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Record W2044524003 · doi:10.1086/313856

Role of Hydroxyurea in Treatment of Disease Due to Human Immunodeficiency Virus Infection

2000· review· en· W2044524003 on OpenAlexaff
Carlos Zala, Danielle Rouleau, Julio Montaner

Bibliographic record

VenueClinical Infectious Diseases · 2000
Typereview
Languageen
FieldMedicine
TopicHemoglobinopathies and Related Disorders
Canadian institutionsAIDS VancouverUniversity of British Columbia
Fundersnot available
KeywordsDidanosineStavudineMedicineHydroxycarbamideNucleoside analogueLamivudineDosingImmunologyVirologyVirusPharmacologyNucleosideClinical trialChemotherapyViral diseaseZidovudineInternal medicineBiology

Abstract

fetched live from OpenAlex

The potential role of hydroxyurea in the treatment of human immunodeficiency virus (HIV) infection was first supported by in vitro experiments that demonstrated control of viral production in activated and resting T cells. More recently, controlled clinical trials demonstrated that the addition of hydroxyurea to nucleoside-including regimens (chiefly of didanosine but also of stavudine and lamivudine) enhances their antiviral potency. It is believed that the cytostatic effect of hydroxyurea is at least partially responsible for its antiviral effect, through the down-modulation of cellular proliferation. Such an effect has also been credited for the blunted CD4 T cell responses that are characteristically observed when hydroxyurea is added to nucleoside-including regimens. The adjunctive antiviral effect of hydroxyurea-as well as its favorable dosing schedule, safety profile, and cost-makes it a very attractive addition to our therapeutic armamentarium. Further research is urgently needed to delineate the most appropriate use of this compound in the setting of HIV antiretroviral 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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.946
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0010.001
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 head0.038
GPT teacher head0.389
Teacher spread0.352 · 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.

Study designOther design
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

Citations23
Published2000
Admission routes1
Has abstractyes

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