Evidence map›Paper›PMID 34327345›Full record

ArticleThe Lancet regional health. Western Pacific2021

Hepatitis C elimination in Myanmar: Modelling the impact, cost, cost-effectiveness and economic benefits.

Nick Scott, Thin Mar Win, Tom Tidhar, Hla Htay, Bridget Draper, Phyo Thu Zar Aung, Yinzong Xiao, Anna Bowring, Christian Kuschel, Sonjelle Shilton and 4 more

Abstract read
In one paragraph

Article in The Lancet regional health. Western Pacific, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

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

  1. Pooled it
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  9. Insights from a national survey in 2021 and from modelling on progress towards hepatitis C virus elimination in the country of Georgia since 2015.Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2023
    Article
  10. Observational
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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

14 authors.

Nick ScottBurnet Institute Melbourne, 85 Commercial Rd, Melbourne 3004, Victoria, Australia.
Thin Mar WinBurnet Institute Myanmar, Second floor, 226U Wisara Road, Wizaaya Plaza, Bahan Township, Yangon, Myanmar.
Tom TidharBurnet Institute Melbourne, 85 Commercial Rd, Melbourne 3004, Victoria, Australia.
Hla HtayBurnet Institute Myanmar, Second floor, 226U Wisara Road, Wizaaya Plaza, Bahan Township, Yangon, Myanmar.
Bridget DraperBurnet Institute Melbourne, 85 Commercial Rd, Melbourne 3004, Victoria, Australia.
Phyo Thu Zar AungBurnet Institute Melbourne, 85 Commercial Rd, Melbourne 3004, Victoria, Australia.
Yinzong XiaoBurnet Institute Melbourne, 85 Commercial Rd, Melbourne 3004, Victoria, Australia.
Anna BowringBurnet Institute Melbourne, 85 Commercial Rd, Melbourne 3004, Victoria, Australia.
Christian KuschelBurnet Institute Melbourne, 85 Commercial Rd, Melbourne 3004, Victoria, Australia.
Sonjelle ShiltonFoundation for Innovative New Diagnostics (FIND), Yangon, Myanmar.
Khin Pyone KyiMyanmar Liver Foundation, 33-35, First Floor, Pathein Street, KyunTaw (Middle) Ward, Sanchaung Township, Yangon, Myanmar.
Win NaingDepartment of Hepatology, 500 bedded Specialty Hospital, University of Medicine, Yangon, Myanmar.
Khin Sanda AungNational Hepatitis Control Program, Myanmar Ministry of Health, Myanmar.
Margaret HellardBurnet Institute Melbourne, 85 Commercial Rd, Melbourne 3004, Victoria, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMyanmar has set national hepatitis C (HCV) targets to achieve 50% of people diagnosed and 50% treated by 2030. The WHO has additional targets of reducing incidence by 80% and mortality by 65% by 2030. We aimed to estimate the impact, cost, cost-effectiveness and net economic benefit of achieving these targets.

methodsMathematical models of HCV transmission, disease progression and the care cascade were calibrated to 15 administrative regions of Myanmar. Cost data were collected from a community testing and treatment program in Yangon. Three scenarios were projected for 2020-2030: (1) baseline (current levels of testing/treatment); and testing/treatment scaled up sufficiently to reach (2) the national strategy targets; and (3) the WHO targets.

findingsWithout treatment scale-up, 333,000 new HCV infections and 97,000 HCV-related deaths were estimated to occur in Myanmar 2020-2030, with HCV costing a total $100 million in direct costs (testing, treatment, disease management) and $10.4 billion in lost productivity. In the model, treating 55,000 people each year was sufficient to reach the national strategy targets and prevented a cumulative 40,000 new infections (12%) and 25,000 HCV-related deaths (25%) 2020-2030. This was estimated to cost a total $189 million in direct costs ($243 per DALY averted compared to no treatment scale-up), but only $9.8 billion in lost productivity, making it cost-saving from a societal perspective by 2024 with an estimated net economic benefit of $553 million by 2030. Reaching the WHO targets required further treatment scale-up and additional direct costs but resulted in greater longer-term benefits.

interpretationCurrent levels of HCV testing and treatment in Myanmar are insufficient to reach the national strategy targets. Scaling up HCV testing and treatment in Myanmar to reach the national strategy targets is estimated to generate significant health and economic benefits.

fundingGilead Sciences.

Indexed as

EliminationHepatitis CLow and middle income countryMathematical modelMyanmar

Identifiers

PMID34327345
PMCPMC8315611

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LicenceCC BY
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Registered trials

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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.