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口腔癌诊断延误的科学出版物分析:22 年来的文献计量研究。

Analysis of scientific publications on oral cancer diagnosis delays: a bibliometric study over 22 years.

机构信息

Department of Health, State University of Feira de Santana Av. Transnordestina, s/n. Novo Horizonte Feira de Santana, Bahia, 44036-900, Brazil

出版信息

Med Oral Patol Oral Cir Bucal. 2024 Sep 1;29(5):e682-e689. doi: 10.4317/medoral.26719.


DOI:10.4317/medoral.26719
PMID:39088715
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11365049/
Abstract

BACKGROUND: The area of oncology still lacks bibliometric studies that investigate the diagnostic interval of oral cancer. This study proposed to carry out a bibliometric analysis of epidemiological studies that investigated the diagnosis of oral cancer between 2002 to 2024. MATERIAL AND METHODS: On April, 2024, the Scopus and Web of Science databases were explored, and the selected articles underwent bibliometric analysis of performance and scientific mapping of journals, authors, institutions, and countries, as well as the predominant topics and trends in research into the diagnosis of oral cancer through an analysis of references and co-occurrence of key words. The analyzes were carried out using the R extension package, Bibliometrix, and the VOSviewer software. RESULTS: A total of 532 documents were included. China contributed the highest number of publications (36.71%) and total citations [1,584]. Seoane J was the most prolific author [16 (h-index: 9)], while Warnakulasuriya S had the highest total link strength [282 (h-index: 7)] in co-citations. Oral Oncology was identified as the most prolific [231 (72.64%)], co-cited and impactful journal (h-index: 13). Explosions of citations were found for keywords such as "early diagnosis", "biomarker", "saliva", "precancer" and "prognosis", making it evident that in the field of oral cancer diagnosis there is room for new studies focusing in reducing the diagnostic interval, with the research hotspots being the terms "biomarkers", "imaging diagnosis" and "gene expression". CONCLUSIONS: This study provides valuable information that can help researchers and institutions align their research activities according to emerging themes, establish collaborations and allocate resources effectively.

摘要

背景:肿瘤学领域仍缺乏对口腔癌诊断间隔的计量研究。本研究旨在对 2002 年至 2024 年期间调查口腔癌诊断的流行病学研究进行计量分析。

材料和方法:2024 年 4 月,检索 Scopus 和 Web of Science 数据库,对选定的文章进行了表现的计量分析和期刊、作者、机构和国家的科学图谱绘制,以及通过分析参考文献和关键词共现对口腔癌诊断研究的主要主题和趋势进行分析。分析使用 R 扩展包 Bibliometrix 和 VOSviewer 软件进行。

结果:共纳入 532 篇文献。中国发表的文章数量最多(36.71%)和总引用次数[1584]。Seoane J 是最多产的作者[16 篇(h 指数:9)],而 Warnakulasuriya S 在共引中的总链接强度最高[282 篇(h 指数:7)]。Oral Oncology 被确定为最具影响力的期刊[231 篇(72.64%)],共被引和具有影响力(h 指数:13)。一些关键词的引用量呈爆炸式增长,如“早期诊断”、“生物标志物”、“唾液”、“癌前病变”和“预后”,这表明在口腔癌诊断领域,有新的研究空间集中在缩短诊断间隔上,研究热点是“生物标志物”、“影像诊断”和“基因表达”等术语。

结论:本研究提供了有价值的信息,可以帮助研究人员和机构根据新兴主题调整研究活动,建立合作关系,并有效地分配资源。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c2a/11365049/fb52b1048acf/medoral-29-e682-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c2a/11365049/7480972db521/medoral-29-e682-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c2a/11365049/f8faebba604c/medoral-29-e682-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c2a/11365049/b7a421effe7d/medoral-29-e682-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c2a/11365049/fb52b1048acf/medoral-29-e682-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c2a/11365049/7480972db521/medoral-29-e682-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c2a/11365049/f8faebba604c/medoral-29-e682-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c2a/11365049/b7a421effe7d/medoral-29-e682-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c2a/11365049/fb52b1048acf/medoral-29-e682-g004.jpg

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Analysis of scientific publications on oral cancer diagnosis delays: a bibliometric study over 22 years.

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本文引用的文献

[1]
A bibliometric and visualized in oral microbiota and cancer research from 2013 to 2022.

Discov Oncol. 2024-2-1

[2]
Mapping the Scientific Landscape of Bacterial Influence on Oral Cancer: A Bibliometric Analysis of the Last Decade's Medical Progress.

Curr Oncol. 2023-10-5

[3]
Bibliometric Analysis for Medical Research.

Indian J Psychol Med. 2023-5

[4]
Bibliometric Analysis of Poor Oral Health as a Risk Factor for Oral Cancer.

Cureus. 2023-3-11

[5]
Estimates and Projections of the Global Economic Cost of 29 Cancers in 204 Countries and Territories From 2020 to 2050.

JAMA Oncol. 2023-4-1

[6]
An Integrated Methodology for Bibliometric Analysis: A Case Study of Internet of Things in Healthcare Applications.

Sensors (Basel). 2022-12-21

[7]
Research Trends in the Application of Artificial Intelligence in Oncology: A Bibliometric and Network Visualization Study.

Front Biosci (Landmark Ed). 2022-8-31

[8]
Mapping trends and hotspots regarding oral carcinoma and macrophages: a bibliometric analysis of global research.

Am J Transl Res. 2022-7-15

[9]
Update from the 5th Edition of the World Health Organization Classification of Head and Neck Tumors: Tumours of the Oral Cavity and Mobile Tongue.

Head Neck Pathol. 2022-3

[10]
A brief overview of 100 best-cited papers on oral submucous fibrosis in Oral Oncology.

Oral Oncol. 2022-3

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