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龋病诊断研究的现状和趋势:文献计量分析。

Current Status and Trends in Research on Caries Diagnosis: A Bibliometric Analysis.

机构信息

Department of Stomatology, Universitat de Valencia, 46010 Valencia, Spain.

Gerodontology and Special Care Dentistry Unit, Morales Meseguer Hospital, Faculty of Medicine, University of Murcia, 30100 Murcia, Spain.

出版信息

Int J Environ Res Public Health. 2022 Apr 20;19(9):5011. doi: 10.3390/ijerph19095011.


DOI:10.3390/ijerph19095011
PMID:35564406
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9102117/
Abstract

There are a wide variety of devices for the detection and diagnosis of caries from the initial stages. The purpose of this study was to perform a bibliometric study on research regarding caries diagnosis by identifying the contributing researchers, organizations, countries or regions, journals, and to provide an analysis of keyword co-occurrence and co-authorship networks. An advanced search was performed in Web of Science (WOS) Core Collection database, using the terms "caries diagno*" and "caries detect*" in the "topic" field, from 2013 to 2021. Bibliometric parameters were extracted using WOS's analyze results tools and VOSviewer software. A total of 816 documents were identified. Most of them, (61.3%) are included in "Dentistry Oral Surgery & Medicine" category within WOS. The largest scientific production on the subject is observed between 2018 and 2021, with a total of 344 records. The most productive author is Mendes FM, followed by Braga MM. The journal with the most articles published on caries diagnosis is , with 55 articles (6.74%). The terms with the highest co-occurrence refer to the validity of diagnostic methods, tools or principles used in diagnosis or general aspects related to caries detection and diagnosis.

摘要

有各种各样的设备可用于从初始阶段检测和诊断龋齿。本研究旨在通过确定有贡献的研究人员、组织、国家或地区、期刊,对龋齿诊断研究进行文献计量学研究,并对关键词共现和共著网络进行分析。在 Web of Science(WOS)核心合集数据库中使用“主题”字段中的“龋齿 diagno*”和“龋齿 detect*”这两个术语,对 2013 年至 2021 年的文献进行高级搜索。使用 WOS 的“分析结果”工具和 VOSviewer 软件提取文献计量参数。共确定了 816 篇文献。其中大部分(61.3%)包含在 WOS 中的“牙科口腔外科学与医学”类别中。在 2018 年至 2021 年期间,该主题的科学研究成果最多,共记录了 344 篇。最有成果的作者是 Mendes FM,其次是 Braga MM。发表龋齿诊断相关文章最多的期刊是 ,共 55 篇(6.74%)。共现频率最高的术语涉及诊断方法、工具或原则的有效性,这些方法、工具或原则用于诊断或与龋齿检测和诊断相关的一般方面。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6fe8/9102117/f4ac4967c5e1/ijerph-19-05011-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6fe8/9102117/79abc51d84d2/ijerph-19-05011-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6fe8/9102117/9448418843db/ijerph-19-05011-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6fe8/9102117/08050a0e6f69/ijerph-19-05011-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6fe8/9102117/b29d42f6ddd8/ijerph-19-05011-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6fe8/9102117/c3445b29fe3f/ijerph-19-05011-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6fe8/9102117/0eb007e3f272/ijerph-19-05011-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6fe8/9102117/04a123eba368/ijerph-19-05011-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6fe8/9102117/f4ac4967c5e1/ijerph-19-05011-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6fe8/9102117/79abc51d84d2/ijerph-19-05011-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6fe8/9102117/9448418843db/ijerph-19-05011-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6fe8/9102117/08050a0e6f69/ijerph-19-05011-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6fe8/9102117/b29d42f6ddd8/ijerph-19-05011-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6fe8/9102117/c3445b29fe3f/ijerph-19-05011-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6fe8/9102117/0eb007e3f272/ijerph-19-05011-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6fe8/9102117/04a123eba368/ijerph-19-05011-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6fe8/9102117/f4ac4967c5e1/ijerph-19-05011-g008.jpg

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引用本文的文献

[1]
Bibliometric Analysis of Cross-Sectional Studies on Early Childhood Caries.

Healthcare (Basel). 2025-5-6

[2]
Anais Brasileiros de Dermatologia: who wrote this century-old history?

An Bras Dermatol. 2025

[3]
Trends of machine learning for dental caries research in Southeast Asia: insights from a bibliometric analysis.

F1000Res. 2024

[4]
A Bibliometric Analysis of Most Cited Papers on Vesiculobullous Oral Lesions.

J Int Soc Prev Community Dent. 2024-1-11

[5]
Caries Lesion Assessment Using 3D Virtual Models by Examiners with Different Degrees of Clinical Experience.

Medicina (Kaunas). 2023-12-13

本文引用的文献

[1]
From 'ICDAS' to 'CariesCare International': the 20-year journey building international consensus to take caries evidence into clinical practice.

Br Dent J. 2021-12

[2]
Assessment of reporting quality in randomised controlled clinical trial abstracts of dental implantology published from 2014 to 2016.

BMJ Open. 2021-8-13

[3]
Visualization of clinical teaching citations using social network analysis.

BMC Med Educ. 2021-6-16

[4]
A Bibliometric Analysis of Top 100 Cited Articles on Dental Caries during 2000-2019.

Mymensingh Med J. 2021-1

[5]
The Top 100 Most-Cited Papers in Cariology: A Bibliometric Analysis.

Caries Res. 2021

[6]
Bibliometric Analysis of Literature Published on Antibacterial Dental Adhesive from 1996-2020.

Polymers (Basel). 2020-11-29

[7]
The scholar's best friend: research trends in dog cognitive and behavioral studies.

Anim Cogn. 2021-5

[8]
Recommendations from paediatric dentistry associations of the Americas on breastfeeding and sugar consumption and oral hygiene in infants for the prevention of dental caries: A bibliometric review.

Int J Paediatr Dent. 2021-9

[9]
Current status and research trends of lithium disilicate in dentistry: A bibliometric analysis.

J Prosthet Dent. 2021-10

[10]
Antibiotics: A Bibliometric Analysis of Top 100 Classics.

Antibiotics (Basel). 2020-4-29

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