Evidence map›Paper›PMID 40703664›Full record

ArticleInternational journal of pharmaceutics: X2025

Development and characterization of fenticonazole nitrate-loaded cubogel for the management of vaginal candidiasis.

Sadek Ahmed, Osama Saher, Heba Attia, Abdurrahman M Fahmy, Islam M Adel

Abstract read
In one paragraph

Article in International journal of pharmaceutics: X, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

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  11. Innovative hyaluronic acid-decorated quatsomes for enhanced renal targeting: design, optimization andJournal of pharmacy & pharmaceutical sciences : a publication of the Canadian Society for Pharmaceutical Sciences, Societe canadienne des sciences pharmaceutiques · 2026
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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

5 authors.

Sadek AhmedDepartment of Pharmaceutics and Industrial Pharmacy, Faculty of Pharmacy, Cairo University, Kasr El-Aini Street, Cairo 11562, Egypt.
Osama SaherDepartment of Pharmaceutics and Industrial Pharmacy, Faculty of Pharmacy, Cairo University, Kasr El-Aini Street, Cairo 11562, Egypt.
Heba AttiaDepartment of Microbiology and Immunology, Faculty of Pharmacy, Cairo University, Kasr El-Aini Street, Cairo 11562, Egypt.
Abdurrahman M FahmyDepartment of Pharmaceutics and Industrial Pharmacy, Faculty of Pharmacy, Cairo University, Kasr El-Aini Street, Cairo 11562, Egypt.
Islam M AdelDepartment of Pharmaceutics and Industrial Pharmacy, Faculty of Pharmacy, Cairo University, Kasr El-Aini Street, Cairo 11562, Egypt.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Vaginal candidiasis is a medical condition that affects large majority of the women at least once in their lifetime. The condition manifests with itching, irritation, and discharges which is troublesome for women during mundane activities. The purpose of this research was to formulate and evaluate the physicochemical properties and drug permeation of Fenticonazole-loaded cubogel through vaginal mucosa. Concisely, the drug-loaded cubosomes were prepared via hot dispersion emulsification technique. Following, the percent drug entrapment efficiency, particle size, polydispersity index, and zeta potential of the cubosomes were determined. Optimization criteria involved maximizing entrapment efficiency (EE %) and zeta potential (ZP), while maintaining a nanoscale particle size to ensure colloidal stability. The optimized formulation exhibited a high desirability score of 0.933 with EE % of 85.32

Indexed as

Confocal laser microscopyCubogelCubosomesEx vivo permeationFenticonazole nitrateHistopathology

Identifiers

PMID40703664
PMCPMC12284559

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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.