Evidence map›Paper›PMID 42324441›Full record

ArticleJournal of robotic surgery2026

Global Research Trends and Thematic Evolution in Robotic Surgery for Obstructive Sleep Apnoea: A Bibliometric and Visualisation Study.

Haoran Guo, Ruixing Wan, Qingqing Qin, Xin Wang, Yu He

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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.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Haoran GuoThe First Clinical Medical College of Lanzhou University, Lanzhou, 730000, China.
Ruixing WanFirst Hospital of Lanzhou University, Lanzhou, 730000, China.
Qingqing QinThe First Clinical Medical College of Lanzhou University, Lanzhou, 730000, China.
Xin WangFirst Hospital of Lanzhou University, Lanzhou, 730000, China.
Yu HeDepartment of Sleep and Respiratory Medicine, Gansu Provincial People's Hospital, Lanzhou, 730000, China. HY123ZHB@126.com.

Funding

2024 Gansu Provincial Joint Research Fund General Project 24JRRG0192024 Zhangye Municipal Science and Technology Programme Project ZY2024JS29Gansu Province Health and Wellness Industry Scientific Research Project GSWSKY2025-26Gansu Provincial People's Hospital In-hospital Research Fund Project 24GSSYD-16National Natural Science Foundation of China 81960398
6 · The paper itself

Abstract

To systematically identify research trends, collaborative patterns, thematic developments and emerging areas of interest in the field of robotic surgery for the treatment of obstructive sleep apnoea (OSA) worldwide, thereby providing an evidence-based foundation for optimising clinical decision-making and formulating research strategies. Using the Web of Science Core Collection database, we retrieved relevant literature on robotic surgery for the treatment of OSA from 2003 to 2026. After deduplication and screening, the data were imported into software such as CiteSpace 7.0 and Origin 2021. We conducted bibliometric and visualisation analyses from multiple dimensions, including publication trends, collaboration networks among countries, institutions and authors, co-occurrence clustering and outlier detection of keywords, and outlier detection of co-cited publications. A total of 167 valid studies were included. The accumulation of domain knowledge exhibited an exponential growth trend (R² = 0.9826), evolving through three distinct phases: an embryonic phase (2003-2011), a rapid growth phase (2012-2016) and a fluctuating stabilisation phase (2017-2026). At the national level, an unbalanced pattern emerged with the United States (63 papers) and Italy (35 papers) as dual cores; the United Kingdom exhibited the highest intermediary centrality (0.69), playing a pivotal linking role in global knowledge flows; at the institutional level, the University of Michigan system and Imperial College London served as core institutions; At the author level, Vicini C and Cammaroto G serve as dual cores, with a network density of 0.3162, forming a highly cohesive niche academic community. Keyword clustering identified nine themes, which can be categorised into four major research dimensions: core procedures (oral robotic surgery, base of tongue and lingual tonsil surgery), precise assessment (drug-induced sleep endoscopy), functional prognosis (voice quality, vital signs monitoring), and cross-applications in head and neck oncology. Detection of prominent terms indicates that the research paradigm is shifting from the early phase of technical feasibility verification and procedural expansion towards a stage of precise integrated perioperative management, characterised by the terms 'management' and 'obstructive sleep apnoea'. Citation analysis reveals that the series of papers published by Vicini C between 2010 and 2014 constitute the core knowledge base of the field, whilst recent high-impact publications by Baptista PM, Lechien JR and others indicate that the current research frontier has shifted towards individualised surgical selection, functional prognosis assessment and multidisciplinary management. The focus of research into robotic surgery for OSA is gradually shifting from proof-of-concept studies towards precision treatment. Future research will concentrate on transoral robotic surgery assisted by artificial intelligence and augmented reality navigation; the expansion of indications to include children and special populations; multi-level combined airway reconstruction; comparative efficacy studies between robotic surgery and neurostimulation techniques; and health economic evaluations based on real-world evidence. This study systematically maps the knowledge landscape and evolutionary trajectory of this field, providing a directional reference for subsequent clinical translation, the optimisation of international collaboration networks, and multidisciplinary cooperation.

Indexed as

BibliometricsRobotic Surgical ProceduresSleep Apnea, ObstructiveHumansbibliometricsCiteSpaceObstructive sleep apnoearesearch trendsrobotic surgeryvisualisation analysis

Identifiers

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Registered trials

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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.