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      A bibliometric analysis of literatures on uterine leiomyosarcoma in the last 20 years

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          Abstract

          Background

          Uterine leiomyosarcoma(uLMS) is a rare malignant tumor with low clinical specificity and poor prognosis.There are many studies related to uLMS, however, there is still a lack of metrological analyses with generalization. This study provides a bibliometric study of uLMS.

          Methods and materials

          We chose the Web of Science (WoS) as our main database due to its extensive interdisciplinary coverage. We specifically focused on the literature from the last 20 years to ensure relevance and practicality. By utilizing the WOS core dataset and leveraging the R package “bibliometric version 4.1.0” and Citespace, we performed a comprehensive bibliometric analysis. This allowed us to pinpoint research hotspots and create visual representations, resulting in the retrieval of 2489 pertinent articles.

          Results

          This literature review covers 2489 articles on uterine leiomyosarcoma (uLMS) from the past 20 years. Key findings include an average annual publication rate of 8.75, with a 6.07% yearly growth rate and an average citation count of 17.22. Core+Zone 2 sources contributed 1079 articles and 207 reviews, displaying a 4.98% annual growth rate. The analysis identified top journals, influential authors, and core sources, such as the prevalence of publications from the United States and the dominance of GYNECOLOGIC ONCOLOGY and HENSLEY ML. Bradford’s Law and Lotka’s Law highlighted core sources and author productivity, respectively. Thematic mapping and factorial analysis revealed research clusters, including etiology, diagnosis, treatment advancements, and surgical approaches, with prominent themes such as gemcitabine and docetaxel. Overall, this comprehensive analysis provides insights into uLMS literature trends and influential factors.

          Conclusion

          This thorough bibliometric analysis, in its whole, illuminates the field’s guiding principles while also revealing the subtle patterns within the uLMS literature. The knowledge gained here contributes to the current discussion in uLMS and related scientific fields and provides a solid basis for future research paths.

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          Most cited references90

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          bibliometrix : An R-tool for comprehensive science mapping analysis

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            How to build and interpret a nomogram for cancer prognosis.

            Nomograms are widely used for cancer prognosis, primarily because of their ability to reduce statistical predictive models into a single numerical estimate of the probability of an event, such as death or recurrence, that is tailored to the profile of an individual patient. User-friendly graphical interfaces for generating these estimates facilitate the use of nomograms during clinical encounters to inform clinical decision making. However, the statistical underpinnings of these models require careful scrutiny, and the degree of uncertainty surrounding the point estimates requires attention. This guide provides a nonstatistical audience with a methodological approach for building, interpreting, and using nomograms to estimate cancer prognosis or other health outcomes.
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              Comparison of PubMed, Scopus, Web of Science, and Google Scholar: strengths and weaknesses.

              The evolution of the electronic age has led to the development of numerous medical databases on the World Wide Web, offering search facilities on a particular subject and the ability to perform citation analysis. We compared the content coverage and practical utility of PubMed, Scopus, Web of Science, and Google Scholar. The official Web pages of the databases were used to extract information on the range of journals covered, search facilities and restrictions, and update frequency. We used the example of a keyword search to evaluate the usefulness of these databases in biomedical information retrieval and a specific published article to evaluate their utility in performing citation analysis. All databases were practical in use and offered numerous search facilities. PubMed and Google Scholar are accessed for free. The keyword search with PubMed offers optimal update frequency and includes online early articles; other databases can rate articles by number of citations, as an index of importance. For citation analysis, Scopus offers about 20% more coverage than Web of Science, whereas Google Scholar offers results of inconsistent accuracy. PubMed remains an optimal tool in biomedical electronic research. Scopus covers a wider journal range, of help both in keyword searching and citation analysis, but it is currently limited to recent articles (published after 1995) compared with Web of Science. Google Scholar, as for the Web in general, can help in the retrieval of even the most obscure information but its use is marred by inadequate, less often updated, citation information.
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                Author and article information

                Contributors
                URI : https://loop.frontiersin.org/people/2575100Role: Role: Role: Role:
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                Journal
                Front Oncol
                Front Oncol
                Front. Oncol.
                Frontiers in Oncology
                Frontiers Media S.A.
                2234-943X
                12 February 2024
                2024
                : 14
                : 1343533
                Affiliations
                [1] 1 Department of Gynecology, Shenzhen Second People’s Hospital/The First Affiliated Hospital of Shenzhen University Health Science Center , Shenzhen, Guangdong, China
                [2] 2 College of Medicine, Shantou University , Shantou, Guangdong, China
                Author notes

                Edited by: Mingwei Lin, Fujian Normal University, China

                Reviewed by: Dejian Yu, Nanjing Audit University, China

                Meihui Zhong, Fujian Normal University, China

                *Correspondence: Zhiying Yu, lizheyzy@ 123456163.com

                †These authors have contributed equally to this work

                Article
                10.3389/fonc.2024.1343533
                10894944
                38410101
                d34ac128-6040-4b13-bc76-25f18077fc05
                Copyright © 2024 Huang, Chen, Li, Chen, Huang, Zhu, Han, Zheng, Chen and Yu

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 23 November 2023
                : 25 January 2024
                Page count
                Figures: 10, Tables: 0, Equations: 0, References: 91, Pages: 16, Words: 8841
                Funding
                Funded by: National Key Research and Development Program of China , doi 10.13039/501100012166;
                Award ID: 2022YFC2704102
                Funded by: Sanming Project of Medicine in Shenzen Municipality , doi 10.13039/501100012151;
                Award ID: SZSM202311013
                The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This study was supported by grants from the National Key Research and Development Program of China (2022YFC2704102), Sanming Project of Medicine in Shenzhen (SZSM202311013), Shenzhen Science and Technology Innovation Committee (JCYJ20210324102806018).
                Categories
                Oncology
                Original Research
                Custom metadata
                Gynecological Oncology

                Oncology & Radiotherapy
                uterine leiomyosarcoma,bibliometric analysis,gynecologic malignance,top relavant keywords,trend topic

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