ReviewBiomedicines2025
New Insights into the Diagnosis and Treatment of Hepatocellular Carcinoma.
Review in Biomedicines, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
7 citing papers in PubMed.
- TLCD1 correlates with malignant progression of hepatocellular carcinoma and activation of the ERK signaling cascade.Scientific reports · 2026Article
- Potential of Dietary Agent Daidzein in Cancer Prevention and Treatment: Opportunities and Challenges.Cancers · 2026Review
- Enhancing antitumor immunity through oncolytic viruses: advances in genetic engineering.Discover oncology · 2026Review
- Dual Roles of Natural Products in Regulating Ferroptosis in Acute and Chronic Liver Diseases: A Review.Oxidative medicine and cellular longevity · 2026Review
- Comprehensive Evaluation and Validation Reveal Mitochondrial Solute Carrier SLC25A3 as a Novel Prognostic Biomarker and Therapeutic Target in Hepatocellular Carcinoma.Journal of hepatocellular carcinoma · 2026Article
- Metabolites involvement in the growth and spread of liver cancer.Liver research (Beijing, China) · 2025Review
- Innovative Approaches to Hepatocellular Carcinoma: Diagnostic Breakthroughs, Biomarker Integration, and Artificial Intelligence.Biomedicines · 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
3 authors.
Funding
Abstract
Hepatocellular carcinoma remains one of the leading contributors to global cancer mortality, frequently stemming from chronic liver conditions, such as viral hepatitis, non-alcoholic fatty liver disease, and alcohol-induced cirrhosis. While antiviral treatments have made significant strides, the rising prevalence of hepatocellular carcinoma linked to non-infectious causes underscores the pressing demand for more effective diagnostic tools and therapeutic interventions. Advances in imaging and liquid biopsy technologies have facilitated early detection and diagnosis, and treatment strategies are diversifying to include immune checkpoint inhibitors, tyrosine kinase inhibitors, and interventional therapies. Translational therapies for advanced hepatocellular carcinoma have improved surgical opportunities and patient survival. Artificial intelligence has played a transformative role in the diagnosis and treatment of hepatocellular carcinoma, in terms of image analysis, histopathologic classification, drug development, and targeted therapy. The future of hepatocellular carcinoma treatment lies in precision oncology and the collaboration of multidisciplinary teams, as well as in early detection. The ultimate goal is to keep patients alive longer and reduce the global burden of this complex malignancy.
Indexed as
Identifiers
What OpenQuestion holds
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.