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• {"link"=>{"url"=>"http://www.citeulike.org/group/10570/article/12974365"}, "post_time"=>"2014-02-06 13:44:23", "tag"=>["pathogens", "staffpaper"], "linkout"=>{"type"=>"DOI", "url"=>"http://dx.doi.org/10.1371/journal.pone.0086719"}, "group"=>"Journal picks", "group_id"=>"10570", "article_id"=>"12974365"}
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{"title"=>"An evaluation of HIV elite controller definitions within a large seroconverter cohort collaboration", "type"=>"journal", "authors"=>[{"first_name"=>"Ashley D.", "last_name"=>"Olson", "scopus_author_id"=>"55886472300"}, {"first_name"=>"Laurence", "last_name"=>"Meyer", "scopus_author_id"=>"7203050208"}, {"first_name"=>"Maria", "last_name"=>"Prins", "scopus_author_id"=>"7102085623"}, {"first_name"=>"Rodolphe", "last_name"=>"Thiebaut", "scopus_author_id"=>"7004041016"}, {"first_name"=>"Deepti", "last_name"=>"Gurdasani", "scopus_author_id"=>"24401522500"}, {"first_name"=>"Marguerite", "last_name"=>"Guiguet", "scopus_author_id"=>"19434602300"}, {"first_name"=>"Marie Laure", "last_name"=>"Chaix", "scopus_author_id"=>"34568404900"}, {"first_name"=>"Pauli", "last_name"=>"Amornkul", "scopus_author_id"=>"6602494817"}, {"first_name"=>"Abdel", "last_name"=>"Babiker", "scopus_author_id"=>"7004544555"}, {"first_name"=>"Manjinder S.", "last_name"=>"Sandhu", "scopus_author_id"=>"7004012378"}, {"first_name"=>"Kholoud", "last_name"=>"Porter", "scopus_author_id"=>"7202104963"}], "year"=>2014, "source"=>"PLoS ONE", "identifiers"=>{"issn"=>"19326203", "isbn"=>"1932-6203 (Electronic)\\r1932-6203 (Linking)", "pui"=>"373059349", "sgr"=>"84900338995", "doi"=>"10.1371/journal.pone.0086719", "scopus"=>"2-s2.0-84900338995", "pmid"=>"24489776"}, "id"=>"57e1ef8e-96f1-341a-8ea3-0c63c686a228", "abstract"=>"BACKGROUND Understanding the mechanisms underlying viral control is highly relevant to vaccine studies and elite control (EC) of HIV infection. Although numerous definitions of EC exist, it is not clear which, if any, best identify this rare phenotype. METHODS We assessed a number of EC definitions used in the literature using CASCADE data of 25,692 HIV seroconverters. We estimated proportions maintaining EC of total ART-naïve follow-up time, and disease progression, comparing to non-EC. We also examined HIV-RNA and CD4 values and CD4 slope during EC and beyond (while ART naïve). RESULTS Most definitions classify ∼ 1% as ECs with median HIV-RNA 43-903 copies/ml and median CD4>500 cells/mm(3). Beyond EC status, median HIV-RNA levels remained low, although often detectable, and CD4 values high but with strong evidence of decline for all definitions. Median % ART-naïve time as EC was ≥ 92% although overlap between definitions was low. EC definitions with consecutive HIV-RNA measurements <75 copies/ml with follow-up ≥ six months, or with 90% of measurements <400 copies/ml over ≥ 10 year follow-up preformed best overall. Individuals thus defined were less likely to progress to endpoint (hazard ratios ranged from 12.5-19.0 for non-ECs compared to ECs). CONCLUSIONS ECs are rare, less likely to progress to clinical disease, but may eventually lose control. We suggest definitions requiring individuals to have consecutive undetectable HIV-RNA measurements for ≥ six months or otherwise with >90% of measurements <400 copies/ml over ≥ 10 years be used to define this phenotype.", "link"=>"http://www.mendeley.com/research/evaluation-hiv-elite-controller-definitions-within-large-seroconverter-cohort-collaboration", "reader_count"=>51, "reader_count_by_academic_status"=>{"Unspecified"=>1, "Professor > Associate Professor"=>2, "Researcher"=>12, "Student > Doctoral Student"=>3, "Student > Ph. D. Student"=>12, "Student > Postgraduate"=>3, "Student > Master"=>9, "Other"=>4, "Student > Bachelor"=>4, "Lecturer > Senior Lecturer"=>1}, "reader_count_by_user_role"=>{"Unspecified"=>1, "Professor > Associate Professor"=>2, "Researcher"=>12, "Student > Doctoral Student"=>3, "Student > Ph. D. Student"=>12, "Student > Postgraduate"=>3, "Student > Master"=>9, "Other"=>4, "Student > Bachelor"=>4, "Lecturer > Senior Lecturer"=>1}, "reader_count_by_subject_area"=>{"Unspecified"=>4, "Biochemistry, Genetics and Molecular Biology"=>5, "Nursing and Health Professions"=>1, "Mathematics"=>2, "Medicine and Dentistry"=>19, "Agricultural and Biological Sciences"=>9, "Pharmacology, Toxicology and Pharmaceutical Science"=>1, "Social Sciences"=>1, "Computer Science"=>1, "Immunology and Microbiology"=>8}, "reader_count_by_subdiscipline"=>{"Medicine and Dentistry"=>{"Medicine and Dentistry"=>19}, "Social Sciences"=>{"Social Sciences"=>1}, "Immunology and Microbiology"=>{"Immunology and Microbiology"=>8}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>9}, "Computer Science"=>{"Computer Science"=>1}, "Nursing and Health Professions"=>{"Nursing and Health Professions"=>1}, "Biochemistry, Genetics and Molecular Biology"=>{"Biochemistry, Genetics and Molecular Biology"=>5}, "Mathematics"=>{"Mathematics"=>2}, "Unspecified"=>{"Unspecified"=>4}, "Pharmacology, Toxicology and Pharmaceutical Science"=>{"Pharmacology, Toxicology and Pharmaceutical Science"=>1}}, "reader_count_by_country"=>{"Sweden"=>1, "South Africa"=>1}, "group_count"=>4}

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• http://doi.org/10.5604/01.3001.0010.7044
• http://doi.org/10.1038/s41598-018-33481-0
• http://doi.org/10.1097/QAD.0000000000001050
• http://doi.org/10.1097/QAD.0000000000000367
• http://doi.org/10.1002/jia2.25254
• http://doi.org/10.1080/15284336.2018.1531534
• http://doi.org/10.1097/QAD.0000000000001443
• http://doi.org/10.1080/08830185.2016.1225301
• http://doi.org/10.1111/hiv.12680
• http://doi.org/10.1097/QAD.0000000000000860
• http://doi.org/10.1097/QAD.0000000000001227
• http://doi.org/10.1371/journal.pone.0158854
• http://doi.org/10.1097/COH.0000000000000488
• http://doi.org/10.1016/S2352-3018(15)00245-3
• http://doi.org/10.1080/15284336.2018.1429846
• http://doi.org/10.1097/QAD.0000000000002043
• http://doi.org/10.1111/hiv.12820
• http://doi.org/10.1371/journal.pone.0131922
• http://doi.org/10.3389/fmicb.2019.00673
• http://doi.org/10.2217/fvl-2018-0207
• http://doi.org/10.1186/s12879-018-2961-8
• http://doi.org/10.1371/journal.ppat.1007222
• http://doi.org/10.3390/v11030269
• http://doi.org/10.1089/aid.2015.0226
• http://doi.org/10.1186/s13567-015-0188-x
• http://doi.org/10.1177/0956462415584467
• http://doi.org/10.1172/jci.insight.130664
• http://doi.org/10.1093/cid/ciz1178
• http://doi.org/10.1093/jac/dkw474
• http://doi.org/10.1016/j.ebiom.2017.11.031
• http://doi.org/10.1371/journal.pone.0218936
• http://doi.org/10.1093/ofid/ofx064
• http://doi.org/10.1186/s12879-017-2491-9
• http://doi.org/10.1371/journal.pone.0161920
• http://doi.org/10.1097/QAD.0000000000000805
• http://doi.org/10.1038/s41598-017-06675-1
• http://doi.org/10.1007/s40506-018-0158-8
• http://doi.org/10.1038/s41598-017-00759-8
• http://doi.org/10.1016/j.jcv.2017.10.005

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• {"referral"=>"http://tagbasicscienceproject.typepad.com/tags_basic_science_vaccin/2014/02/defining-elite-controllers.html", "language"=>"English", "title"=>"Defining Elite Controllers - Michael Palm HIV Basic Science, Vaccines, and Cure Project Blog", "type"=>"Blog", "publication"=>"", "published_on"=>"", "link_state"=>""}

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• {"url"=>"http%3A%2F%2Fjournals.plos.org%2Fplosone%2Farticle%3Fid%3D10.1371%252Fjournal.pone.0086719", "share_count"=>0, "like_count"=>0, "comment_count"=>0, "click_count"=>0, "total_count"=>0}

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• {"type"=>"COMMENT", "annotationUri"=>"info:doi/10.1371/annotation/3a7d164e-966a-4c41-acc5-39a29a158299", "title"=>"Units?", "body"=>"Perhaps this is a naive question or I am missing it, but what are your units for the CD4 slope? These slopes are presented without any units, and only described as modeled on a square root scale. I am guessing the original units are cells per microliter blood, and that the time unit is years, but I cannot find it explicitly stated anywhere. Thanks.", "highlightedText"=>"", "isRemoved"=>false, "created"=>"2016-09-10T04:52:37Z", "lastModified"=>"2016-09-10T04:52:37Z", "creator"=>{"userId"=>"134967"}, "competingInterestStatement"=>{"creatorWasPrompted"=>true, "hasCompetingInterests"=>false}, "parentArticle"=>{"doi"=>"info:doi/10.1371/journal.pone.0086719", "state"=>"published", "journals"=>{"PLoSONE"=>{"journalKey"=>"PLoSONE", "eIssn"=>"1932-6203", "title"=>"PLOS ONE"}}}, "replyTreeSize"=>0, "mostRecentActivity"=>"2016-09-10T04:52:37Z", "replies"=>[]}

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• {"id"=>"430715088387862528", "text"=>"An Evaluation of #HIV Elite Controller Definitions within a Large Seroconverter Cohort Collaboration http://t.co/YKMeNu6If1 @PLOSONE", "created_at"=>"2014-02-04T14:50:54Z", "user"=>"TAGHIVscience", "user_name"=>"TAGHIVscience", "user_profile_image"=>"http://pbs.twimg.com/profile_images/378800000408365735/6faf498418bf2dc907cbb5eb08461603_normal.png"}
• {"id"=>"533712390588624896", "text"=>"@HackHIV see: http://t.co/friIf0BkrS, http://t.co/Cq2w6nTBV7, http://t.co/YKMeNuXvDd", "created_at"=>"2014-11-15T20:05:24Z", "user"=>"TAGHIVscience", "user_name"=>"TAGHIVscience", "user_profile_image"=>"http://pbs.twimg.com/profile_images/378800000408365735/6faf498418bf2dc907cbb5eb08461603_normal.png"}
• {"id"=>"609177063803723776", "text"=>"@PLOSPathogens @ragoninstitute misleading press release unfortunately, #HIV not \"harmless\" in many elite controllers http://t.co/IDl7cr2DAT", "created_at"=>"2015-06-12T01:55:04Z", "user"=>"TAGHIVscience", "user_name"=>"TAGHIVscience", "user_profile_image"=>"http://pbs.twimg.com/profile_images/378800000408365735/6faf498418bf2dc907cbb5eb08461603_normal.png"}
• {"id"=>"609308790312300544", "text"=>"@newscientist http://t.co/IDl7cr2DAT, http://t.co/DS8TsRl4AJ, http://t.co/Cq2w6nkpVv, http://t.co/Sk1op8Ww5a", "created_at"=>"2015-06-12T10:38:30Z", "user"=>"TAGHIVscience", "user_name"=>"TAGHIVscience", "user_profile_image"=>"http://pbs.twimg.com/profile_images/378800000408365735/6faf498418bf2dc907cbb5eb08461603_normal.png"}

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• {"files"=>["https://ndownloader.figshare.com/files/1364109"], "description"=>"††<p>Number of Elites making it to 10 years follow up without experiencing composite endpoint and number subsequently experiencing composite endpoint.</p>†<p>Hazard ratios comparing ECs to Non-ECs (including those with unknown EC status) allowing for late entry at 10 years. For each definition, p-values were obtained from unadjusted log-rank test for time to composite endpoint and were all highly significant p<0.001.</p>‡<p>Statistically different HRs compared to definition E, F, and A from 1000 bootstrap replicates. No definitions were statistically different from definition J at α = 0.05.</p>ŧ<p><b>A</b>: HIV-positive ≥6 months, with ≥2 consecutive HIV-RNA <75 copies/ml; <b>B</b>: HIV- positive ≥1 year, with ≥1 HIV-RNA <50 copies/ml, <b>C</b>: HIV- positive ≥1 year, with ≥1 HIV-RNA <75 copies/ml, <b>D</b>: HIV- positive ≥1 year, with ≥3 HIV-RNA <2000 copies/ml, <b>E</b>: HIV- positive ≥1 year, with ≥3 consecutive HIV-RNA <75 copies/ml spanning ≥12 months <b>F</b>: HIV- positive ≥1 year, with ≥3 consecutive HIV-RNA <75 copies/ml spanning ≥12 months with no previous blips ≥1000 copies/ml, <b>G</b>:HIV- positive ≥2 years, with ≥2 HIV-RNA <75 copies/ml, <b>H</b>: HIV- positive ≥5 years, with ≥5 consecutive HIV-RNA <500 copies/ml, <b>I</b>: HIV- positive ≥10 years, with all measured HIV-RNA <50 copies/ml, <b>J</b>: HIV-positive ≥10 years, with ≥90% of HIV-RNA (≥2 HIV-RNA ever) <400 copies/ml.</p>", "links"=>[], "tags"=>["statistics", "Clinical research design", "Retrospective studies", "epidemiology", "Infectious diseases", "Sexually transmitted diseases", "aids", "Viral diseases", "hiv", "HIV clinical manifestations", "HIV diagnosis and management", "HIV epidemiology", "ratios", "comparing", "non-elite", "controllers", "ec", "seroconversion", "composite", "endpoint", "restricting", "10", "years", "cascade", "dataset", "applied", "definitions"], "article_id"=>916213, "categories"=>["Mathematics", "Medicine"], "users"=>["Ashley D. Olson", "Laurence Meyer", "Maria Prins", "Rodolphe Thiebaut", "Deepti Gurdasani", "Marguerite Guiguet", "Marie-Laure Chaix", "Pauli Amornkul", "Abdel Babiker", "Manjinder S. Sandhu", "Kholoud Porter"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0086719.t004", "stats"=>{"downloads"=>1, "page_views"=>19, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Estimated_hazard_ratios_comparing_non_elite_controllers_EC_and_unknown_to_EC_for_time_from_estimated_HIV_seroconversion_to_a_composite_endpoint_of_AIDS_Death_ART_or_CD4_3_restricting_entry_to_the_risk_set_at_10_years_post_seroconversion_using_the_CASCADE/916213", "title"=>"Estimated hazard ratios comparing non-elite controllers (EC) and unknown to EC for time from estimated HIV seroconversion to a composite endpoint of AIDS, Death, ART, or CD4<350 cells/mm³ restricting entry to the risk set at 10 years post seroconversion using the CASCADE dataset applied to 10 definitions of EC found in the literature.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2014-01-28 03:15:04"}
• {"files"=>["https://ndownloader.figshare.com/files/1364108"], "description"=>"<p>Note- all values unless otherwise stated are median (IQR).</p>†<p>CD4 slope modelled on the square root scale with linear mixed models, specific p-values for CD4 slope and median number of CD4 measurements are presented in <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0086719#pone.0086719.s001\" target=\"_blank\">Table S1</a>.</p>‡<p>CD4 slope highly significant p<0.001.</p><p>Ŧ Number of total CD4 and HIV-RNA measurements <b>^ŧ A</b>: HIV-positive ≥6 months, with ≥2 consecutive HIV-RNA <75 copies/ml; <b>B</b>: HIV- positive ≥1 year, with ≥1 HIV-RNA <50 copies/ml, <b>C</b>: HIV- positive ≥1 year, with ≥1 HIV-RNA <75 copies/ml, <b>D</b>: HIV- positive ≥1 year, with ≥3 HIV-RNA <2000 copies/ml, <b>E</b>: HIV- positive ≥1 year, with ≥3 consecutive HIV-RNA <75 copies/ml spanning ≥12 months <b>F</b>: HIV- positive ≥1 year, with ≥3 consecutive HIV-RNA <75 copies/ml spanning ≥12 months with no previous blips ≥1000 copies/ml, <b>G</b>:HIV- positive ≥2 years, with ≥2 HIV-RNA <75 copies/ml, <b>H</b>: HIV- positive ≥5 years, with ≥5 consecutive HIV-RNA <500 copies/ml, <b>I</b>: HIV- positive ≥10 years, with all measured HIV-RNA <50 copies/ml, <b>J</b>: HIV-positive ≥10 years, with ≥90% of HIV-RNA (≥2 HIV-RNA ever) <400 copies/ml.</p>", "links"=>[], "tags"=>["statistics", "Clinical research design", "Retrospective studies", "epidemiology", "Infectious diseases", "Sexually transmitted diseases", "aids", "Viral diseases", "hiv", "HIV clinical manifestations", "HIV diagnosis and management", "HIV epidemiology", "cd4", "follow-up", "cascade", "dataset", "applied", "10", "definitions", "ec"], "article_id"=>916212, "categories"=>["Mathematics", "Medicine"], "users"=>["Ashley D. Olson", "Laurence Meyer", "Maria Prins", "Rodolphe Thiebaut", "Deepti Gurdasani", "Marguerite Guiguet", "Marie-Laure Chaix", "Pauli Amornkul", "Abdel Babiker", "Manjinder S. Sandhu", "Kholoud Porter"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0086719.t005", "stats"=>{"downloads"=>0, "page_views"=>13, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_HIV_RNA_and_CD4_values_and_estimated_CD4_slope_during_elite_control_EC_and_throughout_ART_na_239_ve_follow_up_using_the_CASCADE_dataset_applied_to_10_definitions_of_EC_found_in_the_literature_/916212", "title"=>"HIV-RNA and CD4 values and estimated CD4 slope during elite control (EC), and throughout ART-naïve follow-up using the CASCADE dataset applied to 10 definitions of EC found in the literature.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2014-01-28 03:15:04"}
• {"files"=>["https://ndownloader.figshare.com/files/1364113"], "description"=>"<div><p>Background</p><p>Understanding the mechanisms underlying viral control is highly relevant to vaccine studies and elite control (EC) of HIV infection. Although numerous definitions of EC exist, it is not clear which, if any, best identify this rare phenotype.</p><p>Methods</p><p>We assessed a number of EC definitions used in the literature using CASCADE data of 25,692 HIV seroconverters. We estimated proportions maintaining EC of total ART-naïve follow-up time, and disease progression, comparing to non-EC. We also examined HIV-RNA and CD4 values and CD4 slope during EC and beyond (while ART naïve).</p><p>Results</p><p>Most definitions classify ∼1% as ECs with median HIV-RNA 43–903 copies/ml and median CD4>500 cells/mm³. Beyond EC status, median HIV-RNA levels remained low, although often detectable, and CD4 values high but with strong evidence of decline for all definitions. Median % ART-naïve time as EC was ≥92% although overlap between definitions was low. EC definitions with consecutive HIV-RNA measurements <75 copies/ml with follow-up≥ six months, or with 90% of measurements <400 copies/ml over ≥10 year follow-up preformed best overall. Individuals thus defined were less likely to progress to endpoint (hazard ratios ranged from 12.5–19.0 for non-ECs compared to ECs).</p><p>Conclusions</p><p>ECs are rare, less likely to progress to clinical disease, but may eventually lose control. We suggest definitions requiring individuals to have consecutive undetectable HIV-RNA measurements for ≥ six months or otherwise with >90% of measurements <400 copies/ml over ≥10 years be used to define this phenotype.</p></div>", "links"=>[], "tags"=>["statistics", "Clinical research design", "Retrospective studies", "epidemiology", "Infectious diseases", "Sexually transmitted diseases", "aids", "Viral diseases", "hiv", "HIV clinical manifestations", "HIV diagnosis and management", "HIV epidemiology", "controller", "definitions", "seroconverter", "cohort"], "article_id"=>916217, "categories"=>["Mathematics", "Medicine"], "users"=>["Ashley D. Olson", "Laurence Meyer", "Maria Prins", "Rodolphe Thiebaut", "Deepti Gurdasani", "Marguerite Guiguet", "Marie-Laure Chaix", "Pauli Amornkul", "Abdel Babiker", "Manjinder S. Sandhu", "Kholoud Porter"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0086719", "stats"=>{"downloads"=>2, "page_views"=>14, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_An_Evaluation_of_HIV_Elite_Controller_Definitions_within_a_Large_Seroconverter_Cohort_Collaboration_/916217", "title"=>"An Evaluation of HIV Elite Controller Definitions within a Large Seroconverter Cohort Collaboration", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2014-01-28 03:15:04"}
• {"files"=>["https://ndownloader.figshare.com/files/1364111"], "description"=>"<p>Example: 95 seroconverters were classified as EC by definition F of whom 25 (26%) were classified as EC by definition J. Conversely, of 47 seroconverters classified as EC by definition J, 25 (53%) were classified as EC by definition F.</p>ŧ<p><b>A</b>: HIV-positive ≥6 months, with ≥2 consecutive HIV-RNA <75 copies/ml; <b>B</b>: HIV- positive ≥1 year, with ≥1 HIV-RNA <50 copies/ml, <b>C</b>: HIV- positive ≥1 year, with ≥1 HIV-RNA <75 copies/ml, <b>D</b>: HIV- positive ≥1 year, with ≥3 HIV-RNA <2000 copies/ml, <b>E</b>: HIV- positive ≥1 year, with ≥3 consecutive HIV-RNA <75 copies/ml spanning ≥12 months <b>F</b>: HIV- positive ≥1 year, with ≥3 consecutive HIV-RNA <75 copies/ml spanning ≥12 months with no previous blips ≥1000 copies/ml, <b>G</b>:HIV- positive ≥2 years, with ≥2 HIV-RNA <75 copies/ml, <b>H</b>: HIV- positive ≥5 years, with ≥5 consecutive HIV-RNA <500 copies/ml, <b>I</b>: HIV- positive ≥10 years, with all measured HIV-RNA <50 copies/ml, <b>J</b>: HIV-positive ≥10 years, with ≥90% of HIV-RNA (≥2 HIV-RNA ever) <400 copies/ml.</p>", "links"=>[], "tags"=>["statistics", "Clinical research design", "Retrospective studies", "epidemiology", "Infectious diseases", "Sexually transmitted diseases", "aids", "Viral diseases", "hiv", "HIV clinical manifestations", "HIV diagnosis and management", "HIV epidemiology", "overlap", "10", "definitions", "applied", "cascade"], "article_id"=>916215, "categories"=>["Mathematics", "Medicine"], "users"=>["Ashley D. Olson", "Laurence Meyer", "Maria Prins", "Rodolphe Thiebaut", "Deepti Gurdasani", "Marguerite Guiguet", "Marie-Laure Chaix", "Pauli Amornkul", "Abdel Babiker", "Manjinder S. Sandhu", "Kholoud Porter"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0086719.t003", "stats"=>{"downloads"=>0, "page_views"=>6, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Two_way_overlap_of_10_definitions_of_elite_control_found_in_the_literature_applied_to_the_CASCADE_dataset_/916215", "title"=>"Two-way overlap of 10 definitions of elite control found in the literature applied to the CASCADE dataset.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2014-01-28 03:15:04"}
• {"files"=>["https://ndownloader.figshare.com/files/1364112"], "description"=>"†<p>Individuals in the cohort without adequate follow-up or number of HIV-RNA measurements to classify them as EC or non-EC.</p>‡<p>Based on number of seroconverters whose EC status could be determined.</p><p>HIV risk groups: MSM: Men who have sex with men; IDU: Injection drug users; MSW: Heterosexual contact.</p><p>Assuming all individuals with unknown EC status are non-EC.</p>ŧ<p><b>A</b>: HIV-positive ≥6 months, with ≥2 consecutive HIV-RNA <75 copies/ml; <b>B</b>: HIV- positive ≥1 year, with ≥1 HIV-RNA <50 copies/ml, <b>C</b>: HIV- positive ≥1 year, with ≥1 HIV-RNA <75 copies/ml, <b>D</b>: HIV- positive ≥1 year, with ≥3 HIV-RNA <2000 copies/ml, <b>E</b>: HIV- positive ≥1 year, with ≥3 consecutive HIV-RNA <75 copies/ml spanning ≥12 months <b>F</b>: HIV- positive ≥1 year, with ≥3 consecutive HIV-RNA <75 copies/ml spanning ≥12 months with no previous blips ≥1000 copies/ml, <b>G</b>:HIV- positive ≥2 years, with ≥2 HIV-RNA <75 copies/ml, <b>H</b>: HIV- positive ≥5 years, with ≥5 consecutive HIV-RNA <500 copies/ml, <b>I</b>: HIV- positive ≥10 years, with all measured HIV-RNA <50 copies/ml, <b>J</b>: HIV-positive ≥10 years, with ≥90% of HIV-RNA (≥2 HIV-RNA ever) <400 copies/ml.</p>", "links"=>[], "tags"=>["statistics", "Clinical research design", "Retrospective studies", "epidemiology", "Infectious diseases", "Sexually transmitted diseases", "aids", "Viral diseases", "hiv", "HIV clinical manifestations", "HIV diagnosis and management", "HIV epidemiology", "controllers", "applying", "cascade", "dataset", "10", "definitions", "ec"], "article_id"=>916216, "categories"=>["Mathematics", "Medicine"], "users"=>["Ashley D. Olson", "Laurence Meyer", "Maria Prins", "Rodolphe Thiebaut", "Deepti Gurdasani", "Marguerite Guiguet", "Marie-Laure Chaix", "Pauli Amornkul", "Abdel Babiker", "Manjinder S. Sandhu", "Kholoud Porter"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0086719.t002", "stats"=>{"downloads"=>1, "page_views"=>10, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Number_of_elite_controllers_EC_their_proportion_and_demographic_characteristics_applying_the_CASCADE_dataset_to_10_definitions_of_EC_found_in_the_literature_/916216", "title"=>"Number of elite controllers (EC), their proportion, and demographic characteristics applying the CASCADE dataset to 10 definitions of EC found in the literature.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2014-01-28 03:15:04"}
• {"files"=>["https://ndownloader.figshare.com/files/1364110"], "description"=>"_", "links"=>[], "tags"=>["statistics", "Clinical research design", "Retrospective studies", "epidemiology", "Infectious diseases", "Sexually transmitted diseases", "aids", "Viral diseases", "hiv", "HIV clinical manifestations", "HIV diagnosis and management", "HIV epidemiology", "definitions", "applied", "cascade", "individuals", "aids-free"], "article_id"=>916214, "categories"=>["Mathematics", "Medicine"], "users"=>["Ashley D. Olson", "Laurence Meyer", "Maria Prins", "Rodolphe Thiebaut", "Deepti Gurdasani", "Marguerite Guiguet", "Marie-Laure Chaix", "Pauli Amornkul", "Abdel Babiker", "Manjinder S. Sandhu", "Kholoud Porter"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0086719.t001", "stats"=>{"downloads"=>1, "page_views"=>14, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_10_definitions_of_elite_control_from_the_literature_applied_to_the_CASCADE_dataset_all_require_individuals_to_be_AIDS_free_and_ART_na_239_ve_/916214", "title"=>"10 definitions of elite control from the literature applied to the CASCADE dataset; all require individuals to be AIDS-free and ART-naïve.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2014-01-28 03:15:04"}
• {"files"=>["https://ndownloader.figshare.com/files/1364107"], "description"=>"<p>^ŧ<b>A:</b> HIV-positive ≥6 months, with ≥2 consecutive HIV-RNA <75 copies/ml; <b>E:</b> HIV- positive ≥1 year, with ≥3 consecutive HIV-RNA <75 copies/ml spanning ≥12 months <b>F:</b> HIV- positive ≥1 year, with ≥3 consecutive HIV-RNA <75 copies/ml spanning ≥12 months with no previous blips ≥1000 copies/ml, J: HIV- positive ≥10 years, with ≥90% of HIV-RNA (≥2 HIV-RNA ever) <400 copies/ml.</p>", "links"=>[], "tags"=>["statistics", "Clinical research design", "Retrospective studies", "epidemiology", "Infectious diseases", "Sexually transmitted diseases", "aids", "Viral diseases", "hiv", "HIV clinical manifestations", "HIV diagnosis and management", "HIV epidemiology", "follow-up", "spent", "controller", "performing", "cscade"], "article_id"=>916211, "categories"=>["Mathematics", "Medicine"], "users"=>["Ashley D. Olson", "Laurence Meyer", "Maria Prins", "Rodolphe Thiebaut", "Deepti Gurdasani", "Marguerite Guiguet", "Marie-Laure Chaix", "Pauli Amornkul", "Abdel Babiker", "Manjinder S. Sandhu", "Kholoud Porter"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0086719.g001", "stats"=>{"downloads"=>1, "page_views"=>8, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Total_ART_na_ve_follow_up_time_spent_as_an_elite_controller_for_4_of_the_best_performing_definitions_a_A_359_b_E_359_c_F_359_and_d_J_359_using_the_CSCADE_dataset_/916211", "title"=>"Total ART-naïve follow-up time spent as an elite controller for 4 of the best performing definitions: a) A^ŧ, b) E^ŧ, c) F^ŧ,and d) J^ŧ using the CSCADE dataset.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2014-01-28 03:15:04"}

PMC Usage Stats | Further Information

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Relative Metric

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F1000Prime