Evidence map›Paper›PMID 38690211›Full record

ReviewSaudi pharmaceutical journal : SPJ : the official publication of the Saudi Pharmaceutical Society2024

Advancing liposome technology for innovative strategies against malaria.

Andang Miatmoko, Rifda Tarimi Octavia, Tamasa Araki, Takeshi Annoura, Retno Sari

Open access · hybridAbstract readReview
In one paragraph

Review in Saudi pharmaceutical journal : SPJ : the official publication of the Saudi Pharmaceutical Society, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.0field-weighted citation impact, top 28% 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

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. Review
  2. Nanoparticle tools for maximizing oral drug delivery.Brazilian journal of medical and biological research = Revista brasileira de pesquisas medicas e biologica · 2025
    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

5 authors at 2 institutions in 2 countries.

Andang MiatmokoDepartment of Pharmaceutical Science, Faculty of Pharmacy, Universitas Airlangga, Campus C UNAIR Mulyorejo, Surabaya 60115, Indonesia.
Rifda Tarimi OctaviaMaster Program of Pharmaceutical Sciences, Faculty of Pharmacy, Universitas Airlangga, Campus C UNAIR Mulyorejo, Surabaya 60115, Indonesia.
Tamasa ArakiDepartment of Parasitology, National Institute of Infectious Diseases (NIID), 1-23-1 Toyama, Shinju-ku, Tokyo 162-8640, Japan.
Takeshi AnnouraDepartment of Parasitology, National Institute of Infectious Diseases (NIID), 1-23-1 Toyama, Shinju-ku, Tokyo 162-8640, Japan.
Retno SariDepartment of Pharmaceutical Science, Faculty of Pharmacy, Universitas Airlangga, Campus C UNAIR Mulyorejo, Surabaya 60115, Indonesia.
Airlangga University · IDNational Institute of Infectious Diseases · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This review discusses the potential of liposomes as drug delivery systems for antimalarial therapies. Malaria continues to be a significant cause of mortality and morbidity, particularly among children and pregnant women. Drug resistance due to patient non-compliance and troublesome side effects remains a significant challenge in antimalarial treatment. Liposomes, as targeted and efficient drug carriers, have garnered attention owing to their ability to address these issues. Liposomes encapsulate hydrophilic and/or hydrophobic drugs, thus providing comprehensive and suitable therapeutic drug delivery. Moreover, the potential of passive and active drug delivery enables drug concentration in specific target tissues while reducing adverse effects. However, successful liposome formulation is influenced by various factors, including drug physicochemical characteristics and physiological barriers encountered during drug delivery. To overcome these challenges, researchers have explored modifications in liposome nanocarriers to achieve efficient drug loading, controlled release, and system stability. Computational approaches have also been adopted to predict liposome system stability, membrane integrity, and drug-liposome interactions, improving formulation development efficiency. By leveraging computational methods, optimizing liposomal drug delivery systems holds promise for enhancing treatment efficacy and minimizing side effects in malaria therapy. This review consolidates the current understanding and highlights the potential of liposome strategies against malaria.

Indexed as

Computational approachesFormulationLiposomeLiposomesMalariaTargeting delivery

Identifiers

PMID38690211
PMCPMC11059525
OpenAlexW4395116829

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.