ArticleJournal of robotic surgery2026
Advancing paediatric robotic surgery: building the foundation with databases.
Article in Journal of robotic surgery, 2026. 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
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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
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This study explores implementation of robotic surgery in children emphasising the critical role of data informatics. Development of purpose-built multi-centre databases and collaborative prospective studies will facilitate ongoing expansion, establishment of a robust evidence-base, and ultimately enhance surgical outcomes.This study explores implementation of robotic surgery in children emphasising the critical role of data informatics. Development of purpose-built multi-centre databases and collaborative prospective studies will facilitate ongoing expansion, establishment of a robust evidence-base, and ultimately enhance surgical outcomes. To explore the integration of evidence-based medicine (EBM) in guiding the expansion of paediatric robotic surgery and the establishment of robust clinical databases for informed practice. We conducted interviews with leading experts in paediatric robotic surgery-Prof. Thomas Blanc, Prof. Mohan Gundeti, and Prof. Craig Peters. Their insights were synthesised to develop a database framework, which will serve dual purposes: quality assurance and facilitating research initiatives. Various data management platforms were evaluated, including Microsoft Excel, Research Electronic Data Capture (REDCap), as well as custom-built solutions, each demonstrating distinct advantages in usability, accessibility, security, and cost-effectiveness. Data points were identified through review of extensive clinical experience, collaborative brainstorming sessions and forward-thinking strategies. Based on expert consultation, a suggested REDCap database was developed for future use. The interviewed experts unanimously emphasised the importance of dedicated personnel and shared objectives in ensuring the future-proofing, sustainability and overall effectiveness of clinical research databases. This study highlights the imperative for interdisciplinary collaboration and institution of data informatics at the point of establishment of paediatric robotic programs.
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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.