Evidence map›Paper›PMID 39834835›Full record

ReviewFrontiers in pharmacology2024

Applications of polymeric nanoparticles in drug delivery for glioblastoma.

Shuhan Liu, Bin Tan, Feng Wang, Ying Yu

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Frontiers in pharmacology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed.

  1. Review
  2. Article
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  5. Article
  6. Article
  7. Review
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  9. Article
  10. Article
  11. Review
  12. Review
  13. Nanomedicine for Glioblastoma Therapy: Novel Insights and Future Perspectives.Wiley interdisciplinary reviews. Nanomedicine and nanobiotechnology
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Shuhan Liu *Department of Neurosurgery, The First Hospital, Jilin University, Changchun, Jilin, China.
Bin Tan *Department of Neurosurgery, The First Hospital, Jilin University, Changchun, Jilin, China.
Feng WangKey Laboratory of Organ Regeneration and Transplantation of Ministry of Education, Institute of Immunology, The First Hospital, Jilin University, Changchun, Jilin, China.
Ying YuDepartment of Neurosurgery, The First Hospital, Jilin University, Changchun, Jilin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Glioblastoma (GBM) remains one of the most aggressive and treatment-resistant brain tumors, necessitating innovative therapeutic approaches. Polymer-based nanotechnology has emerged as a promising solution, offering precise drug delivery, enhanced blood-brain barrier (BBB) penetration, and adaptability to the tumor microenvironment (TME). This review explores the diverse applications of polymeric nanoparticles (NPs) in GBM treatment, including delivery of chemotherapeutics, targeted therapeutics, immunotherapeutics, and other agents for radiosensitization and photodynamic therapy. Recent advances in targeted delivery and multifunctional polymer highlight their potential to overcome the challenges that GBM brought, such as heterogeneity of the tumor, BBB limitation, immunosuppressive TME, and consideration of biocompatibility and safety. Meanwhile, the future directions to address these challenges are also proposed. By addressing these obstacles, polymer-based nanotechnology represents a transformative strategy for improving GBM treatment outcomes, paving the way for more effective and patient-specific therapies.

Indexed as

drug deliveryglioblastomananoparticlespolymertreatment

Identifiers

PMID39834835
PMCPMC11742935

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.