Evidence map›Paper›PMID 30413898›Full record

ArticleLasers in medical science2019

The antifungal agent of silver nanoparticles activated by diode laser as light source to reduce C. albicans biofilms: an in vitro study.

Suryani D Astuti, Putri S Puspita, Alfian P Putra, Andi H Zaidan, Mochamad Z Fahmi, Ardiyansyah Syahrom, Suhariningsih

Abstract read
PubMed Publisher
In one paragraph

Article in Lasers in medical science, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
3.1field-weighted citation impact, top 8% 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

12 citing papers in PubMed, 37 citations in OpenAlex.

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  12. The effects of laser diode treatment on liver dysfunction ofJournal of advanced veterinary and animal research · 2019
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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

7 authors at 3 institutions in 2 countries.

Suryani D AstutiDepartment of Physics, Faculty Science and Technology, Universitas Airlangga, Surabaya, 60115, Indonesia. suryanidyah@fst.unair.ac.id.ORCID http://orcid.org/0000-0003-3000-0792
Putri S PuspitaMagister of Physics Engineering, Institute of Technology Sepuluh Nopember, Surabaya, 60111, Indonesia.
Alfian P PutraBiomedical Engineering Study Program, Department of Physics, Faculty of Sciences and Technology, Universitas Airlangga, Surabaya, 60115, Indonesia.
Andi H ZaidanDepartment of Physics, Faculty Science and Technology, Universitas Airlangga, Surabaya, 60115, Indonesia.
Mochamad Z FahmiDepartment of Chemistry, Faculty of Sciences and Technology, Universitas Airlangga, Surabaya, 60115, Indonesia.
Ardiyansyah SyahromDepartment of Applied Mechanics and Design, Faculty of Mechanical Engineering, Universiti Teknologi Malaysia, 81310, Johor Bahru, Malaysia.
SuhariningsihDepartment of Physics, Faculty Science and Technology, Universitas Airlangga, Surabaya, 60115, Indonesia.
Airlangga University · IDSepuluh Nopember Institute of Technology · IDUniversity of Technology Malaysia · MY

Funding

Universitas Airlangga 843/UN3.1.15/PPd/2017
6 · The paper itself

Abstract

Candida albicans is a normal flora caused fungal infections and has the ability to form biofilms. The aim of this study was to improve the antifungal effect of silver nanoparticles (AgNPs) and the light source for reducing the biofilm survival of C. albicans. AgNPs were prepared by silver nitrate (AgNO

Indexed as

Lasers, SemiconductorAntifungal AgentsBiofilmsCandida albicansHydrogen-Ion ConcentrationMetal NanoparticlesMicrobial Sensitivity TestsMicrobial ViabilityParticle SizeSilverAntifungal AgentsSilverAgNPsAntifungal effectBiofilmCandida albicansLasers diode

Identifiers

PMID30413898
OpenAlexW2900306340

What OpenQuestion holds

Textmetadata
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.