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Record W2792353967 · doi:10.1002/jia2.25034

Socio‐economic status and time trends associated with early <scp>ART</scp> initiation following primary <scp>HIV</scp> infection in Montreal, Canada: 1996 to 2015

2018· article· en· W2792353967 on OpenAlexafffundabout
Vikram Mehraj, Joseph Cox, Bertrand Lebouché, Cecilia T. Costiniuk, Wei Cao, Taisheng Li, Rosalie Ponte, Réjean Thomas, Jason Szabo, Jean‐Guy Baril, Benoît Trottier, Pierre Côté, Roger LeBlanc, Julie Bruneau, Cécile Tremblay, Jean‐Pierre Routy

Bibliographic record

VenueJournal of the International AIDS Society · 2018
Typearticle
Languageen
FieldMedicine
TopicHIV/AIDS Research and Interventions
Canadian institutionsCentre Hospitalier de l’Université de MontréalMcGill UniversityUniversité de MontréalMcGill University Health Centre
FundersFonds de Recherche du Québec - SantéPeking Union Medical CollegeCanadian Institutes of Health ResearchMcGill University Health CentreOttawa Hospital Research InstituteMcGill UniversityPeking Union Medical College HospitalCanadian Foundation for AIDS ResearchStyrelsen för Internationellt Utvecklingssamarbete
KeywordsInterquartile rangeMedicineLogistic regressionHuman immunodeficiency virus (HIV)DemographyViral loadProspective cohort studyAntiretroviral therapyYoung adultInternal medicineImmunology

Abstract

fetched live from OpenAlex

Abstract Introduction Guidelines regarding antiretroviral therapy ( ART ) initiation in HIV infection have varied over time, with the 2015 World Health Organization recommendation suggesting ART initiation at the time of diagnosis regardless of CD4 T‐cell counts. Herein, we investigated the influence of socio‐demographic and clinical factors in addition to time trends on early ART initiation among participants of the Montreal Primary HIV Infection Study. Methods The Montreal Primary HIV Infection Study is a prospective cohort established in three community medical centres (CMCs) and two university medical centres (UMCs). Recently diagnosed HIV ‐infected adults were categorized as receiving early (vs. delayed) ART if ART was initiated within 180 days of the baseline visit. Associations between early ART initiation and socio‐demographic, socio‐economic and behavioural information were examined. Independent associations of factors linked with early ART initiation were determined using multivariable binary logistic regression analysis. Results A total of 348 participants had a documented date of HIV acquisition of <180 days. The median interquartile range ( IQR ) age of participants was 35 (28; 42) years and the majority were male (96%), having paid employment (63%), men who have sex with men ( MSM ) (78%) and one to four sexual partners in the last three months (70%). Participants presented with a median IQR HIV plasma viral load of 4.6 (3.7; 5.3) log 10 copies/ml, CD 4 count of 510 (387; 660) cells/μl and were recruited in CMCs (52%) or UMCs (48%). Early ART initiation was observed in 47% of the participants and the trend followed a V‐shaped curve with peaks in 1996 to 1997 (89%) and 2013 to 2015 (88%) with a dip in 2007 to 2009 (22%). Multivariable analyses showed that having a paid employment adjusted odds ratio ( aOR : 2.43; 95% CI : 1.19, 4.95), lower CD 4 count ( aOR per 50 cell increase: 0.93; 95% CI : 0.87, 0.99) and care at UMCs ( aOR : 2.03; 95% CI : 1.06 to 3.90) were independently associated with early ART initiation. Conclusions Early ART initiation during primary HIV infection was associated with diminished biological prognostic factors and calendar time mirroring evolution of treatment guidelines. In addition, socio‐economic factors such as having a paid employment, contribute to early ART initiation in the context of universal access to care in Canada.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.019
Threshold uncertainty score0.140

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.003
Science and technology studies0.0020.001
Scholarly communication0.0010.000
Open science0.0020.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.010
GPT teacher head0.273
Teacher spread0.262 · 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 source (direct Gemma or distilled Codex), 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

Citations28
Published2018
Admission routes3
Has abstractyes

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