SynthesisJournal of neural transmission (Vienna, Austria : 1996)2024
Risk of Parkinson's disease in hepatitis B and C populations: a systematic review and meta-analysis.
Synthesis in Journal of neural transmission (Vienna, Austria : 1996), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 2 of them syntheses that pooled it.
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.
The trial behind it
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
9 citing papers in PubMed, 2 syntheses or guidelines pooled it, 6 citations in OpenAlex.
- Viral infections and the risk of neurodegenerative diseases: a comprehensive meta-analysis and systematic review.Translational psychiatry · 2025Pooled it
- Hepatitis C virus infection and Parkinson's disease: insights from a joint sex-stratified BioOptimatics meta-analysis.Scientific reports · 2024Pooled it
- Interpreting Viral Associations in Neurodegenerative Diseases.International journal of molecular sciences · 2026Review
- Consensus Molecules Associated with Parkinson's Disease.Neurology international · 2026Review
- Association of nucleos(t)ide analogue therapy with Parkinson disease in chronic hepatitis B patients.Scientific reports · 2025Article
- Hepatic encephalopathy as an indication or contraindication to liver transplant?Metabolic brain disease · 2025Review
- Underestimated virus impaired cognition-more evidence and more work to do.Frontiers in immunology · 2025Review
- Is There such a Thing as Post-Viral Depression?: Implications for Precision Medicine.Biomolecules & therapeutics · 2024Review
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Parkinson's disease (PD) is a common neurodegenerative disorder, and its association with viral hepatitis has been debated. We performed a meta-analysis to examine the association between PD risk and viral hepatitis. Medline, EMBASE, and the Cochrane library were searched from inception till July 2022. Meta-analysis was conducted using a fixed-effect model with the inverse variance method. Three groups were compared to controls: infection with either hepatitis B or C virus (HBV and HCV, respectively), or coinfection with both viruses. We found 551 records, and six studies comprising of 2,566,947 patients were included in the analysis. PD risk was increased in HCV-infected population (OR 1.10, 95% CI 1.03-1.17, p = 0.005) and (HR 1.37, 95% CI 1.26-1.49, p < 0.001). This increase was not observed for the HBV-infected and HBV-HCV-coinfected coinfection populations. For pooled OR, the risk was significantly lower in HBV-infected (OR 0.79, 95% CI 0.76-0.83, p < 0.001) but not significantly different in HBV-HCV-coinfected populations (OR 0.96, 95% CI 0.82-1.12, p = 0.57). For pooled HR, the risk was significantly higher in both HBV-infected (HR 1.22, 95% CI 1.14-1.31, p < 0.001) and HBV-HCV-coinfected populations (HR 1.29, 95% CI 1.05-1.58, p = 0.013). We found that the risk of PD was increased in the HCV-infected population, but results were inconsistent in those with HBV and HBV-HCV infections. Our findings provide impetus for further clinical and functional studies to unravel the role of the adaptive immune system in PD.
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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.