Evidence map›Paper›PMID 36394828›Full record

ArticleMedical science monitor basic research2022

Evaluation of Antimicrobial Effectiveness of Dental Cement Materials on Growth of Different Bacterial Strains.

Zana D Lila-Krasniqi, Rrezarta Bajrami Halili, Valeza Hamza, Sokol Krasniqi

Abstract read
In one paragraph

Article in Medical science monitor basic research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. SEM evaluation of dental cement surface morphology and microbial adhesion - a comparative study.Romanian journal of morphology and embryology = Revue roumaine de morphologie et embryologie
    Article
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

4 authors.

Zana D Lila-KrasniqiDepartment of Prosthetic Dentistry, Dental Branch of Faculty of Medicine, University of Prishtina, Prishtina, Kosovo.ORCID 0000-0002-3462-3834
Rrezarta Bajrami HaliliDepartment of Microbiology, Faculty of Medicine, University of Prishtina, Prishtina, Kosovo.
Valeza HamzaDepartment of Orthodontics Dentistry, Dental Branch of Faculty of Medicine, University of Prishtina, Prishtina, Kosovo.
Sokol KrasniqiDepartment of Orthodontics Dentistry, Dental Branch of Faculty of Medicine, University of Prishtina, Prishtina, Kosovo.ORCID 0000-0002-4051-7085

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND The aim of this study was to evaluate the antimicrobial effectiveness of dental cement materials for the prevention of bacterial growth, which can cause failure of fixed cementation. MATERIAL AND METHODS We developed an agar diffusion disk test in-house to evaluate the antibacterial properties of 3 commercially available dental cement materials (Ketac, Harvard FLB, and Panavia SA Universal Dual Resin cements) compared with a negative control. The materials were tested for the inhibition against Streptococcus mutans (ATCC 10449), Streptoccocus salivarius (ATCC 25975), Enterococcus faecalis (ATCC 29212), and Lactobacilus acidophilus (ATCC 4356). The antimicrobial effectiveness of materials was expressed as the diameters of the inhibition zones around the disk. RESULTS Overall, 240 specimens were tested. All cement materials showed antimicrobial effectiveness. Different microbial strains reacted differently to the different dental cements (all P.

Indexed as

Anti-Infective AgentsAnti-Bacterial AgentsResin CementsStreptococcus mutansAnti-Bacterial AgentsAnti-Infective AgentsResin Cements

Identifiers

PMID36394828
PMCPMC9642093

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.