ArticleJournal of viral hepatitis2024
Predictors of engagement in screening for a hepatitis C virus (HCV) treatment trial in a rural Appalachian community.
Article in Journal of viral hepatitis, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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
2 citing papers in PubMed, 2 citations in OpenAlex.
- Review
- Clinical and demographic characteristics of participants in a hepatitis C treatment trial in rural Kentucky: How policies around treatment access may impact elimination efforts in the United States.The Journal of rural health : official journal of the American Rural Health Association and the National Rural Health Care Association · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 2 institutions in 2 countries.
Funding
Abstract
An HCV treatment trial was initiated in September 2019 to address the opioid/hepatitis C virus (HCV) syndemic in rural Kentucky. The focus of the current analysis is on participation in diagnostic screening for the trial. Initial eligibility (≥18 years of age, county resident) was established by phone followed by in-person HCV viremia testing. 900 rural residents met the inclusion criteria and comprised the analytic sample. Generalized linear models were specified to estimate the relative risk of non-attendance at the in-person visit determining HCV eligibility. Approximately one-quarter (22.1%) of scheduled participants were no-shows. People who inject drugs were no more likely than people not injecting drugs to be a no-show; however, participants ≤35 years of age were significantly less likely to attend. While the median time between phone screening and scheduled in-person screening was only 2 days, each additional day increased the odds of no-show by 3% (95% confidence interval: 2%-3%). Finally, unknown HCV status predicted no-show even after adjustment for age, gender, days between screenings and injection status. We found that drug injection did not predict no-show, further justifying expanded access to HCV treatment among people who inject drugs. Those 35 years and younger were more likely to no-show, suggesting that younger individuals may require targeted strategies for increasing testing and treatment uptake. Finally, streamlining the treatment cascade may also improve outcomes, as participants in the current study were more likely to attend if there were fewer days between phone screening and scheduled in-person screening.
Indexed as
Identifiers
What 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.