Evidence map›Paper›PMID 22069714›Full record

ReviewToxins2011

The use of convection-enhanced delivery with liposomal toxins in neurooncology.

Massimo S Fiandaca, Mitchel S Berger, Krystof S Bankiewicz

Open access · goldAbstract readReview
In one paragraph

Review in Toxins, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
1.5field-weighted citation impact, top 19% of its field
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

17 citing papers in PubMed, 1 synthesis or guideline pooled it, 32 citations in OpenAlex.

  1. Pooled it
  2. Clinical GDNF delivery methods for Parkinson's disease.Journal of Parkinson's disease · 2026
    Review
  3. Article
  4. Liposomal Nanomaterials: A Rising Star in Glioma Treatment.International journal of nanomedicine · 2024
    Review
  5. Review
  6. Article
  7. Article
  8. Review
  9. Review
  10. Review
  11. Review
  12. Review
  13. Article
  14. Article
  15. Review
  16. Article
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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

3 authors at 2 institutions in 1 country.

Massimo S FiandacaMolecular Therapeutics Laboratory, Department of Neurological Surgery, University of California San Francisco, 1855 Folsom Street, Mission Center Building, Rm. 226, San Francisco, CA 94103, USA. Massimo.Fiandaca@ucsf.edu
Mitchel S Berger
Krystof S Bankiewicz
University of California, San Francisco · USNeurological Surgery · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Liposomes have long been effective delivery vehicles for transport of toxins to peripheral cancers. The combination of convection-enhanced delivery (CED) with liposomal toxins was originally proposed to circumvent the limited delivery of intravascular liposomes to the central nervous system (CNS) due to the blood-brain-barrier (BBB). CED offers markedly improved distribution of infused therapeutics within the CNS compared to direct injection or via drug eluting polymers, both of which depend on diffusion for parenchymal distribution. This review examines the basis for improved delivery of liposomal toxins via CED within the CNS, and discusses preclinical and clinical experience with these therapeutic techniques. How CED and liposomal technologies may influence future neurooncologic treatments are also considered.

Indexed as

Blood-Brain BarrierBrain NeoplasmsCentral Nervous SystemConvectionDrug Delivery SystemsHumansLiposomesLiposomesblood-brain-barrierconvection-enhanced deliverydiffusiongliomaliposomeneurooncology

Identifiers

PMID22069714
PMCPMC3202827
OpenAlexW2065202466

What OpenQuestion 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 OpenQuestion graph.