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Record W2115792826 · doi:10.1093/infdis/jiu163

Valacyclovir Therapy Does Not Reverse Herpes-Associated Alterations in Cervical Immunology: A Randomized, Placebo-Controlled Crossover Trial

2014· article· en· W2115792826 on OpenAlexafffundabout
Tae Joon Yi, Brett Shannon, Lisungu Chieza, DeSheng Su, Megan Saunders, Wangari Tharao, Sanja Huibner, Robert S. Remis, Janet Raboud, Rupert Kaul

Bibliographic record

VenueThe Journal of Infectious Diseases · 2014
Typearticle
Languageen
FieldMedicine
TopicHerpesvirus Infections and Treatments
Canadian institutionsUniversity of TorontoWomen's Health In Women's Hands
FundersCanadian Institutes of Health Research
KeywordsHerpes simplex virusImmunologyMedicinePlaceboProinflammatory cytokineClinical trialRandomized controlled trialVirologyVirusInternal medicineInflammationPathology

Abstract

fetched live from OpenAlex

Herpes simplex virus type 2 (HSV-2) infection is associated with a 3-fold increase in the risk of human immunodeficiency virus (HIV) acquisition, perhaps through alterations in mucosal HIV-susceptible target cells. We performed a clinical trial to assess the impact of herpes therapy on cervical immunology in HSV-2-infected, HIV-uninfected women from Africa or the Caribbean who were living in Toronto, Canada. Thirty participants received 1 g of valacyclovir orally each day for 2 months in a randomized double-blind, placebo-controlled, crossover trial. Valacyclovir did not reduce the number of cervical CD4(+) T cells, the number of dendritic cells, or the expression of proinflammatory cytokines and tended to increase the expression of the HIV coreceptor CCR5 and the activation marker CD69. Short-term valacyclovir therapy did not reverse HSV-2-associated alterations in genital immunology. Clinical Trials Registration. NCT00946556.

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)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.040

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0050.002
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0120.001

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 head0.009
GPT teacher head0.277
Teacher spread0.268 · 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 designRandomized trial
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
Published2014
Admission routes3
Has abstractyes

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