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Unveiling research trends in the prognosis of osteosarcoma: A bibliometric analysis from 2000 to 2022.

作者信息

Yin Chengliang, Chokkakula Santosh, Li Jie, Li Wenle, Yang Weiguang, Chong Siomui, Zhou Wenzheng, Wu Haiyang, Wang Chengbin

机构信息

Faculty of Medicine, Macau University of Science and Technology, Macau, China.

Department of Microbiology, Chungbuk National University College of Medicine and Medical Research Institute, Cheongju, Chungbuk, South Korea.

出版信息

Heliyon. 2024 Mar 7;10(6):e27566. doi: 10.1016/j.heliyon.2024.e27566. eCollection 2024 Mar 30.


DOI:10.1016/j.heliyon.2024.e27566
PMID:38515706
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10955242/
Abstract

BACKGROUND: Osteosarcoma (OSA) is the most prevalent form of malignant bone tumor in children and adolescents, producing osteoid and immature bone. Numerous high quality studies have been published in the OSA field, however, no bibliometric study related to this area has been reported thus far. Therefore, the present study retrieved the published data from 2000 to 2022 to reveal the dynamics, development trends, hotspots and future directions of the OSA. METHODS: Publications regard to osteogenic sarcoma and prognosis were searched in the core collection on Web of Science database. The retrieved publications were analyzed by publication years, journals, categories, countries, citations, institutions, authors, keywords and clusters using the two widely available bibliometric visualization tools, VOS viewer (Version 1.6.16), Citespace (Version 6.2. R1). RESULTS: A total of 6260 publications related to the current topic were retrieved and analyzed, revealing exponential increase in the number of publications with an improvement in the citations on the OSA over time, in which China and the USA are the most productive nations. Shanghai Jiao Tong University, University of Texas System and Harvard University are prolific institutions, having highest collaboration network. Oncology Letters and Journal of Clinical Oncology are the most productive and the most cited journals respectively. The Wang Y is a prominent author and articles published by Bacci G had the highest number of citations indicating their significant impact in the field. According to keywords analysis, osteosarcoma, expression and metastasis were the most apparent keywords whereas the current research hotspots are biomarker, tumor microenvironment, immunotherapy and DNA methylation. CONCLUSION: Our findings offer valuable information for researchers to understand the current research status and the necessity of future research to mitigate the mortality of the OS patients.

摘要
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9e81/10955242/b82580d8a1dc/gr14.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9e81/10955242/aa757b0849da/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9e81/10955242/3ecab9b1069c/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9e81/10955242/300f28cef9d2/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9e81/10955242/681b75a734df/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9e81/10955242/cb6ba0e5e364/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9e81/10955242/6e1d822678b5/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9e81/10955242/411ccb7a4ebc/gr7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9e81/10955242/83598dfbdc26/gr8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9e81/10955242/2e00540190fd/gr9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9e81/10955242/c91d9d4343e4/gr10.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9e81/10955242/b189a326487e/gr11.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9e81/10955242/6775f4e6f233/gr12.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9e81/10955242/e08d0c6d14d5/gr13.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9e81/10955242/b82580d8a1dc/gr14.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9e81/10955242/aa757b0849da/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9e81/10955242/3ecab9b1069c/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9e81/10955242/300f28cef9d2/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9e81/10955242/681b75a734df/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9e81/10955242/cb6ba0e5e364/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9e81/10955242/6e1d822678b5/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9e81/10955242/411ccb7a4ebc/gr7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9e81/10955242/83598dfbdc26/gr8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9e81/10955242/2e00540190fd/gr9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9e81/10955242/c91d9d4343e4/gr10.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9e81/10955242/b189a326487e/gr11.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9e81/10955242/6775f4e6f233/gr12.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9e81/10955242/e08d0c6d14d5/gr13.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9e81/10955242/b82580d8a1dc/gr14.jpg

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Unveiling research trends in the prognosis of osteosarcoma: A bibliometric analysis from 2000 to 2022.

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Ann Surg Oncol. 2025-8-18

[2]
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J Exp Clin Cancer Res. 2025-7-11

[3]
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Cancer Biol Ther. 2025-12

[4]
Trends of publications on primary sarcomas of bone: A bibliometric analysis.

J Clin Orthop Trauma. 2025-1-13

[5]
Bibliometric analysis and visualisation of research hotspots and frontiers on omics in osteosarcoma.

J Cancer Res Clin Oncol. 2024-8-22

本文引用的文献

[1]
Orthopedic approaches for bone sarcoma: A bibliometric review of the 50 most cited papers.

J Orthop. 2023-3-9

[2]
Studies related to osteosarcoma and metabolism from 1990 to 2022: A visual analysis and bibliometric study.

Front Endocrinol (Lausanne). 2023

[3]
TP53 in Biology and Treatment of Osteosarcoma.

Cancers (Basel). 2021-8-25

[4]
PODN is a prognostic biomarker and correlated with immune infiltrates in osteosarcoma.

Cancer Cell Int. 2021-7-17

[5]
Advancing therapy for osteosarcoma.

Nat Rev Clin Oncol. 2021-10

[6]
A 10-year bibliometric analysis of osteosarcoma and cure from 2010 to 2019.

BMC Cancer. 2021-2-4

[7]
Use of AMSTAR-2 in the methodological assessment of systematic reviews: protocol for a methodological study.

Ann Transl Med. 2020-5

[8]
Publications on the Association Between Cognitive Function and Pain from 2000 to 2018: A Bibliometric Analysis Using CiteSpace.

Med Sci Monit. 2019-11-25

[9]
Identification of key genes in osteosarcoma by meta‑analysis of gene expression microarray.

Mol Med Rep. 2019-7-31

[10]
Comprehensive analysis of prognostic immune-related genes in the tumor microenvironment of cutaneous melanoma.

J Cell Physiol. 2019-6-25

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