Evidence map›Paper›PMID 34999580›Full record

ArticleThe Journal of forensic odonto-stomatology2021

Dental identification of unknown bodies through antemortem data taken by non-dental X-rays. Case reports.

I A Bianchi, M B Focardi, R Grifoni, S Raddi, A Rizzo, B Defraia, V Pinchi

Open access · greenAbstract readCase Reports
In one paragraph

Article in The Journal of forensic odonto-stomatology, 2021. 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
1.3field-weighted citation impact, top 12% 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

4 citing papers in PubMed, 2 citations in OpenAlex.

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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

7 authors at 3 institutions in 1 country.

I A BianchiSection of Forensic Medical Sciences, Department of Health Sciences, University of Florence, Italy.
M B FocardiLegal Medicine Unit, Careggi University Hospital, Florence, Italy.
R GrifoniLegal Medicine Unit, Careggi University Hospital, Florence, Italy.
S RaddiSchool in Legal Medicine, University of Florence, Italy.
A RizzoSchool in Legal Medicine, University of Florence, Italy.
B DefraiaLegal Medicine Unit, Careggi University Hospital, Florence, Italy.
V PinchiSection of Forensic Medical Sciences, Department of Health Sciences, University of Florence, Italy.
Azienda Ospedaliero-Universitaria Careggi · ITInstitute of Legal Information Theory and Techniques · ITUniversity of Florence · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The dental radiographic comparison is one of the most reliable and scientifically accepted methods for body identification (ID). The heterogeneity between AM (ante mortem) and PM (postmortem) x-rays images continues to stand as an issue for the forensic odontologist. Casual dental findings on X-rays for investigation of other structures than teeth or maxillaries, could eventually be a relevant source of dental data for the ID especially when AM dental files or X-rays are lacking. Two cases are reported in which the body ID was achieved through the comparison of PM dental X-rays with dental images obtained by radiographies of other structures (e.g. X-rays of the skull or cervical spine). These cases highlight that these occasional dental findings might provide sufficient evidence for a body identification. In the collection of AM data of missing people, the collection of all available records and radiographies of the head, neck and chest should be carefully reviewed by forensic odontologists, seeking for any available dental data.

Indexed as

Forensic DentistryToothHumansSkullSpineX-Rays

Identifiers

PMID34999580
PMCPMC9343057
OpenAlexW4206868720

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.