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Enregistrement 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 sur OpenAlexaboutno aff
Stacey C. Tobin

Notice bibliographique

RevueAIDS · 2017
Typeletter
Langueen
DomaineMedicine
ThématiqueHepatitis C virus research
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésCoinfectionMedicineTolerabilityInternal medicineCohortHepatitis CPopulationHepatitis C virusClinical trialCohort studyImmunologyHuman immunodeficiency virus (HIV)Adverse effectVirus

Résumé

récupéré en direct d'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.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,043
score de la tête « metaresearch » (Gemma)0,117
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMétarecherche
Catégories consensuellesMétarecherche
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,510
Score d'incertitude au seuil0,986

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0430,117
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0030,001
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,001
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,559
Tête enseignante GPT0,596
Écart entre enseignants0,038 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; les deux têtes enseignantes s’accordent sur ce qui est montré ici.

Devis d'étudeSans objet
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2017
Routes d'admission1
Résumé présentoui

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