[Silent shift: changes in the types and subtypes of hepatitis C virus in Hungarian patients over three decades (1996-2026)].
Orvosi hetilap·
- DOI
- 10.1556/650.2026.33628
- PMID
- 42604548
- PMCID
- —
- OpenAlex
- W7203655577
- Study type
- Journal article
- Publisher
- Publisher unavailable
- Article type
- journal-article
- Integrity
- current
Why this research matters now
The abstract states that HCV genotype monitoring can assist identification of uncommon subtypes, investigation of unexpected treatment outcomes, epidemiologic investigations, and distinguishing relapse from reinfection. These are stated roles of monitoring, not evidence that any specific intervention or surveillance system achieved those outcomes.
Structured evidence summary
Research question
The study examined hepatitis C virus genotype and subtype distributions in a Hungarian national laboratory sample, including variation by age, sex, region, and calendar period from 1996 to 2026.
Study design
Descriptive analysis of 9,067 samples assessed through serotyping in 1996-1999, hybridization-based genotyping in 2000-2016, and real-time PCR from 2016 onward. The laboratory reports national coverage.
Population and setting
The population was a national sample of Hungarian patients tested by a Molecular Diagnostic Laboratory over three decades. The abstract describes comparisons by age, sex, and geographic region.
Main findings
Subtype GT1b was the most frequent subtype throughout the study period, while its relative share declined compared with GT1a and GT3. Age below 40 years was statistically associated with greater prevalence of GT3 and genotypes other than GT1b; GT3 was most common in the Southwest and non-GT1b genotypes in the Northeast.
Public-health relevance
The abstract states that HCV genotype monitoring can assist identification of uncommon subtypes, investigation of unexpected treatment outcomes, epidemiologic investigations, and distinguishing relapse from reinfection. These are stated roles of monitoring, not evidence that any specific intervention or surveillance system achieved those outcomes.
Important limitations
The abstract does not provide a detailed limitations section. Genotype or subtype assessment used three different methods in successive time periods, which may limit direct comparability across the full time series; interpretation is also limited to the supplied single-article abstract and metadata and requires the original paper for decision-grade assessment.
GIDS interpretation
This article is discoverable in the supplied classification context through Hepatitis C, Hungary, Diagnostics, and Treatment labels. It describes historical genotype and subtype patterns in a laboratory sample; it does not establish or confirm any live surveillance signal.
Related GIDS surveillance
Literature context does not validate, explain, or change a surveillance signal. Exact and contextual relationships are shown separately.
Evidence relationships
This article has 10 auditable classifier relationships to diseases, places, topics, and study design.