Evidence map›Paper›PMID 29949038›Full record

ArticleAdvances in therapy2018

Development of a Comprehensive Dataset of Hepatitis C Patients and Examination of Disease Epidemiology in the United States, 2013-2016.

Viktor V Chirikov, Steven E Marx, Shivaji R Manthena, John P Strezewski, Sammy Saab

Abstract read
In one paragraph

Article in Advances in therapy, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Intersecting Epidemics: Incident Syphilis and Drug Use in Women Living With Human Immunodeficiency Virus in the United States (2005-2016).Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2020
    Article
  6. Article
  7. Article
  8. Review
  9. Epidemiology of Hepatitis C in Delaware.Delaware journal of public health · 2020
    Article
  10. Article
  11. New Face of Hepatitis C.Digestive diseases and sciences · 2019
    Review
  12. Article
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

5 authors.

Viktor V ChirikovPharmerit International, LP 4350 East-West Highway Suite 1110, Bethesda, MD, 20814, USA.ORCID 0000-0002-9480-0580
Steven E MarxAbbVie, 26525 Riverwoods Blvd, Mettawa, IL, 60048, USA. steve.marx@abbvie.com.
Shivaji R ManthenaAbbVie, 26525 Riverwoods Blvd, Mettawa, IL, 60048, USA.
John P StrezewskiAbbVie, 26525 Riverwoods Blvd, Mettawa, IL, 60048, USA.
Sammy SaabUCLA Medical Center, 200 UCLA Medical Plaza, Suite 214, Los Angeles, CA, 90095, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionChronic infection with hepatitis C virus (HCV) is a leading cause of liver disease and infectious disease deaths. While recent and emerging treatment options for HCV patients have enabled higher rates of sustained virologic response (SVR), the demographic, clinical, geographic, and payer characteristics of the estimated 3.4 million chronic HCV patients in the USA are poorly understood. The goal of this study was to create a dataset describing the current HCV patient landscape in the USA.

methodsData from two large national laboratory companies representing the majority of US patients screened for HCV antibody and/or tested for HCV RNA from 2013 through 2016 were organized into the present study dataset. Age, gender, payer channel, 3-digit ZIP code and ordering physician specialty, and 3-digit ZIP code information were available for all patients. Among RNA-positive patients, additional clinical characteristics included HCV genotype, fibrosis stage, renal function, and HIV status. Initiating treatment and attaining cure were imputed using data-driven algorithms based on successive RNA viral load measurements.

resultsThe number of RNA-positive HCV patients increased from 200,066 patients in 2013 to 469,550 in 2016. The availability of clinical data measurements and rates of treatment initiation increased over the study period, indicating improved care engagement for HCV patients. Treatment and cure rates varied by age, disease severity, geographic location, and payer channel. Sensitivity and specificity of the cure prediction algorithms were consistently above 0.90, validating the robustness of the data imputation approach.

conclusionThis is the largest, most comprehensive dataset available to describe the current US HCV patient landscape. Our results highlight that the epidemiology of HCV is evolving with an increasing number of patients who are younger and have milder disease than described in previous years. Results of this study should help guide efforts toward the elimination of HCV in this country. Future work will focus on factors associated with varying treatment and cure patterns and describing recent changes in the HCV patient landscape.

fundingAbbVie. Plain language summary available for this article.

Indexed as

Antiviral AgentsHepatitis CAdultAge FactorsFemaleHepacivirusHumansMaleMiddle AgedPatient CareUnited StatesAntiviral AgentsDirect-acting antiviralsHepatitis CInfectious diseaseReal-world evidenceSustained virologic responseTreatment algorithm

Identifiers

PMID29949038
PMCPMC11343904

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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.