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Record W2152295482 · doi:10.1093/cid/cit003

Trends and Disparities in Antiretroviral Therapy Initiation and Virologic Suppression Among Newly Treatment-Eligible HIV-Infected Individuals in North America, 2001–2009

2013· article· en· W2152295482 on OpenAlexafffund
David B. Hanna, Kate Buchacz, Kelly A. Gebo, Nancy A. Hessol, Gregory D. Kirk, P. Todd Korthuis, Sonia Napravnik, Pragna Patel, Michael J. Silverberg, Timothy R. Sterling, James H. Willig, Bryan Lau, Keri N. Althoff, Ann C. Collier, Hasina Samji, Jennifer E. Thorne, M. John Gill, Marina B. Klein, Jeffrey N. Martin, Benigno Rodríguez, Andrew Parks Benson, Ronald J. Bosch, Stephen Boswell, Ken Mayer, Robert S. Hogg, Richard Harrigan, Julio Montaner, Angela Cescon, John T. Brooks, Richard D. Moore, James J. Goedert, Ann N. Burchell, Anita Rachlis, Robert F. Hunter-Mellado, Ángel M. Mayor, Steven G. Deeks, Michael S. Saag, Michael J. Mugavero, Joseph J. Eron, Amy C. Justice, Robert Dubrow, David A. Fiellin, David W. Haas, Sally Bebawy, Megan Turner, Kathryn Anastos, Stephen J. Gange, Rosemary G. McKaig, Aimee Freeman, Carol Lent, Aaron Platt, Stephen E. Van Rompaey, Heidi M. Crane, Eric Webster, Justin McReynolds, Brenda Simon, Alison G. Abraham, Jinbing Zhang, Jerry Jing, Elizabeth T. Golub, Shari Modur, Peter F. Rebeiro, Cherise Wong, Adell Mendes

Bibliographic record

VenueClinical Infectious Diseases · 2013
Typearticle
Languageen
FieldMedicine
TopicHIV/AIDS Research and Interventions
Canadian institutionsUniversity of TorontoMcGill UniversityUniversity of CalgaryAIDS Vancouver
FundersEunice Kennedy Shriver National Institute of Child Health and Human DevelopmentNational Institute on Minority Health and Health DisparitiesNational Center for Research ResourcesNational Institute of Allergy and Infectious DiseasesNational Institute on Alcohol Abuse and AlcoholismNational Cancer InstituteBristol-Myers SquibbNational Institute on Drug AbuseU.S. Public Health ServiceCanadian Institutes of Health ResearchSantenGilead SciencesGlaxoSmithKlinePfizerAllergan
KeywordsMedicinePsychosocialCumulative incidenceViral loadSubstance abuseIncidence (geometry)DemographyCohortInternal medicineImmunologyHuman immunodeficiency virus (HIV)Psychiatry

Abstract

fetched live from OpenAlex

BACKGROUND: Since the mid-1990s, effective antiretroviral therapy (ART) regimens have improved in potency, tolerability, ease of use, and class diversity. We sought to examine trends in treatment initiation and resulting human immunodeficiency virus (HIV) virologic suppression in North America between 2001 and 2009, and demographic and geographic disparities in these outcomes. METHODS: We analyzed data on HIV-infected individuals newly clinically eligible for ART (ie, first reported CD4+ count<350 cells/µL or AIDS-defining illness, based on treatment guidelines during the study period) from 17 North American AIDS Cohort Collaboration on Research and Design cohorts. Outcomes included timely ART initiation (within 6 months of eligibility) and virologic suppression (≤500 copies/mL, within 1 year). We examined time trends and considered differences by geographic location, age, sex, transmission risk, race/ethnicity, CD4+ count, and viral load, and documented psychosocial barriers to ART initiation, including non-injection drug abuse, alcohol abuse, and mental illness. RESULTS: Among 10,692 HIV-infected individuals, the cumulative incidence of 6-month ART initiation increased from 51% in 2001 to 72% in 2009 (Ptrend<.001). The cumulative incidence of 1-year virologic suppression increased from 55% to 81%, and among ART initiators, from 84% to 93% (both Ptrend<.001). A greater number of psychosocial barriers were associated with decreased ART initiation, but not virologic suppression once ART was initiated. We found significant heterogeneity by state or province of residence (P<.001). CONCLUSIONS: In the last decade, timely ART initiation and virologic suppression have greatly improved in North America concurrent with the development of better-tolerated and more potent regimens, but significant barriers to treatment uptake remain, both at the individual level and systemwide.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.076
Threshold uncertainty score0.641

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.038
GPT teacher head0.368
Teacher spread0.329 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations102
Published2013
Admission routes2
Has abstractyes

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