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Cited by 567

The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

Estimating future hepatitis C morbidity, mortality, and costs in the United States

Open access
·2000·American Journal of Public Health

Abstract

OBJECTIVES: This study estimated future morbidity, mortality, and costs resulting from hepatitis C virus (HCV). METHODS: We used a computer cohort simulation of the natural history of HCV in the US population. RESULTS: From the year 2010 through 2019, our model projected 165,900 deaths from chronic liver disease, 27,200 deaths from hepatocellular carcinoma, and $10.7 billion in direct medical expenditures for HCV. During this period, HCV may lead to 720,700 years of decompensated cirrhosis and hepatocellular carcinoma and to the loss of 1.83 million years of life in those younger than 65 at a societal cost of $21.3 and $54.2 billion, respectively. In sensitivity analysis, these estimates depended on (1) whether patients with HCV and normal transaminase levels develop progressive liver disease, (2) the extent of alcohol ingestion, and (3) the likelihood of dying from other causes related to the route of HCV acquisition. CONCLUSIONS: Our results confirm prior Centers for Disease Control and Prevention projections and suggest that HCV may lead to a substantial health and economic burden over the next 10 to 20 years.

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Metadata

Venue
American Journal of Public Health
Published
2000-10-01
Volume
90
Issue
10
Pages
1562-1569
ISSN
  • 0090-0036 (ISSN-L)
  • 1541-0048
OpenAlex
W1587896012
Cited by
567
References
4
FWCI
15.03
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Estimating future hepatitis C morbidity, mortality, and costs in the United States. https://app.cochat.ai/papers/10.2105/ajph.90.10.1562
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Estimating future hepatitis C morbidity, mortality, and costs in the United States. (2000). American Journal of Public Health. https://doi.org/10.2105/ajph.90.10.1562

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.