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Enregistrement W2623589687 · doi:10.1111/add.13847

New developments and opportunities for preventing hepatitis C virus (HCV) among people who use and inject drugs—announcing an <i>Addiction</i> series

2017· editorial· en· W2623589687 sur OpenAlexaff
Matthew Hickman, Jason Grebely, Julie Bruneau, Phillip O. Coffin, Louisa Degenhardt, Sharon Hutchinson, Sarah Larney, Natasha K. Martin, Carla Treloar, Peter Vickerman

Notice bibliographique

RevueAddiction · 2017
Typeeditorial
Langueen
DomaineMedicine
ThématiqueHepatitis C virus research
Établissements canadiensCentre Hospitalier de l’Université de Montréal
Organismes subventionnairesNational Institute on Drug Abuse
Mots-clésMedicineHepatitis C virusHepatitis CPsychological interventionSyndemicAddictionOpiate Substitution TreatmentDrugIntensive care medicineEnvironmental healthVirologyVirusOpioidHuman immunodeficiency virus (HIV)PsychiatryInternal medicineBuprenorphine

Résumé

récupéré en direct d'OpenAlex

We announce a new series for Addiction on HCV (hepatitis C virus). This is prompted by the changing treatment and prevention landscape and syndemic of HCV and drug use, specifically concerning people who inject drugs (PWID). In some developing countries more than 80% of HCV is among people with a history of drug injection; globally, almost 40% of HCV burden is attributable to injecting drug use and in many countries one in two PWID are likely to be living with HCV 1-3. HCV is an important cause of liver disease, along with alcohol, hepatitis B virus (HBV) and metabolic causes, and the only one that can be cured easily 4. There is no vaccine available for HCV. However, new HCV anti-viral drugs—so-called direct-acting anti-virals (DAAs)—are highly tolerable, of short duration (8–12 weeks) and can cure the disease in the vast majority of cases, with trials involving PWID reporting more than 90% cure rates 5-7. These advancements have raised excitement around the possibility of using HCV treatment as Prevention (TasP). Globally, however, very few PWID are treated for their HCV. Although the cost of DAA therapies can be high, health economic models suggest that prioritizing PWID for early HCV treatment because of the prevention benefits is likely to be cost-effective 8. In addition, there is strengthening empirical evidence that primary prevention interventions such as opioid substitution treatment (OST) and needle and syringe programmes (NSP) can reduce HIV and HCV 9-12. However, theoretical model projections suggest that substantial reductions in HCV transmission among PWID will require both traditional harm reduction/primary prevention and HCV treatment scale-up 13, 14. The ease of administration of these new DAA therapies means that they could be delivered by non-specialists in the community and within drug treatment services, leading to the recommendation that HCV treatment, drug treatment and prevention services should be integrated, which may have advantages and disadvantages in the way that drug treatment services are delivered 15. International clinical guidelines recommend that people at risk of transmitting HCV are treated for HCV 16-18. The World Health Organization Global Health Sector Strategy (GHSS) on Viral Hepatitis has set a challenging goal of eliminating viral hepatitis as a major public health threat by 2030, reducing new chronic infections by 90% and mortality by 65%. In most countries these targets can be achieved only through scaling-up both OST, NSP and HCV treatment for PWID, as highlighted in a recent paper (the first in our series) on HCV in Greece 19. Another model study in our series shows that managing HCV in prisons can make a substantial contribution to reducing transmission in the community 20. Several countries, such as Australia, France, Georgia and Portugal, have already announced and started national HCV elimination campaigns, increasing the number of HCV treatments available and removing any restrictions on access 21, 22. There are great opportunities, therefore, to generate robust evidence on how to prevent HCV transmission and HCV-related morbidity in PWID and in the population. We expect, therefore, as a Commentary in this issue argues, to move from the ‘the theoretical to the empirical sphere’ 23. While these are ambitious goals, success is not guaranteed. Reaching and engaging people with HCV are key challenges, given the prohibition surrounding illicit and injecting drug use and the resultant stigma and discrimination concerns and possible mistrust of health services. Community and peer involvement is likely to be critical to the success of HCV prevention programmes. It has also been hypothesized by some clinicians and researchers that successful treatment of HCV can improve recovery and engagement with drug treatment services 24. The purpose of our new series will be to highlight and document the best new evidence emerging from around the world on the syndemic of HCV and drug use. We are interested in receiving systematic reviews, trials and other evaluations, ethnographic and modelling studies that inform and test how HCV can be prevented in people who use and inject drugs.

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)0,001
score de la tête « metaresearch » (Gemma)0,002
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Éditorial · Signal consensuel: Éditorial
Score de désaccord entre enseignants0,444
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,002
Méta-épidémiologie (sens strict)0,0000,001
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0010,000
Communication savante0,0010,003
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 Opus0,044
Tête enseignante GPT0,308
Écart entre enseignants0,264 · 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; un appel candidat d’une seule tête enseignante, pas un consensus.

Devis d'étudeSans objet
Domainenon disponible
GenreÉditorial

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

En bref

Citations2
Publié2017
Routes d'admission1
Résumé présentoui

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