Evidence map›Paper›PMID 38273090›Full record

ArticleForensic science, medicine, and pathology2024

Application of the Kvaal method to CBCT reconstructed panoramic images for age estimation.

Hatice Çelik, Mehmet Ali Kılıçarslan, Hatice Boyacioglu, Burak Bilecen

Abstract read
In one paragraph

Article in Forensic science, medicine, and pathology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
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.

Hatice ÇelikForensic Sciences Institute, Ankara University, Ankara, Turkey. mavibirdenbire@hotmail.com.ORCID http://orcid.org/0000-0001-6876-5964
Mehmet Ali KılıçarslanDepartment of Prosthodontics, Faculty of Dentistry, University of Ankara, Ankara, Turkey.ORCID http://orcid.org/0000-0002-8619-957X
Hatice BoyaciogluDepartment of Dentomaxillofacial Radiology, Faculty of Dentistry, Hacettepe University, Ankara, Turkey.ORCID http://orcid.org/0000-0001-7654-5988
Burak BilecenDepartment of Anatomy, Faculty of Medicine, Ankara Medipol University, Ankara, Turkey.ORCID http://orcid.org/0000-0001-7097-1572

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As the teeth are more durable than other parts of the skeleton, they provide valuable data for age estimation. Age estimation from adult teeth is mainly based on secondary dentin production. The present study aimed to devise a regression formula for age estimation specific to the Anatolian population using the Kvaal method on CBCT reconstructed panoramic images. In total, 201 individuals aged between 20 and 69 were divided into two groups: data from the study group (n = 101) were used to create the regression formulae, and data from the control group (n = 100) were used to test the formulae. Pearson's correlation coefficients and linear regression analyses were performed. Maxillary teeth provided more accurate age estimates than mandibular teeth. The regression formulae derived in this study are found to be statistically applicable and reasonably accurate. However, these results should be interpreted with caution.

Indexed as

Age Determination by TeethCone-Beam Computed TomographyRadiography, PanoramicAdultAgedCase-Control StudiesFemaleForensic DentistryHumansLinear ModelsMaleMiddle AgedTurkeyYoung AdultAge estimationCone-beam computed tomographyForensic anthropologyKvaal methodTeeth

Identifiers

PMID38273090
PMCPMC11525252

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.