Evidence map›Paper›PMID 42198777›Full record

ArticleViruses2026

From Discovery to Cure-Where Are We Now? Mortality Trends in Chronic Hepatitis C: An Analysis of CDC WONDER Database (1999-2023).

Ashraf Ullah, Hina Wazir, Abdullah Sultany, Khalil Ur Rehman, Mohammad Ibrahim Sultani, Naeem Ahmed Khan, Saeed A Khan, Mati Ullah Dad Ullah, Amlish Gondal

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Article in Viruses, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Ashraf UllahDepartment of Internal Medicine, Guthrie Robert Packer Hospital, Sayre, PA 18840, USA.
Hina WazirJamaica Hospital Medical Center, Richmond Hill, New York City, NY 11418, USA.
Abdullah SultanyDepartment of Internal Medicine, Guthrie Robert Packer Hospital, Sayre, PA 18840, USA.ORCID 0009-0005-4146-7787
Khalil Ur RehmanDepartment of Internal Medicine, Carle Foundation Hospital, Urbana, IL 61801, USA.
Mohammad Ibrahim SultaniFaculty of Medicine, Ankara Yıldırım Beyazıt University, Ankara 06800, Türkiye.
Naeem Ahmed KhanDepartment of Internal Medicine, NYC Health + Hospitals/Woodhull, Brooklyn, NY 11206, USA.ORCID 0009-0007-4842-6368
Saeed A KhanGhurki Trust Teaching Hospital, Lahore 54000, Pakistan.
Mati Ullah Dad UllahDepartment of Internal Medicine, The University of Oklahoma, Norman, OK 73019, USA.
Amlish GondalDepartment of Internal Medicine, Guthrie Robert Packer Hospital, Sayre, PA 18840, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHepatitis C virus (HCV) remains a major cause of preventable liver-related mortality in the United States despite highly effective direct-acting antivirals (DAAs). Contemporary assessment of mortality trends and disparities is essential for elimination efforts.

methodsUsing CDC WONDER multiple cause-of-death data (1999-2023), we identified HCV-related deaths using ICD-10 codes for acute and chronic HCV (B17.1, B18.2) and calculated age-adjusted mortality rates (AAMRs) per 100,000 (2000 US standard). Rates were stratified by sex, race/ethnicity, census region, and 2013 NCHS urban-rural classification. Joinpoint regression quantified temporal inflection points and annual percent changes (APCs).

resultsOverall HCV-related AAMR increased from 1.8 (1999) to a peak of 5.0 (2014), then declined to 2.3 (2023), with a marked post-2014 decrease (APC -8.2%). Mortality was consistently higher in males than females (2023 rate ratio 2.57). In 2023, American Indian/Alaska Native individuals had the highest mortality (AAMR 8.7; rate ratio 3.48 vs. non-Hispanic White), followed by non-Hispanic Black individuals (AAMR 6.2; rate ratio 2.48). Mortality remained highest in the West and was higher in non-metropolitan than metropolitan counties (AAMR 2.8 vs. 2.3; rate ratio 1.22), with a slower post-2014 decline in non-metropolitan areas.

conclusionsOur findings indicate that while the DAA era has been associated with a substantial reduction in HCV-related mortality at the national level, this progress has not been uniform across all populations. Persistent excess mortality among Native American and non-Hispanic Black individuals may reflect inequities in the HCV care cascade, including screening, confirmatory testing, linkage to specialty care, insurance-related restrictions, and the high cost of antiviral therapy. These results highlight the need for policies and public health strategies that improve equitable and affordable access to curative HCV treatment.

Indexed as

Hepatitis C, ChronicAgedAntiviral AgentsCenters for Disease Control and Prevention, U.S.Databases, FactualFemaleHepacivirusHumansMaleUnited StatesAntiviral AgentsCDC WONDERdirect-acting antiviralshealth disparitieshepatitis Cmortality

Identifiers

PMID42198777
PMCPMC13211569

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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.