Evidence map›Paper›PMID 31258329›Full record

ArticleMicrobiology insights2019

The Massachusetts Hepatitis C Testing Cascade, 2014-2016.

Quynh T Vo, Shauna Onofrey, Daniel Church, Kevin Cranston, Alfred DeMaria, R Monina Klevens

Abstract read
In one paragraph

Article in Microbiology insights, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. Hepatitis C Cascades: Data to Inform Hepatitis C Elimination in the United States.Public health reports (Washington, D.C. : 1974) · 2023
    Review
  2. Article
  3. Observational
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

6 authors.

Quynh T VoBureau of Infectious Disease and Laboratory Sciences, Massachusetts Department of Public Health, Boston, MA, USA.ORCID https://orcid.org/0000-0003-1462-6525
Shauna OnofreyBureau of Infectious Disease and Laboratory Sciences, Massachusetts Department of Public Health, Boston, MA, USA.
Daniel ChurchBureau of Infectious Disease and Laboratory Sciences, Massachusetts Department of Public Health, Boston, MA, USA.
Kevin CranstonBureau of Infectious Disease and Laboratory Sciences, Massachusetts Department of Public Health, Boston, MA, USA.
Alfred DeMariaBureau of Infectious Disease and Laboratory Sciences, Massachusetts Department of Public Health, Boston, MA, USA.
R Monina KlevensBureau of Infectious Disease and Laboratory Sciences, Massachusetts Department of Public Health, Boston, MA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo characterize hepatitis C testing in Massachusetts and guide stakeholders in addressing the needs of people living with hepatitis C.

methodsAll persons with a positive laboratory report for anti-hepatitis C virus (HCV) antibody, between 2014 and 2016, were included in the testing cascade. Outcomes were HCV tests received after a positive anti-HCV antibody test: nucleic acid test or genotype test. Logistic regression analyses were performed to determine factors associated with progression through the HCV testing cascade.

resultsAmong those reported anti-HCV antibody positive, a total of 13 194 (61%) cases had a subsequent RNA-based test, and 79% (10 374/13 194) were confirmed with current, active HCV infection. For confirmed HCV cases, 44% (4557/10 374) had a genotype identified. The median time from an antibody-positive test to a RNA-based test was 29 days (interquartile range [IQR] = 7-151). Differences in moving through the testing cascade were observed by birth cohort and race/ethnicity.

conclusionsImproved surveillance capture of demographic information is needed to help public health agencies ensure equity in HCV diagnosis and linkage to care.

Indexed as

hepatitis Csurveillancetesting cascade

Identifiers

PMID31258329
PMCPMC6589943

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Registered trials

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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.