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Record W1607699320 · doi:10.1111/hiv.12161

<scp>HIV</scp>/hepatitis<scp>C</scp>virus coinfection management: changing guidelines and changing paradigms

2014· article· en· W1607699320 on OpenAlexafffund
C. Cooper, Marina B. Klein

Bibliographic record

VenueHIV Medicine · 2014
Typearticle
Languageen
FieldMedicine
TopicHepatitis C virus research
Canadian institutionsMcGill University Health CentreOttawa HospitalUniversity of Ottawa
FundersCanadian Institutes of Health ResearchHealth Canada
KeywordsCoinfectionMedicineHepatitis C virusRibavirinHepatitis CHuman immunodeficiency virus (HIV)ImmunologyIntensive care medicineVirologyInternal medicineVirus

Abstract

fetched live from OpenAlex

OBJECTIVES: The aim of the study was to consider the impact of new direct-acting antiviral (DAA) regimens on hepatitis C virus (HCV) treatment in HIV/HCV coinfection. METHODS: Current coinfection guidelines were reviewed and the impact of recent DAA publications evaluating HIV-coinfected individuals was considered. RESULTS: Current coinfection guidelines recommend HIV antiretroviral therapy initiation prior to HCV antiviral therapy. New all-oral, combination antiviral therapy composed of one or more DAAs with or without ribavirin will change this paradigm. As these regimens are better tolerated, it will be possible to offer nearly all HCV-infected patients antiviral therapy, including those with HIV infection. All-oral regimens may impact the incidence of HCV infection by providing a treatment option that can be safely and broadly utilized in high-risk populations with the benefits of curing individual patients and addressing broader public health concerns related to HCV. CONCLUSIONS: HCV infection treatment should no longer be a secondary consideration restricted to the minority of HIV/HCV-coinfected patients.

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)0.002
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.400
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.001

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 head0.042
GPT teacher head0.321
Teacher spread0.279 · 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 designNot applicable
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

Citations3
Published2014
Admission routes2
Has abstractyes

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