ArticleJournal of clinical and experimental hepatology2014
Hepatitis C virus treatment in the 'real-world': how well do 'real' patients respond?
Article in Journal of clinical and experimental hepatology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
3 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Use of the PRECIS-II instrument to categorize reports along the efficacy-effectiveness spectrum in an hepatitis C virus care continuum systematic review and meta-analysis.Journal of clinical epidemiology · 2018Pooled it
- Hepatitis C Continuum of Care in a Treatment Center in Sub-Saharan Africa.Journal of clinical and experimental hepatology · 2018Article
- Conceptual framework for outcomes research studies of hepatitis C: an analytical review.Infection and drug resistance · 2016Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundPublished clinical trials of the treatment of HCV are largely multicentre prospective pharmaceutical trials. Patients in clinical trials tend to have more favorable outcomes than patients in the 'real-world', due to strict patient selection and differences in treatment conditions and available resources.
objectivesTo assess the outcomes of Hepatitis C infected patients treated at the Barwon Health Liver Clinic with combination Pegylated interferon (PEG-IFN) and Ribavirin (RBV) therapy and to determine factors associated with a treatment response.
methodsRetrospective review of patients who received treatment for Hepatitis C at our institution's Liver Clinic from January 2001-September 2011. Patient demographics, comorbidities, treatment-related parameters and side effects were extracted from medical records and analyzed.
resultsA total of 190 patients (120 male, 70 female) with a mean age of 42.8 years (range 20-68 years) commenced treatment. The most common genotype was genotype 3 (48.9%), followed by genotype 1 (42.6%). 150 of 190 patients (78.9%) completed treatment and had end of treatment data available. 107 of 182 patients, (58.8%) for whom sustained virologic response (SVR) rate data was available achieved an SVR. Overall response rates were; 46.9%, 68.8% and 62.4% in genotypes 1, 2 and 3 respectively. The response rate was significantly lower in 29 patients with documented cirrhosis (20.7%). Age, diabetes and alcohol abuse did not predict treatment response in our cohort. Side effects reported in 81.6% of patients included general malaise, hematological disturbance and psychiatric issues, and necessitated cessation of therapy in 16 patients (8.4%) and dose reduction in 26 patients (13.7%).
conclusionsResponse rates to combination PEG-IFN and RBV therapy at our institution are comparable to other 'real-world' and pharmaceutical registration trials. Side effects of combination therapy were prominent but resulted in fewer discontinuations of therapy compared to pharmaceutical trials.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.