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Exploring the Knowledge, Attitudes, Behaviors and Perceived Barriers of Hepatologists Towards Non-invasive Hepatocellular Carcinoma Prediction Models in Hepatitis C Patients Who Achieved Sustained Virological Response Following Direct Acting Antivirals Therapy

Exploring the Knowledge, Attitudes, Behaviors and Perceived Barriers of Hepatologists Towards Non-invasive Hepatocellular Carcinoma Prediction Models in Hepatitis C Patients Who Achieved Sustained Virological Response Following Direct Acting Antivirals Therapy

Status
Not yet recruiting
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT06872047
Enrollment
400
Registered
2025-03-12
Start date
2025-04-01
Completion date
2026-08-01
Last updated
2025-03-12

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Non-invasive Hepatocellular Carcinoma

Brief summary

This study aims to assess the knowledge, attitudes, and behaviors (KAB) of hepatologists regarding different models used to predict hepatocellular carcinoma (HCC) in patients with chronic hepatitis C (HCV) who achieved sustained virological response (SVR) after direct-acting antiviral (DAA) therapy. The study will use a structured questionnaire targeting hepatologists globally to evaluate their familiarity with, confidence in, and clinical application of various predictive models. The primary outcome is the proportion of hepatologists who incorporate prediction models in clinical practice, while secondary outcomes include the level of knowledge about different models, perceived reliability, and barriers to their implementation the aim of the study 1) To evaluate the level of knowledge among hepatologists regarding existing HCC prediction models for post-SVR HCV patients. 2\) To assess hepatologists' attitudes toward the utility, reliability, and clinical value of these models. 3\) To identify the extent to which hepatologists incorporate predictive models into their clinical decision-making. 4\) To determine perceived barriers to the adoption of these models in clinical practice. 5\) To explore the factors associated with poor adoption of these predictive models.

Interventions

None listed

Sponsors

Assiut University
Lead SponsorOTHER

Study design

Observational model
CASE_ONLY
Time perspective
CROSS_SECTIONAL

Eligibility

Sex/Gender
ALL
Age
18 Years to 65 Years
Healthy volunteers
Yes

Inclusion criteria

* Hepatologists with at least one year of experience in managing HCV patients

Exclusion criteria

* Non-hepatologists, general practitioners, or respondents who submit incomplete surveys

Design outcomes

Primary

MeasureTime frameDescription
percentage of hepatologists who use HCC prediction models in clinical practice.baselineThe percentage of hepatologists who use HCC prediction models in clinical practice.

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026