ArticleMedComm2026
Genetic Association Studies in Hepatocellular Carcinoma: Systematic Meta-Analyses, a Comprehensive Field Synopsis, and Epidemiological Evidence.
Article in MedComm, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
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Authors and funding
18 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Associations between various genetic variants and the risk of hepatocellular carcinoma (HCC) have been extensively explored but produced contradictory results. The aim of the present systematic meta-analysis was to determine and validate genetic variants that are associated with HCC risk. Two-step literature searches of PubMed, Embase, Web of Science, and Google Scholar databases and various meta-analyses were performed, and a comprehensive field synopsis and epidemiological evidence were provided. A total of 20,081 publications were identified, of which 830 were deemed eligible for inclusion. Eventually, 36 variants in 27 genes were identified to be associated with HCC risk. Moreover, cumulative epidemiological evidence of an association was graded as moderate for nine variants in eight genes (
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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.