ArticleDiscover oncology2026
Bibliometric analysis of bone metastasis from prostate cancer research from 2007 to 2024.
Article in Discover oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- Global research trends in artificial intelligence-integrated robot-assisted spine surgery: a bibliometric and visualized analysis.Journal of robotic surgery · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
backgroundProstate cancer (PCa) is one of the most common cancer in men worldwide, while numerous scientific achievements have been made in research on Bone metastasis in prostate cancer (BMPCa) in recent years, a comprehensive and objective bibliometric analysis remains absent. This study aimed to elucidate the overall literature distribution and international frontier research direction of BMPCa.
methodsA comprehensive bibliometric analysis was conducted on relevant literature on BMPCa extracted from the Web of Science database from 2007 to 2024 by Microsoft Office Excel, Biblioshiny, Scimago Graphica, VOSviewer and CiteSpace. 5512 papers related to BMPCa were extracted from the Web of Science Core Collection (WoSCC). The number of publications, countries, institutions, global collaborations, authors, journals, keywords, thematic trends, and cited references were then visualized. Finally, the research status and development direction were analyzed.
resultsThis study included a total of 5512 papers on BMPCa from 2007 to 2024. There has been a steady increase in global publications ever year, peaking in 2021,and the overall publication shows a linear growth trend. USA had the highest number of publications and collaborative efforts, followed by China, England. The University of Texas MD Anderson Cancer Center published the most articles with 173, followed by University of Michigan with 120 and Memorial Sloan Kettering Cancer Center with 114. Prostate had the highest number of publications. The top three high-frequency keywords of occurrence were "prostate cancer", "bone metastasis" and "bone metastases", biblioshiny analysis of keywords shows that "arificial intelligence", "machine learning", and "ga-68"may represent the frontiers of this research area.
conclusionThe results showed that a linear growth trend in the number of publications, and the United States has made significant contributions to BMPCa both in quantity and in collaboration. International cooperation in BMPCa research needs to be further strengthened. We hope that more researchers and organizations can promote academic exchanges and strengthen cooperation to continue addressing the gaps of BMPCa. Further research should focus on the pathogenesis, early prevention, and the integration of individualized treatment with artificial intelligence, in order to improve patient survival and quality of life.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.