ReviewBeilstein journal of nanotechnology2024
Recent updates in applications of nanomedicine for the treatment of hepatic fibrosis.
Review in Beilstein journal of nanotechnology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 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
13 citing papers in PubMed.
- Enhancing anti-fibrotic therapy: nanomedicine approaches to overcome current limitations.Materials today. Bio · 2026Review
- Peptide-Functionalized Liposomal Nanocarriers for Targeted Therapy of Liver Fibrosis and Hepatocellular Carcinoma: Design, Mechanisms, and Clinical Prospects.ACS pharmacology & translational science · 2026Review
- Smart nanoparticle delivery systems for curcumin: a targeted strategy to enhance anticancer efficacy and bioavailability.Journal of materials science. Materials in medicine · 2026Review
- Hepatotropic Nanomedicine and Targeted Nanocarriers for Liver Diseases and Hepatocellular Carcinoma.International journal of nanomedicine · 2026Review
- The Dual-Faceted Role of Metal-Based Nanomaterials in Hepatic Fibrosis Therapy.International journal of nanomedicine · 2026Review
- A review on recent advances in lipid-based drug delivery systems for tuberculosis.Iranian journal of basic medical sciences · 2026Review
- Emerging Approaches for the Treatment of Metabolic Dysfunction-Associated Steatotic Liver Disease: The Application of Nanomedicines.International journal of nanomedicine · 2026Review
- Nanoparticle Drug Delivery Systems: The Future Direction for the Treatment of Tumors.International journal of nanomedicine · 2026Review
- Targeted Hepatic Delivery of Bioactive Molecules via Nanovesicles: Recent Developments and Emerging Directions.Journal of personalized medicine · 2025Review
- Micheliolide Alleviates Hepatic Fibrosis by Inhibiting Autophagy in Hepatic Stellate Cells via the TrxR1/2-Mediated ROS/MEK/ERK Pathway.Pharmaceuticals (Basel, Switzerland) · 2025Article
- Venom-loaded cationic-functionalized poly(lactic acid) nanoparticles for serum production againstBeilstein journal of nanotechnology · 2025Article
- Article
- Breaking down physical barriers: strategies to improve lymphocyte infiltration for effective neoantigen-based therapies.Frontiers in immunology · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Over recent decades, nanomedicine has played an important role in the enhancement of therapeutic outcomes compared to those of conventional therapy. At the same time, nanoparticle drug delivery systems offer a significant reduction in side effects of treatments by lowering the off-target biodistribution of the active pharmaceutical ingredients. Cancer nanomedicine represents the most extensively studied nanotechnology application in the field of pharmaceutics and pharmacology since the first nanodrug for cancer treatment, liposomal doxorubicin (Doxil
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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.