Evidence map›Paper›PMID 37547040›Full record

ArticleThe Lancet regional health. Western Pacific2023

Optimizing point-of-care testing strategies for diagnosis and treatment of hepatitis C virus infection in Australia: a model-based cost-effectiveness analysis.

Sophy T F Shih, Qinglu Cheng, Joanne Carson, Heather Valerio, Yumi Sheehan, Richard T Gray, Evan B Cunningham, Jisoo A Kwon, Andrew R Lloyd, Gregory J Dore and 2 more

Abstract read
In one paragraph

Article in The Lancet regional health. Western Pacific, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Performance Evaluation of the Xpert® HCV Test on Fingerstick Blood in a Prospective Observational Clinical Study at CLIA-Waived Sites in the United States.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2026
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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

12 authors.

Sophy T F ShihThe Kirby Institute, University of New South Wales, Level 6, Wallace Wurth Building, Sydney 2052, Australia.
Qinglu ChengThe Kirby Institute, University of New South Wales, Level 6, Wallace Wurth Building, Sydney 2052, Australia.
Joanne CarsonThe Kirby Institute, University of New South Wales, Level 6, Wallace Wurth Building, Sydney 2052, Australia.
Heather ValerioThe Kirby Institute, University of New South Wales, Level 6, Wallace Wurth Building, Sydney 2052, Australia.
Yumi SheehanThe Kirby Institute, University of New South Wales, Level 6, Wallace Wurth Building, Sydney 2052, Australia.
Richard T GrayThe Kirby Institute, University of New South Wales, Level 6, Wallace Wurth Building, Sydney 2052, Australia.
Evan B CunninghamThe Kirby Institute, University of New South Wales, Level 6, Wallace Wurth Building, Sydney 2052, Australia.
Jisoo A KwonThe Kirby Institute, University of New South Wales, Level 6, Wallace Wurth Building, Sydney 2052, Australia.
Andrew R LloydThe Kirby Institute, University of New South Wales, Level 6, Wallace Wurth Building, Sydney 2052, Australia.
Gregory J DoreThe Kirby Institute, University of New South Wales, Level 6, Wallace Wurth Building, Sydney 2052, Australia.
Virginia WisemanThe Kirby Institute, University of New South Wales, Level 6, Wallace Wurth Building, Sydney 2052, Australia.
Jason GrebelyThe Kirby Institute, University of New South Wales, Level 6, Wallace Wurth Building, Sydney 2052, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Timely diagnosis and treatment of hepatitis C virus (HCV) is critical to achieve elimination goals. This study evaluated the cost-effectiveness of point-of-care testing strategies for HCV compared to laboratory-based testing in standard-of-care. Methods: Cost-effectiveness analyses were undertaken from the perspective of Australian Governments as funders by modelling point-of-care testing strategies compared to standard-of-care in needle and syringe programs, drug treatment clinics, and prisons. Point-of-care testing strategies included immediate point-of-care HCV RNA testing and combined point-of-care HCV antibody and reflex RNA testing for HCV antibody positive people (with and without consideration of previous treatment). Sensitivity analyses were performed to investigate the cost per treatment initiation with different testing strategies at different HCV antibody prevalence levels. Findings: The average costs per HCV treatment initiation by point-of-care testing, from A$890 to A$1406, were up to 35% lower compared to standard-of-care ranging from A$1248 to A$1632 depending on settings. The average costs per treatment initiation by point-of-care testing for three settings ranged from A$1080 to A$1406 for RNA, A$960-A$1310 for combined antibody/RNA without treatment history consideration, and A$890-A$1189 for combined antibody/RNA with treatment history consideration. When HCV antibody prevalence was <74%, combined point-of-care HCV antibody and point-of-care RNA testing were the most cost-effective strategies. Modest increases in treatment uptake by 8%-31% were required for immediate point-of-care HCV RNA testing to achieve equivalent cost per treatment initiation compared to standard-of-care. Interpretation: Point-of-care testing is more cost-effective than standard of care for populations at risk of HCV. Testing strategies combining point-of-care HCV antibody and RNA testing are likely to be cost-effective in most settings. Funding: National Health and Medical Research Council.

Indexed as

Antibody testingHCVHealth economicsModellingRNA testing

Identifiers

PMID37547040
PMCPMC10398594

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.