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Record W4360602942 · doi:10.1016/s2468-2667(23)00056-7

Reasons for not commencing direct-acting antiviral treatment despite unrestricted access for individuals with HIV and hepatitis C virus: a multinational, prospective cohort study

2023· article· en· W4360602942 on OpenAlexafffundabout
Cas J. Isfordink, Anders Boyd, Rachel Sacks‐Davis, Daniela K van Santen, Colette Smit, Marianne Martinello, Mark Stoové, Juan Berenguer, Linda Wittkop, Marina B. Klein, Andri Rauch, Dominique Salmon, Karine Lacombe, Ashleigh Stewart, Janke Schinkel, Joseph Doyle, Margaret Hellard, Marc van der Valk, Gail Matthews

Bibliographic record

VenueThe Lancet Public Health · 2023
Typearticle
Languageen
FieldMedicine
TopicHepatitis C virus research
Canadian institutionsMcGill University Health Centre
FundersFonds de Recherche du Québec - SantéCanadian Institutes of Health ResearchSwiss HIV Cohort Research FoundationCanadian HIV Trials Network, Canadian Institutes of Health ResearchGilead SciencesSchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen ForschungMinisterie van Volksgezondheid, Welzijn en SportDepartment of Health and Ageing, Australian Government
KeywordsMedicineCohortHepatitis CCohort studyHepatitis C virusProspective cohort studyInternal medicineVirologyVirus

Abstract

fetched live from OpenAlex

BACKGROUND: Individuals with HIV and hepatitis C virus (HCV) who remain untreated with direct-acting antivirals can contribute to HCV transmission and HCV-related mortality. We aimed to compare rates of uptake of direct-acting antivirals following unrestricted access to this treatment in high-income countries and examine factors associated with remaining untreated. METHODS: This multinational, prospective cohort study used data from the International Collaboration on Hepatitis C Elimination in HIV Cohorts (InCHEHC). We analysed data from nine observational cohorts participating in the InCHEHC, including data from six high-income countries (Australia, Canada, France, the Netherlands, Spain, and Switzerland). We included individuals aged 18 years and older, with HIV and HCV (ie, HCV-RNA positive without evidence of spontaneous clearance) during unrestricted access to interferon-free direct-acting antiviral treatment in each country. We calculated the cumulative proportion of participants who remained untreated with direct-acting antivirals, with follow-up starting after the date of unrestricted access or cohort inclusion, whichever occurred most recently. Factors associated with the commencement rate of direct-acting antiviral treatment were assessed using competing-risks regression with the Fine-Gray method. FINDINGS: The date of unrestricted access to direct-acting antiviral treatment for people with HIV ranged from Nov 1, 2014, in France to Nov 1, 2017, in Switzerland. We included 4552 individuals with HIV-HCV, mainly men who have sex with men (MSM; n=2156 [47%]) and people who inject or have injected drugs (n=1453 [32%]). 1365 (30%) of 4552 participants remained untreated with direct-acting antivirals. For individuals treated with direct-acting antivirals, median time from start of follow-up to treatment was 5 months (IQR 2-12). For individuals who were not treated with direct-acting antivirals, median follow-up was 22 months (8-30). Being linked to care in Australia, France, or the Netherlands, on antiretroviral therapy, having undetectable HIV RNA, and shorter duration since first positive HCV test were independently associated with higher commencement rate of direct-acting antiviral treatment. Compared with MSM, male heterosexuals and females with unknown or other routes of HIV transmission (ie, neither injection drug use nor heterosexual transmission) had lower rates of commencement. INTERPRETATION: Despite unrestricted access, almost a third of individuals with HIV-HCV remained untreated with direct-acting antivirals during follow-up, with variation in commencement rate of HCV treatment between countries and key populations. Increased efforts are required to reach the remaining individuals with HIV who are HCV-viraemic to achieve HIV-HCV micro-elimination. FUNDING: None.

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)0.003
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation 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 score0.051
Threshold uncertainty score0.738

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
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 head0.168
GPT teacher head0.436
Teacher spread0.268 · 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.

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

Citations8
Published2023
Admission routes3
Has abstractyes

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