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Record W2043969393 · doi:10.1097/qad.0b013e32833cba08

Association between HLA inheritance and asthma medication use in HIV positive children

2010· article· en· W2043969393 on OpenAlexafffund
Samuel B. Foster, Mingjian Lu, Bruce Thompson, Kenneth Rich, Larissa Matukas, Rosemarie D. Mason, Robert Winchester, Kelly S. MacDonald, William T. Shearer

Bibliographic record

VenueAIDS · 2010
Typearticle
Languageen
FieldMedicine
TopicAsthma and respiratory diseases
Canadian institutionsMount Sinai HospitalUniversity of Toronto
FundersNational Center for Research ResourcesEunice Kennedy Shriver National Institute of Child Health and Human DevelopmentNational Heart, Lung, and Blood InstituteNational Institute of Allergy and Infectious DiseasesCanadian Institutes of Health Research
KeywordsAsthmaMedicineHuman leukocyte antigenImmunologyAsthma medicationAlleleSidaHuman immunodeficiency virus (HIV)PediatricsViral diseaseAntigenBiologyGenetics

Abstract

fetched live from OpenAlex

This study's purpose was to determine whether asthma medication use in HIV positive children is associated with human leukocyte antigen (HLA) alleles. We reviewed HLA and medication data collected during the Women and Infants Transmission Study for 124 HIV positive children and their mothers. Analysis revealed that HLA-A68 (P = 0.006) was independent and predictive for time to first asthma medication use. There was a preventive association of Cw6 (P = 0.008) with asthma time. Highly active antiretroviral therapy (HAART) was also associated with time to first asthma medication use (P = 0.05). HLA alleles may modulate risk of developing a need for asthma medications and seem to function independently of the actions of HAART therapy.

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 score0.014
Threshold uncertainty score0.233

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 head0.007
GPT teacher head0.251
Teacher spread0.244 · 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

Citations9
Published2010
Admission routes2
Has abstractyes

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