Evidence map›Paper›PMID 40255469›Full record

ArticleDrug design, development and therapy2025

Potential Application of

Osamah Al Rugaie, Mustafa R Abdulbaqi, Amal W Danial, Hamdoon A Mohammed, Mansour Alsharidah, Hesham M Tawfeek, Ahmed A H Abdellatif

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Drug design, development and therapy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Osamah Al RugaieDepartment of Biology and Immunology, College of Medicine, Qassim University, Buraydah, Saudi Arabia.ORCID 0000-0001-8148-0138
Mustafa R AbdulbaqiDepartment of Pharmaceutics, College of Pharmacy, Al-Naji University, Al-Naji, Iraq.
Amal W DanialBotany and Microbiology Department, Faculty of Science, Assiut University, Assiut, Egypt.
Hamdoon A MohammedDepartment of Medicinal Chemistry and Pharmacognosy, College of Pharmacy, Qassim University, Al Qassim, 51452, Saudi Arabia.ORCID 0000-0003-2896-6790
Mansour AlsharidahDepartment of Physiology, College of Medicine, Qassim University, Buraydah, 51452, Saudi Arabia.
Hesham M TawfeekDepartment of Industrial Pharmacy, Faculty of Pharmacy, Assiut University, Assiut, 71526, Egypt.ORCID 0000-0001-9789-9953
Ahmed A H AbdellatifDepartment of Pharmaceutics, College of Pharmacy, Qassim University, Buraydah, 51452, Saudi Arabia.ORCID 0000-0002-3186-1896

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Urinary tract infections related to catheters are one of the most common urinary infections and can affect patient outcomes. Hence, coating urinary catheters is an important issue against several resistant bacterial pathogens that can form a resistant biofilm. This study examined the antibacterial and antibiofilm properties of the coated catheter with green silver nanoparticles (AgNPs) made from Methods: Results and Discussion: Initial antimicrobial screening tests showed that Conclusion: AgNPs-MARJ offer promising prospects for addressing biofilm-related challenges in urinary tract-related catheter infections.

Indexed as

Anti-Bacterial AgentsMetal NanoparticlesOriganumPlant ExtractsSilverUrinary CathetersBiofilmsDose-Response Relationship, DrugHumansMicrobial Sensitivity TestsParticle SizePseudomonas aeruginosaUrinary Tract InfectionsAnti-Bacterial AgentsPlant ExtractsSilverantibiofilm activityOriganum majoranaplant extractsilver nanoparticlesurinary catheters

Identifiers

PMID40255469
PMCPMC12009120

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.