MétaCan
Menu
Back to cohort
Record W2593096455 · doi:10.1097/qad.0000000000001439

Evaluating the generalizability of clinical trials of direct-acting antivirals for HIV–hepatitis C virus coinfection

2017· letter· en· W2593096455 on OpenAlexaboutno aff
Stacey C. Tobin

Bibliographic record

VenueAIDS · 2017
Typeletter
Languageen
FieldMedicine
TopicHepatitis C virus research
Canadian institutionsnot available
Fundersnot available
KeywordsCoinfectionMedicineTolerabilityInternal medicineCohortHepatitis CPopulationHepatitis C virusClinical trialCohort studyImmunologyHuman immunodeficiency virus (HIV)Adverse effectVirus

Abstract

fetched live from OpenAlex

HIV coinfection accelerates hepatitis C virus (HCV) progression and interferon-based therapies have shown relatively poor efficacy and tolerability in the HIV–HCV-coinfected population. The introduction of direct-acting antivirals (DAAs) for the treatment of HCV represented a paradigm shift leading to cure of chronic HCV infection, and was held to be a promising alternative for patients with HIV–HCV coinfection. Clinical trials have demonstrated the efficacy and tolerability of various DAAs in patients with HIV–HCV coinfection, bringing the added benefits of simplified dosing and shorter treatment times. However, there continues to be significant concern about the generalizability of DAA clinical trial results to the highly heterogeneous population of patients with HIV–HCV coinfection. To illustrate this point, Saeed et al.[1] compared the eligibility criteria from clinical trials of various DAAs to the characteristics of a representative HIV–HCV-coinfected population, the Canadian Coinfection Cohort. Cohort participants with active HCV infection (N = 874) were subdivided by HCV genotype to match those of the five trial populations. A large proportion of the Cohort participants had a history of drug use and poverty. The majority were receiving antiretroviral therapy (ART; 86%) and had undetectable HIV loads (78%). The median duration of HCV infection was approximately 22 years; 13% had cirrhosis and 15% had advanced liver disease. With the goal of examining how many of the Canadian Coinfection Cohort participants would have been included in the DAA clinical trials, the authors compared the characteristics of the Cohort against the eligibility criteria of five trials: NCT01479868 (simeprivir), PHOTON-1 (sofosbuvir), TURQUOISE-I (ombitasvir, paritaprevir/ritonavir/dasabuvir), ION-4 (sofosbuvir/ledipasvir), and ALLY-2 (daclatasvir/sofosbuvir). For four of the five trials, only 6–10% of the Canadian Coinfection Cohort would have been eligible for inclusion, primarily because of restrictions on the use of specific ART agents (would have excluded 63–79% of the cohort) and active drug use (would have excluded 53–55% of the cohort). The authors commented that even if individuals had switched ART to meet trial eligibility, 74–77% of the cohort would continue to have been excluded because of active drug use. Approximately, 15% of the cohort would have been ineligible for the DAA trials because of HIV loads or CD4+ cell counts that did not meet prespecified thresholds. Few of the cohort participants would have been excluded based on safety-related criteria, such as anemia or renal or liver function. The authors concluded that the eligibility criteria used in DAA clinical trials exclude important subpopulations of HIV–HCV-coinfected patients – specifically, active drug users – and call into question whether the results of the trials are applicable to the broader population of coinfected patients. The concerns of Saeed et al. regarding the applicability of the DAA clinical trial results to the larger HIV–HCV-coinfected population are widely recognized; in the past year alone, several prospective cohort studies in the United States and Europe have reported on the real-world safety and efficacy of DAAs in coinfected individuals, many with advanced liver disease [2–5]. More observational studies are needed to accurately evaluate the efficacy and safety of DAAs in representative HIV–HCV-coinfected populations. Acknowledgements Conflicts of interest There are no conflicts of interest.

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)0.043
metaresearch head score (Gemma)0.117
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesMetaresearch
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.510
Threshold uncertainty score0.986

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0430.117
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.559
GPT teacher head0.596
Teacher spread0.038 · 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; both teacher heads agree on what is shown here.

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

Citations0
Published2017
Admission routes1
Has abstractyes

Explore more

Same venueAIDSSame topicHepatitis C virus researchFrench-language works237,207