Evidence map›Paper›PMID 33511053›Full record

ArticleJournal of translational internal medicine2020

Delays and Gaps in Progressing Through the Hepatitis C Virus Cascade of Care: An Underserved Safety-net Hospital Experience.

Chantal Gomes, Dina Ginzberg, Robert J Wong

Open access · hybridAbstract read
In one paragraph

Article in Journal of translational internal medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.5field-weighted citation impact, top 34% of its field
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 10 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 2 institutions in 1 country.

Chantal GomesDivision of Gastroenterology and Hepatology, Alameda Health System - Highland Hospital, Oakland, CA, USA.
Dina GinzbergDivision of Gastroenterology and Hepatology, Alameda Health System - Highland Hospital, Oakland, CA, USA.
Robert J WongDivision of Gastroenterology and Hepatology, Veterans Affairs Palo Alto Healthcare System, Palo Alto, CA, USA.
Alameda Health System · USStanford University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectiveWhile highly effective hepatitis C virus (HCV) therapies exist, gaps in the cascade of care remain. Disparities in the HCV cascade are prominent among underserved safety-net populations. We aim to evaluate the HCV cascade among an urban safety-net cohort of HCV patients.

methodsWe retrospectively evaluated adults with chronic HCV to determine rates of linkage to care (LTC), retention to care, and receiving HCV treatment from 2002 to 2018. Comparisons between groups utilized Chi-square testing; comparisons of median time to LTC and HCV treatment were evaluated with Student's

resultsAmong 600 chronic HCV patients (60.7% male, 20.7% non-Hispanic white, 49.2% African American, 92.5% treatment naïve, 26.8% cirrhosis), successful LTC within one year of HCV diagnosis was 57.7%, among which, 91.6% were successfully retained into care. In those with successful LTC, 72.6% received HCV treatment, 91.8% completed treatment, and 89% achieved SVR12. Women with HCV experienced longer delays from LTC to HCV treatment (331

conclusionWomen with HCV experienced significant delays along the HCV cascade, with median time of over 2 years from diagnosis to treatment. African Americans also experienced significant delays along the HCV cascade of care. However, sex and race/ethnicity were not found to be significant predictors of overall LTC or treatment.

Indexed as

antiviral therapycascade of careHCVlinkage to caresafety-net

Identifiers

PMID33511053
PMCPMC7805291
OpenAlexW3119536759

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

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.