ArticleDigital health
Global trends in the application of digital technology in jaw reconstruction: A bibliometric and visualization analysis.
Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: The application of digital technology in jaw reconstruction is clinically significant as it enhances surgical precision and patient outcomes. This study aimed to conduct a comprehensive bibliometric analysis to explore global research trends, hotspots, and future directions in the application of digital technology for jaw reconstruction. Methods: This study employs a bibliometric analysis design, utilizing a retrospective approach. The data were sourced from the Web of Science Core Collection (WoSCC) database, focusing on publications related to digital technology in jaw reconstruction from 1995 to 2024. The final sample includes 1069 articles authored by 4781 authors from 3081 institutions. Data analyses were conducted using VOSviewer, CiteSpace, and the R package "Bibliometrix." Results: The analysis revealed a total of 1069 articles, with publication trends showing a peak in 2022. China produced the most articles, while the United States led in citations. The most productive institutions were based in Italy, Germany, and China, and key contributing authors included Marchetti Claudio and Ciocca Leonardo. Conclusion: This bibliometric analysis examined the global research landscape on digital technology in jaw reconstruction, identifying key developments such as rapid prototyping, virtual surgical planning, and 3D printing. Future research should focus on integrating these technologies into clinical workflows, reducing costs, improving training, and addressing regulatory challenges.
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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.