Evidence map›Paper›PMID 35701536›Full record

ArticleInternational journal of legal medicine2022

Quantifying the potential of morphological parameters for human dental identification: part 2-selecting the strongest identifiers in mandibular permanent teeth.

Yea Lee Shu, Jannick De Tobel, Chen Jun, Steffen Fieuws, Patrick W Thevissen

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In one paragraph

Article in International journal of legal medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.4field-weighted citation impact, top 42% 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

0 citing papers in PubMed, 2 citations in OpenAlex.

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

5 authors at 3 institutions in 1 country.

Yea Lee ShuImaging and Pathology - Forensic Odontology, KU Leuven, Kapucijnenvoer 7 blok A bus 7001, 3000, Louvain, Belgium. yealee_shu@hotmail.com.ORCID http://orcid.org/0000-0001-5530-451X
Jannick De TobelDiagnostic Sciences - Radiology, Ghent University, Corneel Heymanslaan 10, 9000, Ghent, Belgium.ORCID https://orcid.org/0000-0002-8846-7339
Chen JunImaging and Pathology - Forensic Odontology, KU Leuven, Kapucijnenvoer 7 blok A bus 7001, 3000, Louvain, Belgium.
Steffen FieuwsI-Biostat, Kapucijnenvoer 35- blok D, 3000, Louvain, Belgium.ORCID https://orcid.org/0000-0002-6875-8366
Patrick W ThevissenImaging and Pathology - Forensic Odontology, KU Leuven, Kapucijnenvoer 7 blok A bus 7001, 3000, Louvain, Belgium.ORCID https://orcid.org/0000-0003-0890-6264
KU Leuven · BEGhent University Hospital · BEUCLouvain · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The current study aimed to select the best dental morphological identifiers for human identification. Sixty-two panoramic radiographs were collected retrospectively, in which six measurements were performed on all seven mandibular left permanent teeth: tooth length (TL), crown length (CL), root length (RL), crown width (CW), cervical width (CEJW), and root width (RW). Nine length-width ratios were then calculated using these measurements. Three groups of statistics were considered: (1) inter-observer reliability quantified by intra-class correlation (ICC); (2) mean "potential set"; and (3) Spearman correlation. A step-by-step cascade was then established based on selected parameters. In a univariate approach, the following parameters were the best identifiers: TL/CW for tooth 36 (ICC 0.82; mean potential set 13.7%), TL/CEJW for tooth 35 (ICC 0.87; mean potential set 15.2%), and TL/RW for tooth 32 (ICC 0.89; mean potential set 16.0%). The correlations between these three parameters ranged from 0.24 to 0.47. In a multivariate approach, the following parameters had the best identifying capacity: all parameters combined for tooth 31 (mean potential set 8.1%), for tooth 35 (mean potential set 11.9%), and for tooth 32 (mean potential set 16.3%). In conclusion, a single ratio in a specific tooth narrows down the potential set of matches, but the mean potential set remains relatively large. Combining all ratios of a single specific tooth increases the certainty of the match. In particular, tooth 31 was the strongest identifier.

Indexed as

Dentition, PermanentMolar, ThirdHumansRadiography, PanoramicReproducibility of ResultsRetrospective StudiesForensic odontologyHuman identificationIdentifiersPanoramic radiographTooth dimensions

Identifiers

PMID35701536
OpenAlexW4282943378

What OpenQuestion holds

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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.