Evidence map›Paper›PMID 34762520›Full record

ArticleDento maxillo facial radiology2022

Three-dimensional verification of the radiographic visibility of the root pulp used for forensic age estimation in mandibular third molars.

Dilara Nil Gunacar, Seval Bayrak, Enver Alper Sinanoglu

Open access · bronzeAbstract read
In one paragraph

Article in Dento maxillo facial radiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
11.3field-weighted citation impact, top 2% 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

3 citing papers in PubMed, 13 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

3 authors at 3 institutions in 1 country.

Dilara Nil GunacarDepartment of Oral and Maxillofacial Radiology, Faculty of Dentistry, Recep Tayyip Erdogan University, Rize, Turkey.
Seval BayrakDepartment of Oral and Maxillofacial Radiology, Faculty of Dentistry, Bolu Abant İzzet Baysal University, Bolu, Turkey.
Enver Alper SinanogluDepartment of Oral and Maxillofacial Radiology, Faculty of Dentistry, Kocaeli University, Kocaeli, Turkey.
Bolu Abant İzzet Baysal University · TRKocaeli Üniversitesi · TRRecep Tayyip Erdoğan University · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe aim of this study was to assess the reliability of panoramic radiography (OPG) using age estimation method using cone beam computed tomography (CBCT) verification in the evaluation of radiographic visibility of root pulp (RPV) of mandibular third molars for age estimation.

methodsCBCT and OPG images of 429 mandibular third molars from 290 patients were evaluated. RPV of fully mineralized mandibular third molars was evaluated as stages 0, 1, 2, and 3 for both imaging methods. Descriptive statistics were performed separately for stages by age for both genders. The consistency of these scores with chronological age was evaluated for both imaging methods. The reliability of OPG evaluation was also analyzed with CBCT scores.

conclusionIn conclusion, the absence of Stage 3 at age of 18 and under might have a forensic value for RPV age estimation method. Considering the fair agreement in the verification of OPG scores, it is not possible to determine the exact age with the RPV detected in OPG images, the use of CBCT for the RPV evaluation is recommended to available cases.

Indexed as

Age Determination by TeethMolar, ThirdCone-Beam Computed TomographyFemaleHumansMaleMandibleRadiography, PanoramicReproducibility of ResultsTooth Rootcone-beam computed tomographydental pulpforensic dentistryforensic sciencespanoramic radiographythird molar

Identifiers

PMID34762520
PMCPMC8925871
OpenAlexW3211525318

What OpenQuestion holds

Textmetadata
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Registered trials

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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.