Evidence map›Paper›PMID 40703839›Full record

ArticleJournal of oral and maxillofacial pathology : JOMFP

Assessment of knowledge among dental practitioners regarding digital dental record platform as a forensic aid for personal identification.

Bidisha Borah, M Gowsalya, Alka D Kale, Punnya V Angadi

Abstract read
In one paragraph

Article in Journal of oral and maxillofacial pathology : JOMFP. 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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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

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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

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5 · Who and what money

Authors and funding

4 authors.

Bidisha BorahDepartment of Oral Pathology and Microbiology, VK Institute of Dental Sciences, KLE Academy of Higher Education and Research (KAHER), Belgaum, Karnataka, India.
M GowsalyaDepartment of Oral Pathology and Microbiology, VK Institute of Dental Sciences, KLE Academy of Higher Education and Research (KAHER), Belgaum, Karnataka, India.
Alka D KaleDepartment of Oral Pathology and Microbiology, VK Institute of Dental Sciences, KLE Academy of Higher Education and Research (KAHER), Belgaum, Karnataka, India.
Punnya V AngadiDepartment of Oral Pathology and Microbiology, VK Institute of Dental Sciences, KLE Academy of Higher Education and Research (KAHER), Belgaum, Karnataka, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Forensic dentistry deals with handling, examination, and evaluation of dental records, which are also required for medicolegal purpose. Digital forensic science has revolutionised the traditional forensic investigation by development of software and digital records. This results in quick identification and allows extraction of a large amount of data with less bias. As the conventional forensic procedures are tedious and time-consuming, there is a need for a digital platform that may help registration of dental records of all patients. Aim: The study aims to assess the knowledge regarding Digital Dental Record Platform as a forensic aid for personal identification among the dental practitioners. Methodology: After validation of the prepared questionnaire, it was circulated digitally as a google form and manually among dental practitioners in Belagavi city. The results obtained were tabulated and statistically analysed. Results: 94.4% respondents thought that there is a need for a centralised digital platform to maintain dental records in India and it will be useful if the Indian government links the centralised dental record database with Aadhaar (91.7%). 92.6% respondents were willing to be a part of program where dental records are updated to a centralised digital platform. Conclusion: India lacks a centralised digital platform as compared to western countries for forensic identification. Thus, there is a need for centralised digital dental record repository under Government of India which will be easily accessible for effective victim identification. A dentist plays a major role in this initiative as teeth and dental structures survive adverse conditions.

Indexed as

Digital dental recorddisaster victim identificationforensic odontologypersonal identification

Identifiers

PMID40703839
PMCPMC12283041

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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.