Literature DB >> 33541299

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

Wacili Da1, Zhengbo Tao1, Yan Meng1, Kaicheng Wen1, Siming Zhou1, Keda Yang1, Lin Tao2.   

Abstract

BACKGROUND: In recent decades, the 5-year survival rate of osteosarcoma remains poor, despite the variety of operations, and exploration of drug therapy has become the key to improvement. This study investigates the contribution of different aspects in osteosarcoma and cure, and predicts research hotspots to benefit future clinical outcomes.
METHODS: The Web of Science and PubMed databases were queried to collect all relevant publications related to osteosarcoma and cure from 2009 to 2019. These data were imported into CiteSpace and the Online Analysis Platform of Literature Metrology for bibliometric analysis. Bi-clustering was performed on Bibliographic Item co-occurrence Matrix Builder (BICOMB) and gCLUTO to identify hotspots. Additionally, completed clinical trials on osteosarcoma with results past phase II were collated.
RESULTS: A total of 2258 publications were identified in osteosarcoma and cure from 2009 to 2019. China has the largest number of publications (38.49%), followed by the United States (23.03%) with the greatest impact (centrality = 0.44). The centrality of most institutions is < 0.1, and Central South University and Texas MD Anderson Cancer Center possess the highest average citation rates of 3.25 and 2.87. BMC cancer has the highest average citation rate of 3.26 in 772 journals. Four authors (Picci P, Gorlick R, Bielack SS and Bacci G) made the best contributions. We also identified eight hotspots and collected 41 clinical trials related to drug research on osteosarcoma.
CONCLUSIONS: The urgent need exists to strengthen global academic exchanges. Overcoming multidrug resistance in osteosarcoma is the focus of past, present and future investigations. Transformation of the metastasis pattern, microenvironment genetics mechanism, alternative methods of systemic chemotherapy and exploration of traditional Chinese medicine is expected to contribute to a new upsurge of research.

Entities:  

Keywords:  Bibliometric analysis; Co-word biclustering analysis; Cure; Hotspots; Osteosarcoma

Mesh:

Year:  2021        PMID: 33541299      PMCID: PMC7863524          DOI: 10.1186/s12885-021-07818-4

Source DB:  PubMed          Journal:  BMC Cancer        ISSN: 1471-2407            Impact factor:   4.430


  48 in total

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Review 7.  Osteosarcoma: Current Treatment and a Collaborative Pathway to Success.

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Review 9.  Present Advances and Future Perspectives of Molecular Targeted Therapy for Osteosarcoma.

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Journal:  Oncotarget       Date:  2016-07-12
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  8 in total

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