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Record W1529524696 · doi:10.1111/iji.12219

HLA B51 is associated with faster AIDS progression among newly diagnosed HIV‐infected individuals in Manitoba, Canada

2015· article· en· W1529524696 on OpenAlexafffundabout
Yoav Keynan, Zulma Vanessa Rueda, Kim Bresler, Marissa Becker, Ken Kasper

Bibliographic record

VenueInternational Journal of Immunogenetics · 2015
Typearticle
Languageen
FieldImmunology and Microbiology
TopicHIV Research and Treatment
Canadian institutionsManitoba HealthUniversity of ManitobaManitoba Beekeepers' AssociationResearch Manitoba
FundersCanadian Institutes of Health Research
KeywordsHuman leukocyte antigenAlleleHazard ratioImmunologyMedicineHuman immunodeficiency virus (HIV)PopulationDiseaseInternal medicineAntigenBiologyGeneticsConfidence intervalEnvironmental healthGene

Abstract

fetched live from OpenAlex

Human leucocyte antigen (HLA) alleles influence the rate of CD4 decline among HIV-infected individuals. We investigated the association between HLA B35 and HLA B51 and the rate of CD4 decline and/or opportunistic infections, among 294 HIV-positive individuals from Manitoba, Canada. All individuals presenting with a CD4 count >200 cells μL(-1) , who had at least two CD4 counts, and no evidence of co-infection were included. Individuals bearing HLA B35 or HLA B51 were compared to controls. A multivariate model demonstrated that HLA B35 allele was associated with a hazard ratio of 2.05 (95% CI 1.31-3.18) for reaching AIDS and HLA B51 allele with HR of 2.03 (95% CI 1.18-3.49) for reaching the same end-point. High prevalence of HLA B35 was seen in the patient population receiving care in Manitoba. Our observations confirm the association of HLA B35 with rapid disease progression. We report, for the first time, faster CD4 decline among individuals with HLA B51 allele.

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)0.000
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 score0.068
Threshold uncertainty score0.990

Codex and Gemma teacher scores by category

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

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 head0.018
GPT teacher head0.265
Teacher spread0.247 · 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

Citations7
Published2015
Admission routes3
Has abstractyes

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