Evidence map›Paper›PMID 38951844›Full record

ArticleBMC oral health2024

Evaluation of Turkish dentists' knowledge about oral cancer and oral mucosal lesions.

Zeynep Gümrükçü, Mert Karabağ

Abstract read
In one paragraph

Article in BMC oral health, 2024. 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
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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.

Zeynep GümrükçüDepartment of Oral and Maxillofacial Surgery, Faculty of Dentistry, Recep Tayyip Erdoğan University, Rize, Turkey.ORCID http://orcid.org/0000-0001-5399-2152
Mert KarabağDepartment of Oral and Maxillofacial Surgery, Faculty of Dentistry, Recep Tayyip Erdoğan University, Rize, Turkey. mertkarabag@yahoo.com.ORCID http://orcid.org/0000-0003-1387-4367

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

background/purposeOral cancer, including malignancies of the tongue, lips, floor of the mouth, cheek mucosa, gums, palate, and oropharynx, is life-threatening. Early diagnosis and appropriate treatment are crucial for long-term survival. Dentists frequently encounter oral cancers due to the nature of their work. This study aimed to evaluate the knowledge and experience of dentists in Turkey regarding oral cancers. MATERIALS AND

methodsA total of 361 participants were included in the study, and survey questions were sent via email. The survey consisted of 16 questions measuring demographic data and knowledge about oral cancerous lesions. Participants were grouped based on their specialization and knowledge level, and differences in responses among groups were examined.

resultsOnly 21.3% of the participants felt they had sufficient knowledge and experience about oral cancerous lesions. Overall, the correct answer rates indicated a moderate level of knowledge and experience. When grouped by specialization, oral surgeons had the highest accuracy in their responses (p < 0.05).

conclusionDentists are the professional group that most frequently encounters clinically oral cancerous lesions. Therefore, it is critically important for them to be knowledgeable and experienced to reduce morbidity and mortality through early diagnosis. This study evaluated the knowledge status of dentists in Turkey regarding oral cancer and highlighted the need for improved education.

Indexed as

DentistsMouth NeoplasmsAdultClinical CompetenceFemaleHealth Knowledge, Attitudes, PracticeHumansMaleMiddle AgedMouth MucosaSurveys and QuestionnairesTurkeyDentistsKnowledgeOral cancerOral mucosal lesionsQuestionnaire

Identifiers

PMID38951844
PMCPMC11218260

What OpenQuestion holds

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LicenceCC BY
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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.