Evidence map›Paper›PMID 30651728›Full record

ReviewAdvances in pharmacological sciences2018

Niosome: A Promising Nanocarrier for Natural Drug Delivery through Blood-Brain Barrier.

Mahmoud Gharbavi, Jafar Amani, Hamidreza Kheiri-Manjili, Hossein Danafar, Ali Sharafi

Abstract readReview
In one paragraph

Review in Advances in pharmacological sciences, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 89 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
89citing papers in PubMed, 1 pooled it
–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

89 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Design-ExpertPharmaceutics · 2026
    Article
  4. Niosomal Encapsulation ofPharmaceutics · 2026
    Article
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29 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

5 authors.

Mahmoud GharbaviSchool of Pharmacy, Zanjan University of Medical Sciences, Zanjan, Iran.
Jafar AmaniApplied Microbiology Research Center, Systems Biology and Poisonings Institute, Baqiyatallah University of Medical Sciences, Tehran, Iran.ORCID 0000-0002-5155-4738
Hamidreza Kheiri-ManjiliSchool of Pharmacy, Zanjan University of Medical Sciences, Zanjan, Iran.
Hossein DanafarSchool of Pharmacy, Zanjan University of Medical Sciences, Zanjan, Iran.
Ali SharafiSchool of Pharmacy, Zanjan University of Medical Sciences, Zanjan, Iran.ORCID 0000-0002-6012-1424

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Niosomes (the nonionic surfactant vesicles), considered as novel drug delivery systems, can improve the solubility and stability of natural pharmaceutical molecules. They are established to provide targeting and controlled release of natural pharmaceutical compounds. Many factors can influence on niosome construction such as the preparation method, type and amount of surfactant, drug entrapment, temperature of lipids hydration, and the packing factor. The present review discusses about the most important features of niosomes such as their diverse structures, the different preparation approaches, characterization techniques, factors that affect their stability, their use by various routes of administration, their therapeutic applications in comparison with natural drugs, and specially the brain targeting with niosomes-ligand conjugation. It also provides recent data about the various types of ligand agents which make available active targeting drug delivery to the central neuron system. This system has an optimistic upcoming in pharmaceutical uses, mostly with the improving availability of innovative schemes to overcome blood-brain barrier and targeting the niosomes to the brain.

Identifiers

PMID30651728
PMCPMC6311792

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Registered trials

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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.