Evidence map›Paper›PMID 39438651›Full record

ArticleScientific reports2024

Antibiotic use in pediatric dental infections: knowledge and awareness levels of dentists.

Elif Esra Ozmen, Tuğçe Nur Sahin

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

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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

2 authors.

Elif Esra OzmenDepartment of Oral and Maxillofacial Surgery, Ahmet Keleşoğlu Faculty of Dentistry, Karamanoglu Mehmetbey University, 70000, Karaman, Türkiye. elifesraozmen89@gmail.com.ORCID 0000-0003-1920-4655
Tuğçe Nur SahinPediatric Dentistry Department, Ahmet Keleşoğlu Faculty of Dentistry, Karamanoglu Mehmetbey University, Karaman, Türkiye.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Antibiotics are crucial in treating infections; however, their unnecessary and incorrect use can lead to numerous health issues, notably antibiotic resistance. Evaluating the accuracy and awareness of antibiotic prescription practices among dentists, who play a significant role in antibiotic use, is critical in developing effective health policies and professional training programs. This study assesses dentists' knowledge levels and practice habits regarding antibiotic use. Using a structured questionnaire, the research employed a cross-sectional design and was conducted with 202 general dentists, 98 pediatric dentists, and 43 oral and maxillofacial surgeons. Data were analyzed using demographic characteristics, antibiotic prescription practices, and scenario-based questions measuring knowledge levels. The results revealed that while most participants were generally knowledgeable about antibiotic use, inconsistencies in prescription practices were evident. Notably, unnecessary antibiotic prescriptions were identified in some cases, contributing to significant health issues such as antibiotic resistance. This study emphasizes the necessity of promoting conscious antibiotic use by evaluating dentists' practices. Therefore, the urgent need for developing professional training programs and strengthening strategies to combat antibiotic resistance is paramount.

Indexed as

Anti-Bacterial AgentsDentistsHealth Knowledge, Attitudes, PracticePractice Patterns, Dentists'AdultChildCross-Sectional StudiesFemaleHumansMaleMiddle AgedSurveys and QuestionnairesAnti-Bacterial AgentsAntibiotic resistanceAntibioticsDental infection controlDentistryPediatric

Identifiers

PMID39438651
PMCPMC11496511

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.