Evidence map›Paper›PMID 31894133›Full record

ArticleThe Journal of forensic odonto-stomatology2019

Digital tooth reconstruction: An innovative approach in forensic odontology.

A Johnson, G Jani, A Pandey, N Patel

Open access · greenAbstract read
In one paragraph

Article in The Journal of forensic odonto-stomatology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
23.4field-weighted citation impact, top 1% of its field
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

6 citing papers in PubMed, 18 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. [Use of diagnostic modalities for dentofacial imaging in forensic dentistry. Literature review].Revista cientifica odontologica (Universidad Cientifica del Sur)
    Review
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 at 1 institution in 1 country.

A JohnsonLaboratory of Forensic Odontology, Institute of Forensic Science, Gujarat Forensic Sciences University, Gujarat, India.
G JaniLaboratory of Forensic Odontology, Institute of Forensic Science, Gujarat Forensic Sciences University, Gujarat, India.
A PandeyInstitute of Forensic Science, Gujarat Forensic Sciences University, Gujarat, India.
N PatelDepartment of Oral Medicine & Radiology, Goenka Research Institute of Dental Science, Gujarat, India.
National Forensic Sciences University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In mass disasters, accidents and crime investigations, where human remains are decomposed, charred or skeletonized, teeth may dislodge due to post-mortem loss or due to mishandling of evidence during the manipulation of skeletal and dental remains. Thus, the identification process is hampered due to the loss of dental evidence. In these situations, forensic tooth reconstruction may aid in the identification process. Forensic tooth reconstruction (FTR) refers to the process that aims to reconstruct the morphology of the missing tooth from the skeletal remains from the intra-alveolar morphology of the dental socket. The study is an innovative attempt to develop a digital approach to reconstruct three-dimensional (3D) printed tooth models through recording intra-alveolar morphology of empty dental sockets which simulate the teeth which are missing post-mortem. An experimental study was conducted on the human mandible, where using volumetric scanning, 3D scanning and printing techniques the tooth was reconstructed from the intra-alveolar morphology of the socket. Through metric analysis and qualitative congruency testing it was established that there was minimal discrepancy between natural tooth and 3D printed tooth. It was determined that teeth missing post-mortem do not necessarily invalidate the identification process. Digital FTR gives accurate results with minimum error.

Indexed as

ToothTooth LossForensic DentistryHumansMandible

Identifiers

PMID31894133
PMCPMC7442960
OpenAlexW3003366639

What OpenQuestion holds

Textmetadata
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.