ArticleJournal of thoracic disease2025
The evolution of airway stenting research: a bibliometric analysis of the 100 most influential articles.
Article in Journal of thoracic disease, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.
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, 1 synthesis or guideline pooled it.
- Prostate cancer research on social media platforms: a bibliometric and thematic analysis.Frontiers in oncology · 2026Pooled it
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Airway stents are indispensable tools in interventional pulmonology for treating central airway obstruction. From early silicone stents to today's biodegradable and three-dimensional (3D)-printed devices, design advances have broadened clinical applications. Nonetheless, migration, granulation, and infection remain frequent complications, which justifies continued investigation. This study conducts a bibliometric analysis of airway stent research. It examined the 100 most-cited articles and examined publication trends, leading contributors, collaboration and co-citation networks, and keyword evolution to map the field's development. Methods: We searched the Web of Science Core Collection [2009-2025] for English-language articles on "airway stents", identifying 1,150 records. The 100 most-cited articles were selected for analysis. We evaluated publication output over time, national and institutional contributions, authorship patterns, co-citation clusters, and keyword co-occurrence. Results: Annual output peaked in 2010, remained steady throughout the 2010s, and declined during 2020-2022, likely due to pandemic-related disruptions. The United States produced the most highly cited papers (n=28), followed by China (n=19) and the leading European nations (~11 each). Harvard University generated the highest number of influential papers. A small group of prolific authors (e.g., Hervé Dutau, Armin Ernst) produced numerous high-impact studies and formed tight collaborative clusters that bridged North America and Europe. Co-citation analysis highlighted classic references-particularly Saad [2003] and Dumon [1990]-as central hubs linking diverse studies. Keyword evolution showed a transition from early interests in airway obstruction and silicone stents to recent priorities such as 3D-printed, biodegradable, and drug-eluting stents. This shift marks the field's movement from simple palliation toward advanced, patient-specific airway reconstruction. Conclusions: This bibliometric study provides a comprehensive overview of three decades of airway stenting research. It shows how global collaboration and technological innovation have propelled the field forward. Our findings highlight achievements and remaining gaps. They underscore the need for multicenter collaboration, long-term outcome studies, and continued development of novel stent technologies to improve patient care.
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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.