Evidence map›Paper›PMID 30663179›Full record

ArticleJournal of viral hepatitis2019

Monitoring the hepatitis C epidemic in England and evaluating intervention scale-up using routinely collected data.

Ross J Harris, Helen E Harris, Sema Mandal, Mary Ramsay, Peter Vickerman, Matthew Hickman, Daniela De Angelis

Abstract read
In one paragraph

Article in Journal of viral hepatitis, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 1 pooled it
–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

24 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  5. Tattoo practices and risk of hepatitis B and hepatitis C infection in the French Constances study.International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2026
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  7. Pilot postal birth cohort hepatitis C virus screening in UK primary care: HepCAPP study.The British journal of general practice : the journal of the Royal College of General Practitioners · 2025
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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

7 authors.

Ross J HarrisStatistics Modelling and Economics Department, National Infection Service, Public Health England, London, UK.ORCID 0000-0003-3190-7281
Helen E HarrisImmunisation, Hepatitis and Blood Safety Department, National Infection Service, Public Health England, London, UK.
Sema MandalImmunisation, Hepatitis and Blood Safety Department, National Infection Service, Public Health England, London, UK.
Mary RamsayImmunisation, Hepatitis and Blood Safety Department, National Infection Service, Public Health England, London, UK.ORCID 0000-0002-7156-7640
Peter VickermanPopulation Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.ORCID 0000-0002-8291-5890
Matthew HickmanPopulation Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.ORCID 0000-0001-9864-459X
Daniela De AngelisStatistics Modelling and Economics Department, National Infection Service, Public Health England, London, UK.

Funding

Department of Health RP-DG-0610-10055Department of Health RP-PG-0616-20008Medical Research Council MC_UU_00002/11
6 · The paper itself

Abstract

In England, 160 000 individuals were estimated to be chronically infected with hepatitis C virus (HCV) in 2005 and the burden of severe HCV-related liver disease has increased steadily for the past 15 years. Direct-acting antiviral treatments can clear infection in most patients, motivating HCV elimination targets. However, the current burden of HCV is unknown and new methods are required to monitor progress. We employed a Bayesian back-calculation approach, combining data on severe HCV-related liver disease and disease progression, to reconstruct historical HCV incidence and estimate current prevalence in England. We explicitly modelled infections occurring in people who inject drugs, the key risk group, allowing information on the size of this population and surveillance data on HCV prevalence to inform recent incidence. We estimated that there were 143 000 chronic infections in 2015 (95% credible interval 123 000-161 000), with 34% and 54% in those with recent and past injecting drug use, respectively. Following the planned scale-up of new treatments, chronic infections were predicted to fall to 113 400 (94 900-132 400) by the end of 2018 and to 89 500 (71 300-108 600) by the end of 2020. Numbers developing severe HCV-related liver disease were predicted to fall by at least 24% from 2015 to 2020. Thus, we describe a coherent framework to monitor progress using routinely collected data, which can be extended to incorporate additional data sources. Planned treatment scale-up is likely to achieve 2020 WHO targets for HCV morbidity, but substantial efforts will be required to ensure that HCV testing and patient engagement are sufficiently high.

Indexed as

AdolescentAdultAgedAged, 80 and overAntiviral AgentsChildChild, PreschoolEnglandFemaleHepatitis C, ChronicHumansIncidenceInfantInfant, NewbornMaleMiddle AgedAntiviral Agentsback calculationdirect-acting antiviral treatmentdisease burdenpeople who inject drugssurveillance data

Identifiers

PMID30663179
PMCPMC6518935

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.