Evidence map›Paper›PMID 26628566›Full record

ArticleClinical infectious diseases : an official publication of the Infectious Diseases Society of America2016

The Impact of Enhanced Screening and Treatment on Hepatitis C in the United States.

David P Durham, Laura A Skrip, Robert Douglas Bruce, Silvia Vilarinho, Elamin H Elbasha, Alison P Galvani, Jeffrey P Townsend

Abstract read
In one paragraph

Article in Clinical infectious diseases : an official publication of the Infectious Diseases Society of America, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

26 citing papers in PubMed.

  1. Article
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  11. Modeling Combination Hepatitis C Virus Treatment and Prevention Strategies in a Network of People Who Inject Drugs in the United States.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2021
    Article
  12. Review
  13. Article
  14. Article
  15. Opioid epidemic and liver disease.JHEP reports : innovation in hepatology · 2019
    Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

7 authors.

David P DurhamCenter for Infectious Disease Modeling and Analysis.
Laura A SkripCenter for Infectious Disease Modeling and Analysis.
Robert Douglas BruceDepartment of Medicine, Cornell Scott-Hill Health Center.
Silvia VilarinhoDepartments of Genetics and Internal Medicine, Section of Digestive Diseases, Yale University School of Medicine, New Haven, Connecticut.
Elamin H ElbashaMerck & Co., Inc., Kenilworth, New Jersey.
Alison P GalvaniCenter for Infectious Disease Modeling and Analysis.
Jeffrey P TownsendProgram in Computational Biology and Bioinformatics, Yale University.

Funding

YALE BIOMEDICAL SUPERCOMPUTER: NEUROSCIENCES10RR019895 · NCRR · YALE UNIVERSITY · PI WILLIAMS, KENNETH ROBERT · 2004 to 2004
$1.6M
High Performance Computing Instrumentation for Yale University Biomedical HPC CenS10RR029676 · NCRR · YALE UNIVERSITY · PI BJORNSON, ROBERT DEAN · 2011 to 2011
$588k
NCRR NIH HHS S10 RR019895NCRR NIH HHS S10 RR029676
6 · The paper itself

Abstract

backgroundThe effectiveness of interferon-free direct-acting antivirals (DAA) in treating chronic hepatitis C virus (HCV) is limited by low screening and treatment rates, particularly among people who inject drugs (PWIDs).

methodsTo evaluate the levels of screening and treatment with interferon-free DAAs that are required to control HCV incidence and HCV-associated morbidity and mortality, we developed a transmission model, stratified by age and by injection drug use, and calibrated it to epidemiological data in the United States from 1992 to 2014. We quantified the impact of administration of DAAs at current and at enhanced screening and treatment rates, focusing on outcomes of HCV incidence, prevalence, compensated and decompensated cirrhosis, hepatocellular carcinoma, liver transplants, and mortality from 2015 to 2040.

resultsIncreasing annual treatment of patients 4-fold-from the approximately 100 000 treated historically to 400 000-is predicted to prevent 526 084 (95% confidence interval, 466 615-593 347) cases of cirrhosis and 256 315 (201 589-316 114) HCV-associated deaths. By simultaneously increasing treatment capacity and increasing the number of HCV infections diagnosed, total HCV prevalence could fall to as low as 305 599 (222 955-422 110) infections by 2040. Complete elimination of HCV transmission in the United States through treatment with DAAs would require nearly universal screening of PWIDs, with an annual treatment rate of at least 30%.

conclusionsInterferon-free DAAs are projected to achieve marked reductions in HCV-associated morbidity and mortality. Aggressive expansion in HCV screening and treatment, particularly among PWIDs, would be required to eliminate HCV in the United States.

Indexed as

AdolescentAdultAgedAged, 80 and overAntiviral AgentsCarcinoma, HepatocellularChildDisease Transmission, InfectiousFemaleHepatitis C, ChronicHumansIncidenceLiver FailureLiver TransplantationMaleMass ScreeningAntiviral Agentsdirect-acting antiviralshepatitis Cpeople who inject drugsscreeningtreatment

Identifiers

PMID26628566
PMCPMC4706637

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.