Evidence map›Paper›PMID 38882891›Full record

ArticleJournal of pharmacy & bioallied sciences2024

Knowledge, Attitude, and Practice of the Interns About Exfoliative Cytology in a Tertiary Care Dental Hospital in Bhubaneswar City: A Questionnaire-Based Survey.

Sankha S Chakraborty, S Bhuvaneshwari, Balaji Manohar, Yashshwini Shroff, Niva Mahapatra, Awneet Kaur

Abstract read
In one paragraph

Article in Journal of pharmacy & bioallied sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

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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

6 authors.

Sankha S ChakrabortyIntern, Department of Oral Medicine, Diagnosis and Radiology, Kalinga Institute of Dental Sciences, KIIT Deemed to be University, Bhubaneswar, Odisha, India.
S BhuvaneshwariDepartment of Oral Medicine, Diagnosis and Radiology, Kalinga Institute of Dental Sciences, KIIT Deemed to be University, Bhubaneswar, Odisha, India.
Balaji ManoharDepartment of Periodontology, Kalinga Institute of Dental Sciences, KIIT Deemed to be University, Bhubaneswar, Odisha, India.
Yashshwini ShroffDepartment of Paediatrics, Kalinga Institute of Dental Sciences, KIIT Deemed to be University, Bhubaneswar, Odisha, India.
Niva MahapatraDepartment of Oral Pathology and Microbiology, Kalinga Institute of Dental Sciences, KIIT Deemed to be University, Bhubaneswar, Odisha, India.
Awneet KaurPrivate Practioner, Smile Studio and Dental Care, Bangalore, Karnataka, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The most significant accomplishment of dentists is the early detection of oral dysplasia or the rapid diagnosis of potentially malignant lesions. An additional test that assists in the diagnosis of numerous oral illnesses is exfoliative cytology. This study was conducted among dental professionals in the city of Bhubaneswar to assess their exfoliative cytology knowledge, attitudes, and practices. Fifty-eight dental interns participated in a cross-sectional, descriptive, Web-based questionnaire study. The findings reveal that while some interns were knowledgeable about some components of exfoliative cytology in oral cancer (OC) screening, they lacked a thorough understanding of other crucial elements. To enhance early diagnosis and lessen the prevalence of OC, it is critical that dental practitioners increase their understanding of and use of exfoliative cytology. To address the misconcepts found in the study, it draws attention to the necessity of patient education and public awareness campaigns. The study recommends more awareness and education among dental practitioners and emphasizes the need of tackling OC through preventive measures and appropriate diagnostic techniques such as exfoliative cytology.

Indexed as

Cytodysplasiaexfoliative

Identifiers

PMID38882891
PMCPMC11174242

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LicenceCC BY-NC-SA
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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.