Evidence map›Paper›PMID 24341817›Full record

ReviewTherapeutic delivery2014

Nanomicellar carriers for targeted delivery of anticancer agents.

Xiaolan Zhang, Yixian Huang, Song Li

Abstract readReview
In one paragraph

Review in Therapeutic delivery, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Polymeric Nanoparticles for Wound Healing.Pharmaceutical nanotechnology · 2025
    Review
  2. Review
  3. Review
  4. Review
  5. Article
  6. Review
  7. RSC advances · 2019
    Article
  8. Review
  9. Article
  10. Review
  11. Applications of nanoparticle systems in drug delivery technology.Saudi pharmaceutical journal : SPJ : the official publication of the Saudi Pharmaceutical Society · 2018
    Review
  12. Article
  13. Article
  14. Article
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.

Xiaolan ZhangCenter for Pharmacogenetics, Department of Pharmaceutical Sciences, University of Pittsburgh School of Pharmacy, Pittsburgh, PA 15261, USA.
Yixian Huang
Song Li

Funding

Rational Design of Lipidic Vectors for Mitochondria-Targeted AntioxidantsR01GM102989 · NIGMS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI LI, SONG · 2013 to 2016
$1.1M
Polymeric System for Synergistic Targeting of AR Signaling in Prostate CancerR21CA155983 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI LI, SONG · 2011 to 2012
$362k
NCI NIH HHS R21 CA155983NCI NIH HHS R21CA155983NIGMS NIH HHS R01 GM102989NIGMS NIH HHS R01GM102989
6 · The paper itself

Abstract

Clinical application of anticancer drugs is limited by problems such as low water solubility, lack of tissue-specificity and toxicity. Formulation development represents an important approach to these problems. Among the many delivery systems studied, polymeric micelles have gained considerable attention owing to ease in preparation, small sizes (10-100 nm), and ability to solubilize water-insoluble anticancer drugs and accumulate specifically at the tumors. This article provides a brief review of several promising micellar systems and their applications in tumor therapy. The emphasis is placed on the discussion of the authors' recent work on several nanomicellar systems that have both a delivery function and antitumor activity, named dual-function drug carriers.

Indexed as

NanoparticlesAnimalsAntineoplastic AgentsDrug CarriersDrug Delivery SystemsDrug InteractionsEnvironmentFarnesolHumansPolymersSalicylatesAntineoplastic AgentsDrug CarriersFarnesolfarnesylthiosalicylic acidPolymersSalicylates

Identifiers

PMID24341817
PMCPMC3913259

What OpenQuestion holds

Textmetadata
LicenceTDM
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.