Evidence map›Paper›PMID 24392221›Full record

ArticleJournal of materials chemistry. B2013

Liposome-like Nanostructures for Drug Delivery.

Weiwei Gao, Che-Ming J Hu, Ronnie H Fang, Liangfang Zhang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of materials chemistry. B, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 76 papers.

0numbers the graph read from it
0cells of the map it votes in
76citing 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

76 citing papers in PubMed.

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  15. Nanomedicine in Bladder Cancer Therapy.International journal of molecular sciences · 2024
    Review
  16. Review
  17. Recent nanotheranostic approaches in cancer research.Clinical and experimental medicine · 2024
    Review
  18. Review
  19. Article
  20. Review

16 more citing papers are in PubMed but not listed here.

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.

Weiwei GaoDepartment of NanoEngineering and Moores Cancer Center, University of California, San Diego, La Jolla, CA 92093, USA.
Che-Ming J HuDepartment of NanoEngineering and Moores Cancer Center, University of California, San Diego, La Jolla, CA 92093, USA.
Ronnie H FangDepartment of NanoEngineering and Moores Cancer Center, University of California, San Diego, La Jolla, CA 92093, USA.
Liangfang ZhangDepartment of NanoEngineering and Moores Cancer Center, University of California, San Diego, La Jolla, CA 92093, USA.

Funding

Innate Antimicrobial Nanotherapeutics for the Treatment of H. pylori InfectionR01DK095168 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ZHANG, LIANGFANG · 2012 to 2016
$1.6M
NIDDK NIH HHS R01 DK095168
6 · The paper itself

Abstract

Liposomes are a class of well-established drug carriers that have found numerous therapeutic applications. The success of liposomes, together with recent advancements in nanotechnology, has motivated the development of various novel liposome-like nanostructures with improved drug delivery performance. These nanostructures can be categorized into five major varieties, namely: (1) polymer-stabilized liposomes, (2) nanoparticle-stabilized liposomes, (3) core-shell lipid-polymer hybrid nanoparticles, (4) natural membrane-derived vesicles, and (5) natural membrane coated nanoparticles. They have received significant attention and have become popular drug delivery platforms. Herein, we discuss the unique strengths of these liposome-like platforms in drug delivery, with a particular emphasis on how liposome-inspired novel designs have led to improved therapeutic efficacy, and review recent progress made by each platform in advancing healthcare.

Indexed as

drug deliveryLiposomenanomedicinenanoparticlenanostructure

Identifiers

PMID24392221
PMCPMC3877745

What OpenQuestion holds

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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.