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Record W2062624583 · doi:10.1136/sti.2009.040931

Defining the genital immune correlates of protection against HIV acquisition: co-infections and other potential confounders

2011· review· en· W2062624583 on OpenAlexafffund
Rupert Kaul, T. Blake Ball, Taha Hirbod

Bibliographic record

VenueSexually Transmitted Infections · 2011
Typereview
Languageen
FieldImmunology and Microbiology
TopicReproductive tract infections research
Canadian institutionsPublic Health Agency of CanadaUniversity of ManitobaCanada Research ChairsUniversity of Toronto
FundersCanadian Institutes of Health Research
KeywordsMedicineContext (archaeology)ImmunologyConfoundingEpidemiologyTransmission (telecommunications)Immune systemSexual transmissionSex organHuman immunodeficiency virus (HIV)MicrobicideBiologyInternal medicine

Abstract

fetched live from OpenAlex

The sexual transmission of HIV is very inefficient, presumably because mucosal immune defences prevent infection after most exposures. Since numerous genital immune factors have antiviral effects in vitro, their elucidation might greatly inform the microbicide and HIV prevention fields, particularly in the context of HIV-exposed but persistently seronegative (ESN) individuals. However, several important confounders must be considered in such research. First, sound epidemiological criteria are needed to define individuals as ESN. Then, since high-risk sexual activity is commonly one of these criteria, its potential impact on genital immunology must be carefully considered, both the direct effects of sex and the secondary immune effects of genital co-infections. This means that it may be very difficult to determine whether differences in genital immunology between ESN and control groups are responsible for HIV protection, or are a consequence of high-risk sexual activity. To overcome this confounding, the demographics and epidemiology of ESN cohorts must be described very carefully, thorough co-infection diagnostics must be performed and, if possible, prospective studies with an endpoint of HIV acquisition should be performed to define the direction of causality.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.987
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0020.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0010.001

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 head0.029
GPT teacher head0.303
Teacher spread0.274 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreReview

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

Citations15
Published2011
Admission routes2
Has abstractyes

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