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Record W2120572005 · doi:10.1093/cid/civ438

HIV Coinfected Have Similar SVR Rates as HCV Monoinfected With DAAs: It's Time to End Segregation and Integrate HIV Patients Into HCV Trials

2015· article· en· W2120572005 on OpenAlexaff
Stephen D. Shafran

Bibliographic record

VenueClinical Infectious Diseases · 2015
Typearticle
Languageen
FieldMedicine
TopicHepatitis C virus research
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsMedicineCoinfectionHepatitis C virusHepatitis CInternal medicineRegimenVirologyHuman immunodeficiency virus (HIV)ImmunologyVirus

Abstract

fetched live from OpenAlex

Phase 3 trials of direct acting antiviral drugs (DAAs) for hepatitis C virus (HCV) excluded patients coinfected with human immunodeficiency virus (HIV). After approval, small trials were done in HIV-HCV coinfected patients. The status quo results in delayed access to DAAs for HIV coinfected patients, a group with more rapid progression of liver disease. This article reviews all approved DAAs and compares sustained virological response (SVR) rates in the HIV coinfected with those in the HCV monoinfected treated with the same regimen for the same HCV genotype. SVR rates in HCV genotype 1 to 4 are virtually identical in the HIV co-infected as in the HCV monoinfected, regardless of whether the regimens contain interferon. Because HIV coinfection does not affect SVR rates or toxicity with DAA-containing therapy, excluding HIV coinfected patients from clinical trials of DAA-containing anti-HCV therapy is discriminatory and unnecessary. Rather, HIV coinfection is one of many comorbidities that occur in some patients with HCV infection.

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)0.028
metaresearch head score (Gemma)0.041
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: Methods · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.972
Threshold uncertainty score0.150

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0280.041
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0030.003
Open science0.0000.001
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0060.001

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 head0.077
GPT teacher head0.422
Teacher spread0.345 · 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.

Study designNot applicable
DomainMethods
GenreCommentary

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

Citations32
Published2015
Admission routes1
Has abstractyes

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