", "Deborah Donnell", "Eric Vittinghoff", "Susan Buchbinder"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0012662.t003", "stats"=>{"downloads"=>0, "page_views"=>7, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Predictors_of_HIV_seroconversion_in_the_EXPLORE_serosorting_subcohort_/501251", "title"=>"Predictors of HIV seroconversion in the EXPLORE serosorting subcohort.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2013-02-20 23:33:00"}
  • {"files"=>["https://ndownloader.figshare.com/files/830727"], "description"=>"<p>Distribution of seropositioning and serosorting scores.</p>", "links"=>[], "tags"=>["seropositioning", "serosorting"], "article_id"=>501091, "categories"=>["Computational Biology", "Medicine", "Infectious Diseases"], "users"=>["Susan S. Philip", "Xuesong Yu", "Deborah Donnell", "Eric Vittinghoff", "Susan Buchbinder"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0012662.g001", "stats"=>{"downloads"=>2, "page_views"=>10, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Distribution_of_seropositioning_and_serosorting_scores_/501091", "title"=>"Distribution of seropositioning and serosorting scores.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-02-20 23:32:12"}
  • {"files"=>["https://ndownloader.figshare.com/files/830965"], "description"=>"†<p>Serosorting Cohort compared to the entire EXPLORE Cohort.</p>‡<p>Seropositioning Cohort compared to the entire EXPLORE Cohort.</p>", "links"=>[], "tags"=>["characteristics", "behaviors", "reported", "baseline"], "article_id"=>501333, "categories"=>["Computational Biology", "Medicine", "Infectious Diseases"], "users"=>["Susan S. Philip", "Xuesong Yu", "Deborah Donnell", "Eric Vittinghoff", "Susan Buchbinder"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0012662.t001", "stats"=>{"downloads"=>0, "page_views"=>32, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Demographic_characteristics_and_risk_behaviors_reported_at_the_baseline_visit_/501333", "title"=>"Demographic characteristics and risk behaviors reported at the baseline visit.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2013-02-20 23:33:23"}

PMC Usage Stats | Further Information

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Relative Metric

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