ArticleHepatitis monthly2011
Barriers to receiving hepatitis C treatment for people who inject drugs: Myths and evidence.
Article in Hepatitis monthly, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 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
8 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.
- Efficacy and safety of ledipasvir/sofosbuvir for hepatitis C among drug users: a systematic review and meta-analysis.Virology journal · 2021Pooled it
- Use of health care services by people with substance use disorders in Belgium: a register-based cohort study.Archives of public health = Archives belges de sante publique · 2021Article
- Prevalence of HCV among people who inject drugs in Brussels-a respondent-driven sampling survey.Harm reduction journal · 2020Article
- Patterns in Liver-Related Health Outcomes with Hepatitis C Virus Treatments and Health Equity Implications for Decision Makers: A Cohort Analysis of Medicaid Patients.Health equity · 2017Article
- Access to New Medications for Hepatitis C for Medicaid Members: A Retrospective Cohort Study.Journal of managed care & specialty pharmacy · 2016Article
- The hepatitis C cascade of care among HIV infected patients: a call to address ongoing barriers to care.PloS one · 2014Article
- Reasons for Nonattendance across the Hepatitis C Disease Course.ISRN nursing · 2013Article
- Misinformation About COVID-19 in Sub-Saharan Africa: Evidence from a Cross-Sectional Survey.Health securityArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAlcohol consumption, current injecting drug use, and pre-existing mental illness have been identified as 3 of the main reasons for excluding patients from treatment for hepatitis C.
objectivesWe reviewed the literature to obtain an evidence base for these common exclusion criteria. MATERIALS AND
methodsWe reviewed original research and meta-analyses investigating the effects of alcohol consumption, current injecting drug use, and pre-existing mental illness.
resultsWe identified 66 study reports relevant to the review, but found only limited evidence to support withholding of treatment on the basis of the 3 previously mentioned exclusion criteria.
conclusionsCurrently, there is a lack of evidence for many of the barriers faced by patients in availing treatment for hepatitis C. Adherence to treat routine was found to be a better predictor of sustained virological response than injecting drug or alcohol consumption during treatment period or the presence of a pre-existing mental disorder. Although several challenges remain, we need to ensure that treatment decisions are based on the best available evidence and the treatment is performed appropriately on a case-by-case basis.
Indexed as
Identifiers
22087188PMC3212767W2170628962What OpenQuestion holds
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.