Evidence map›Paper›PMID 30629662›Full record

ArticlePloS one2019

Early treatment of acute hepatitis C infection is cost-effective in HIV-infected men-who-have-sex-with-men.

Stephanie Popping, Sebastiaan J Hullegie, Anne Boerekamps, Bart J A Rijnders, Robert J de Knegt, Jürgen K Rockstroh, Annelies Verbon, Charles A B Boucher, Brooke E Nichols, David A M C van de Vijver

Abstract read
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 3 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

16 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Guideline
  3. Pooled it
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Acute hepatitis C infection among adults with HIV in the Netherlands between 2003 and 2016: a capture-recapture analysis for the 2013 to 2016 period.Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2020
    Article
  15. Article
  16. 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

10 authors.

Stephanie PoppingDepartment of Viroscience, Erasmus MC, Rotterdam, The Netherlands.ORCID 0000-0002-8959-4671
Sebastiaan J HullegieDepartment of Internal Medicine and Infectious Diseases, Erasmus MC, Rotterdam, The Netherlands.
Anne BoerekampsDepartment of Internal Medicine and Infectious Diseases, Erasmus MC, Rotterdam, The Netherlands.
Bart J A RijndersDepartment of Internal Medicine and Infectious Diseases, Erasmus MC, Rotterdam, The Netherlands.
Robert J de KnegtDepartment of Gastroenterology and Hepatology, Erasmus MC, Rotterdam, The Netherlands.
Jürgen K RockstrohDepartment of Internal Medicine, Bonn University Hospital, Bonn, Germany.
Annelies VerbonDepartment of Internal Medicine and Infectious Diseases, Erasmus MC, Rotterdam, The Netherlands.
Charles A B BoucherDepartment of Viroscience, Erasmus MC, Rotterdam, The Netherlands.
Brooke E NicholsDepartment of Viroscience, Erasmus MC, Rotterdam, The Netherlands.
David A M C van de VijverDepartment of Viroscience, Erasmus MC, Rotterdam, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTreatment of hepatitis C virus infections (HCV) with direct acting antivirals (DAA) can prevent new infections since cured individuals cannot transmit HCV. However, as DAAs are expensive, many countries defer treatment to advances stages of fibrosis, which results in ongoing transmission. We assessed the epidemiological impact and cost-effectiveness of treatment initiation in different stages of infection in the Netherlands where the epidemic is mainly concentrated among HIV-infected MSMs.

methodsWe calibrated a deterministic mathematical model to the Dutch HCV epidemic among HIV-infected MSM to compare three different DAA treatment scenarios: 1) immediate treatment, 2) treatment delayed to chronic infection allowing spontaneous clearance to occur, 3) treatment delayed until F2 fibrosis stage. All scenarios are simulated from 2015 onwards. Total costs, quality adjusted life years (QALY), incremental cost-effectiveness ratios (ICERs), and epidemiological impact were calculated from a providers perspective over a lifetime horizon. We used a DAA price of €35,000 and 3% discounting rates for cost and QALYs.

resultsImmediate DAA treatment lowers the incidence from 1.2/100 person-years to 0.2/100 person-years (interquartile range 0.1-0.2) and the prevalence from 5.0/100 person-years to 0.5/100 person-years (0.4-0.6) after 20 years. Delayed treatment awaiting spontaneous clearance will result in a similar reduction. However, further delayed treatment to F2 will increases the incidence and prevalence. Earlier treatment will cost society €68.3 and €75.1 million over a lifetime for immediate and awaiting until the chronic stage, respectively. The cost will increase if treatment is further delayed until F2 to €98.4 million. Immediate treatment will prevent 7070 new infections and gains 3419 (3019-3854) QALYs compared to F2 treatment resulting in a cost saving ICER. Treatment in the chronic stage is however dominated.

conclusionsEarly DAA treatment for HIV-infected MSM is an excellent and sustainable tool to meet the WHO goal of eliminating HCV in 2030.

Indexed as

Cost-Benefit AnalysisAdultAgedAged, 80 and overAntiviral AgentsHealth Care CostsHepacivirusHepatitis CHIV InfectionsHumansIncidenceLife ExpectancyMaleMiddle AgedModels, EconomicNetherlandsAntiviral Agents

Identifiers

PMID30629662
PMCPMC6328146

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.