Evidence map›Paper›PMID 42306657›Full record

ArticleJournal of thoracic disease2026

Bibliometric and visualization analysis of non-intubated thoracic anaesthesia [2014-2025].

Yu Che, Lei Chen, Shenghua Yi, Mochi Guo, Jiaqi Liu, Yulong Wang

Abstract read
In one paragraph

Article in Journal of thoracic disease, 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

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.

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

6 authors.

Yu Che *Department of Anaesthesiology, Shaoxing People's Hospital, Shaoxing, China.
Lei Chen *Department of Anaesthesiology, Affiliated Cancer Hospital and Institute of Guangzhou Medical University, Guangzhou, China.
Shenghua YiDepartment of Anaesthesiology, Shaoxing People's Hospital, Shaoxing, China.
Mochi GuoDepartment of Anaesthesiology, Shaoxing People's Hospital, Shaoxing, China.
Jiaqi LiuDepartment of Anaesthesiology, Shaoxing People's Hospital, Shaoxing, China.
Yulong WangDepartment of Anaesthesiology, Shaoxing People's Hospital, Shaoxing, China.ORCID https://orcid.org/0009-0008-7392-9060

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Non-intubated thoracic anaesthesia (NITA) is an emerging anaesthetic approach that integrates spontaneous breathing general anaesthesia with regional blockade. By avoiding tracheal intubation, NITA effectively reduces anaesthesia-related complications and significantly curtails anaesthetic consumption. Evidence indicates that this technique lowers the incidence of postoperative pulmonary complications, facilitates immediate airway clearance, permits early ambulation, improves early postoperative comfort, and shortens hospital stay, thereby accelerating patient recovery. The growing adoption of video-assisted thoracoscopic surgery (VATS) has heightened interest in NITA across various thoracic procedures. This bibliometric study aims to systematically map the global research landscape, identify hotspots, and delineate evolutionary trends of NITA literature from 2014 to 2025. Methods: This study applies bibliometric and visualisation methods to systematically map the NITA literature indexed in the Web of Science Core Collection (WOSCC) from January 2014 to June 2025. Relevant articles were retrieved and screened to identify research hotspots, trends, and principal findings. Data processing, network mapping, and graphical presentation were carried out with VOSviewer, CiteSpace, Scimago Graphica, and Excel 365. Results: The bibliometric dataset comprised 141 articles published between January 2014 and June 2025. Annual output rose steadily from 2014, peaked in 2022, and then declined in 2023-2024. Collaborative-network indicators placed China first in both publication count and total citations. The Conclusions: This study presents the first comprehensive bibliometric visualisation of NITA research, providing an intuitive overview of its hotspots, trends, and prospects. The findings will offer scholars a valuable reference for identifying priority topics and potential collaborators, and will clearly point the way for future NITA research.

Indexed as

CiteSpaceNon-intubated thoracic anaesthesia (NITA)video-assisted thoracoscopic surgery (VATS)visual analysisVOSviewer

Identifiers

PMID42306657
PMCPMC13266851

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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.