ArticleScientific reports2025
Response to therapy with direct antiviral drugs in HCV-infected patients with diabetes.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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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.
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Who cites it
1 citing paper in PubMed.
- Machine learning-based prediction of treatment response in comorbid hepatitis C patients receiving DAA therapy: a real-world study from Pakistan.Frontiers in public health · 2026Article
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Authors and funding
16 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The clinical and metabolic interactions between hepatitis C virus (HCV) infection and diabetes mellitus (DM) are well documented. The study aimed to compare HCV-infected patients with and without DM. The analysis included 18,968 patients treated with direct-acting antivirals (DAAs) between 2015 and 2023, whose data were collected retrospectively. In the study population, 2179 patients (11.5%) were diagnosed with DM. Compared to the non-diabetic population, they were male-dominated (p = 0.003), had a significantly higher proportion of patients aged ≥ 50 years (p < 0.001), and were more burdened with comorbidities (p < 0.001). The most common HCV genotype was 1b with a significantly higher prevalence in the diabetic group (p < 0.001). Liver disease advancement was higher in diabetic patients, with 17.9% advanced fibrosis and 48% cirrhosis compared to 13.2% (p < 0.001) and 21.8% (p < 0.001) in the non-diabetic population. The effectiveness of DAA therapy in patients with DM was significantly lower compared to the population without diabetes, both in intent-to-treat analysis 93.1% vs. 94.6%, p = 0.015, and per-protocol analysis 96.8% vs. 97.7%, p = 0.0128, however, logistic regression analysis did not confirm the role of diabetes as an independent predictor of treatment failure, suggesting that in the absence of other negative prognostic factors, DM alone does not reduce the chances of cure.
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