ArticleCureus2024
Exploring the Relationship Between Hepatitis C Virus Infection and Prostate Cancer Risk: A National Health and Nutrition Examination Survey Analysis.
Article in Cureus, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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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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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
2 citing papers in PubMed, 1 citations in OpenAlex.
- Hepatitis C virus and extrahepatic malignancies: where we stand and how we can advance the field.Translational cancer research · 2026Article
- Genetic and transcriptional insights reveal hepatitis C virus as a driver of kidney cancer.Infectious agents and cancer · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 5 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction Prostate cancer and hepatitis C virus (HCV) infection stand as notable worldwide health issues. Investigating the connection between HCV infection and the risk of prostate cancer remains an ongoing endeavor, complicated by contradictory findings in prior research. It is imperative to comprehend this potential relationship in order to enhance strategies for prevention and treatment. This paper seeks to delve into the association between HCV infection and prostate cancer by analyzing data from the National Health and Nutrition Examination Survey (NHANES), a comprehensive cross-section of the US population. Methods Information extracted from the NHANES dataset encompassed the period spanning from March 2017 to March 2020, with a focus on the "medical conditions" and "hepatitis" segments. Employing logistic regression analysis, we aimed to discern the connection between HCV infection and the prior occurrence of prostate cancer. This analysis was conducted while factoring in variables such as weight, hypertension, hyperlipidemia, race, educational level, and marital status to ensure the accuracy of the findings. The results of this examination yielded adjusted odds ratios (OR), coefficients of association (B), and corresponding confidence intervals (CI). Results The outcomes derived from the comprehensive multivariate logistic regression analysis, utilizing NHANES data, indicated an absence of a statistically noteworthy correlation between HCV infection and the probability of prostate cancer occurrence. While accounting for diverse variables like weight, hypertension, hyperlipidemia, race, educational level, and marital status, no substantial relationship was observed between HCV infection and the risk of prostate cancer. These results are consistent with earlier investigations that similarly struggled to establish a definitive connection between HCV infection and the incidence of prostate cancer. Conclusion Drawing from NHANES data, this study indicates the absence of a substantial link between HCV infection and the incidence of prostate cancer. The divergent findings observed in prior research accentuate the intricate nature of the connection between HCV infection and prostate cancer. Future investigations should encompass more extensive sample sizes, prospective frameworks, and a meticulous assessment of potential variables that might confound the results. Furthermore, it is important to examine the potential protective impact of HCV infection due to antiviral interventions and its effect on the associated risk of prostate cancer. Such endeavors would offer valuable insights for individuals grappling with these health challenges.
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Registered trials
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.