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Record W2090692160 · doi:10.1086/379201

Higher Baseline Levels of Plasma Human Immunodeficiency Virus Type 1 RNA Are Associated with Increased Mortality after Initiation of Triple‐Drug Antiretroviral Therapy

2003· article· en· W2090692160 on OpenAlexaff
Evan Wood, Robert S. Hogg, Benita Yip, Romina Quercia, P. Richard Harrigan, Michael V. O’Shaughnessy, Julio Montaner

Bibliographic record

VenueThe Journal of Infectious Diseases · 2003
Typearticle
Languageen
FieldImmunology and Microbiology
TopicHIV Research and Treatment
Canadian institutionsUniversity of British ColumbiaAIDS VancouverSt. Paul's Hospital
Fundersnot available
KeywordsMedicineHazard ratioConfoundingConfidence intervalInternal medicineProportional hazards modelAntiretroviral therapyViral loadImmunologyHuman immunodeficiency virus (HIV)Virology

Abstract

fetched live from OpenAlex

We evaluated 1422 antiretroviral therapy (ART)-naive patients infected with human immunodeficiency virus (HIV) who initiated highly active antiretroviral therapy between 1 August 1 1996 and 31 July 2000 and were monitored until 31 March 2002. Patients were stratified on the basis of baseline levels of HIV RNA (<50,000, 50,000-99,999, and > or =100,000 copies/mL). Cox regression was used to determine independent predictors of time to death. After adjustment for adherence to ART and other potential confounders, baseline levels of HIV RNA of > or =100,000 copies/mL remained independently associated with mortality (adjusted relative hazard, 1.71; 95% confidence interval, 1.08-2.70; P=.023). If appropriately confirmed, these findings have important implications for the development of therapeutic guidelines.

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)0.000
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.023
GPT teacher head0.277
Teacher spread0.254 · 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 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

Citations46
Published2003
Admission routes1
Has abstractyes

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