Evidence map›Paper›PMID 35116089›Full record

ReviewScanning2022

Dental Radiographic/Digital Radiography Technology along with Biological Agents in Human Identification.

Mohsen Yazdanian, Shahryar Karami, Elahe Tahmasebi, Mostafa Alam, Kamyar Abbasi, Mahdi Rahbar, Hamid Tebyaniyan, Reza Ranjbar, Alexander Seifalian, Alireza Yazdanian

Open access · hybridAbstract readReview
In one paragraph

Review in Scanning, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
39.8field-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

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 35 citations in OpenAlex.

  1. Pooled it
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  10. [Oral panorama reconstruction method based on pre-segmentation and Bezier function].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2023
    Article
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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

10 authors at 6 institutions in 2 countries.

Mohsen YazdanianResearch Center for Prevention of Oral and Dental Diseases, Baqiyatallah University of Medical Sciences, Tehran, Iran.ORCID https://orcid.org/0000-0003-0023-6606
Shahryar KaramiDepartment of Orthodontics, School of Dentistry, Tehran Medical Sciences, Islamic Azad University, Tehran, Iran.
Elahe TahmasebiResearch Center for Prevention of Oral and Dental Diseases, Baqiyatallah University of Medical Sciences, Tehran, Iran.ORCID https://orcid.org/0000-0002-1584-3735
Mostafa AlamDepartment of Oral and Maxillofacial Surgery, School of Dentistry, Shahid Beheshti University of Medical Sciences, Tehran, Iran.ORCID https://orcid.org/0000-0003-3827-9708
Kamyar AbbasiDepartment of Prosthodontics, School of Dentistry, Shahid Beheshti University of Medical Sciences, Tehran, Iran.ORCID https://orcid.org/0000-0001-8593-3632
Mahdi RahbarDepartment of Restorative Dentistry, School of Dentistry, Ardabil University of Medical Sciences, Ardabil, Iran.ORCID https://orcid.org/0000-0002-9049-8169
Hamid TebyaniyanScience and Research Branch, Islamic Azad University, Tehran, Iran.ORCID https://orcid.org/0000-0002-5647-637X
Reza RanjbarResearch Center for Prevention of Oral and Dental Diseases, Baqiyatallah University of Medical Sciences, Tehran, Iran.ORCID https://orcid.org/0000-0001-8593-1514
Alexander SeifalianNanotechnology and Regenerative Medicine Commercialization Centre (Ltd), The London Bioscience Innovation Centre, London, UK.ORCID https://orcid.org/0000-0002-8334-9376
Alireza YazdanianDepartment of Veterinary, Science and Research Branch, Islamic Azad University, Tehran, Iran.ORCID https://orcid.org/0000-0002-8975-863X
Baqiyatallah University of Medical Sciences · IRIslamic Azad University, Science and Research Branch · IRShahid Beheshti University of Medical Sciences · IRArdabil University of Medical Sciences · IRIslamic Azad University Medical Branch of Tehran · IRLondon Centre for Nanotechnology · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The heavy casualties associated with mass disasters necessitate substantial resources to be managed. The unexpectedly violent nature of such occurrences usually remains a problematic amount of victims that urgently require to be identified by a reliable and economical method. Conventional identification methods are inefficient in many cases such as plane crashes and fire accidents that have damaged the macrobiometric features such as fingerprints or faces. An appropriate recognition method for such cases should use features more resistant to destruction. Forensic dentistry provides the most appropriate available method for the successful identification of victims using careful techniques and precise data interpretation. Since bones and teeth are the most persistent parts of the demolished bodies in sudden mass disasters, scanning and radiographs are unrepeatable parts of forensic dentistry. Forensic dentistry as a scientific method of human remain identification has been considerably referred to be efficient in disasters. Forensic dentistry can be used for either "sex and age estimation," "Medical biotechnology techniques," or "identification with dental records," etc. The present review is aimed at discussing the development and implementation of forensic dentistry methods for human identification. For this object, the literature from the last decade has been searched for the innovations in forensic dentistry for human identification based on the PubMed database.

Indexed as

Biological FactorsForensic AnthropologyForensic DentistryHumansRadiographic Image EnhancementTechnologyBiological Factors

Identifiers

PMID35116089
PMCPMC8789467
OpenAlexW4206513357

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.