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Enregistrement W2989937673 · doi:10.9734/jpri/2019/v31i630328

Efficacy of DAA-based Antiviral Therapies for HCV Patients with Chronic Kidney Disease: A Meta-analysis

2019· article· en· W2989937673 sur OpenAlexaboutno aff
Peyman Sanjari Pirayvatlou, Seyyed Moayed Alavian, Sasan Sanjari Pirayvatlou, Pouyan Sanjari Pirayvatlou, Mina Mahboodi, Madjad Einollahi

Notice bibliographique

RevueJournal of Pharmaceutical Research International · 2019
Typearticle
Langueen
DomaineMedicine
ThématiqueHepatitis C virus research
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésMedicineKidney diseaseInternal medicineHepatitis C virusHepatitis CRegimenContext (archaeology)Chronic liver diseaseLiver diseaseAdverse effectImmunologyVirusCirrhosis

Résumé

récupéré en direct d'OpenAlex

Context: HCV infection in patients with chronic kidney disease (CKD) is important to be treated because it's associated with increased healthcare costs, utilization and is pertained with decrease in survival rate of HCV-infected patients who also have chronic kidney disease. Direct acting agents (DAAs) are novel form of treatment of HCV infection in patients with CKD. The aim of this study is meta-analysis and comparison of the efficacy of different regimen of DAAs used in the treatment of HCV in such patients.
 Objective: Hepatitis C is a liver disease caused by the hepatitis C virus, the virus can cause both acute and chronic hepatitis. Hepatitis C virus (HCV) is a known risk factor for chronic kidney disease (CKD) and end-stage renal disease (ESRD). HCV infection in CKD patients is also associated with increased healthcare costs and utilization, with further increases in those with ESRD. It should be also noted that survival among HCV-infected patients with chronic kidney disease without undertaking any treatment is low, various mechanisms such as increased liver-related mortality, low quality of life and high cardiovascular risk can explain this finding. The benefits of treatment may extend beyond the liver, with improvements in both cardiovascular and renal outcomes in patient with chronic kidney disease. Previously PEG-INTERFRON Based regimens have been used for treatment of CKD or ESRD Patients with chronic Hepatitis C but this treatment plan was associated with higher adverse effects and less efficacy. Nowadays new researches have shown the efficacy of the Direct Anti-Viral Agents (DAAs) In such patients.
 Data Sources: A systematic literature searches in PubMed, EMBASE, Web of Science, and Scopus motor searches was done. Virologic response at 12 weeks after the end of treatment (SVR12) was extract from the included studies. Finally, SVR12 rate with 95% confidence intervals (CI) were pool analyzed with random-effects model.
 Study Selection: Studies were included if they satisfied the following criteria: Participants being adult HCV patients with stage 3–5 CKD (age≥18 years), Interventions being DAA-based antiviral therapies, Outcomes being sustained virologic response at 12 weeks after the end of treatment (SVR12). Studies were excluded if having incomplete outcome data and had no sufficient data to calculate SVR12.
 Data Extraction: The methodological quality of included observational studies was assessed by three reviewers independently by using the Newcastle–Ottawa scale (NOS), which is usually used for observational studies in meta-analyses.
 Results: 20 studies comprising a total of 628 patients (from 20 studies) were included for our meta-analysis. The pooled analysis for SVR12 rate was 0.95 (95% Cl 0.92-0.96, I2= 0.00%), 0.92 (95% Cl 0.82-0.96 I2= 0.00%) and 0.95 (95% Cl 0.93-0.97, I2= 0.0%) for total population, sofosbuvir base treatment group and non sofosbuvir base treatment group. 
 Conclusion: DDAs have high efficacy in treatment of HCV in patient with CKD and it seems that there is no different between sofosbuvir versus non sofosbuvir based regimens for treatment of HCV infection in this patients.

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)0,003
score de la tête « metaresearch » (Gemma)0,003
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesCharge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,329
Score d'incertitude au seuil0,995

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0030,003
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0010,001
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0010,000
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0060,000

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 Opus0,204
Tête enseignante GPT0,513
Écart entre enseignants0,309 · 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'étudeObservationnel
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
Publié2019
Routes d'admission1
Résumé présentoui

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