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Record W4308527991 · doi:10.1093/cid/ciac874

Association Between the Development of Subclinical Cardiovascular Disease and Human Immunodeficiency Virus (HIV) Reservoir Markers in People With HIV on Suppressive Antiretroviral Therapy

2022· article· en· W4308527991 on OpenAlexafffund
Isabelle Turcotte, Mohamed El‐Far, Manel Sadouni, Carl Chartrand‐Lefebvre, Ali Filali‐Mouhim, Rémi Fromentin, Annie Chamberland, Mohammad‐Ali Jenabian, Jean-Guy Baril, Benoît Trottier, Réjean Thomas, Cécile Tremblay, Madéleine Durand, Nicolas Chomont

Bibliographic record

VenueClinical Infectious Diseases · 2022
Typearticle
Languageen
FieldMedicine
TopicHIV-related health complications and treatments
Canadian institutionsUniversité du Québec à MontréalUniversité de MontréalCentre Hospitalier de l’Université de Montréal
FundersNational Institute on AgingCanadian Institutes of Health ResearchNational Institutes of HealthFonds de Recherche du Québec - SantéModernaViiV HealthcareGilead SciencesSanofiStyrelsen för Internationellt UtvecklingssamarbeteAstraZenecaPfizer
KeywordsMedicineHuman immunodeficiency virus (HIV)Subclinical infectionAntiretroviral therapyCoronary artery diseaseDiseaseVirologyVirusImmunologyInternal medicineViral load

Abstract

fetched live from OpenAlex

We report that people with human immunodeficiency virus (HIV) diagnosed with coronary artery atherosclerotic plaques display higher levels of HIV DNA compared with those without atherosclerotic plaques. In a multivariable prediction model that included 27 traditional and HIV-related risk factors, measures of HIV DNA were among the most important predictors of atherosclerotic plaque formation.

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)0.001
metaresearch head score (Gemma)0.004
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
Metaresearch0.0010.004
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 head0.034
GPT teacher head0.348
Teacher spread0.314 · 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

Citations13
Published2022
Admission routes2
Has abstractyes

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