ReviewPharmaceutical research2014
Theranostic nanoparticles for cancer and cardiovascular applications.
Review in Pharmaceutical research, 2014. 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.
- Current status and recent progress of nanomaterials in transcatheter arterial chemoembolization therapy for hepatocellular carcinoma.World journal of clinical oncology · 2025Review
- Integrating Nanotechnology in Neurosurgery, Neuroradiology, and Neuro-Oncology Practice-The Clinicians' Perspective.Frontiers in bioengineering and biotechnology · 2022Article
- Ginsenosides emerging as both bifunctional drugs and nanocarriers for enhanced antitumor therapies.Journal of nanobiotechnology · 2021Review
- Chemistry Routes for Copolymer Synthesis Containing PEG for Targeting, Imaging, and Drug Delivery Purposes.Pharmaceutics · 2019Review
- Article
- Theranostic Nanomedicine for Malignant Gliomas.Frontiers in bioengineering and biotechnology · 2019Review
- Doxorubicin-loaded protease-activated near-infrared fluorescent polymeric nanoparticles for imaging and therapy of cancer.International journal of nanomedicine · 2018Article
- Multimodality imaging in nanomedicine and nanotheranostics.Cancer biology & medicine · 2016Article
- Laminin Receptor-Avid Nanotherapeutic EGCg-AuNPs as a Potential Alternative Therapeutic Approach to Prevent Restenosis.International journal of molecular sciences · 2016Article
- Polymeric Nanostructures for Imaging and Therapy.Chemical reviews · 2015Review
- Targeting cancer stem cells by using the nanoparticles.International journal of nanomedicine · 2015Review
- Uptake and metabolism of iron oxide nanoparticles in brain cells.Neurochemical research · 2014Review
- Covalent IR820-PEG-diamine nanoconjugates for theranostic applications in cancer.International journal of nanomedicine · 2014Article
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
No grant is acknowledged in the PubMed record.
Abstract
Theranostics have received enormous attentions for individualized diagnosis and treatment in the past few years. Especially, the availability of various nanoplatforms provides great potentials for designing of sophisticated theranostic agents including imaging, targeting and therapeutic functions. Numerous reports have been published on how to construct multifunctional nanoparticles for the targeted diagnosis and therapy simultaneously since the concept of "theranostics". This review presents recent advances of molecular imaging and nanoplatform technology, and their applications in drug discovery and development. Applications of nanoplatform-based theranostics in cancer and cardiovascular diseases will also be covered including diagnosis, assessment of drug biodistribution, and visualization of drug release from nanoparticles, as well as monitoring of therapeutic effects.
Indexed as
Identifiers
24595494What 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.