Evidence map›Paper›PMID 41816489›Full record

ArticleJournal of thoracic disease2026

Intraoperative management and postoperative outcomes of patients with high body mass index undergoing tubeless anesthesia for non-intubated uniportal video-assisted thoracoscopic surgery: a single-center retrospective propensity score matching study.

Long-Long Liu, Shao-Yong Dong, Xu-Guang Zhang, Biao Zhang, Qiang Guo, Yong-Le Li, Mo Deng, Hao-Zhen Li, Jin-Yu Kong, Tong-Xin Zheng and 1 more

Abstract read
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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.

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1 · What the graph read from it

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.

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

11 authors.

Long-Long LiuSchool of Clinical Medicine, Hebei University, Baoding, China.ORCID https://orcid.org/0009-0007-6704-0401
Shao-Yong DongDepartment of Thoracic Surgery, The Affiliated Hospital of Hebei University, Baoding, China.
Xu-Guang ZhangDepartment of Thoracic Surgery, The Affiliated Hospital of Hebei University, Baoding, China.
Biao ZhangDepartment of Thoracic Surgery, The Affiliated Hospital of Hebei University, Baoding, China.
Qiang GuoDepartment of Thoracic Surgery, The Affiliated Hospital of Hebei University, Baoding, China.
Yong-Le LiDepartment of Anesthesia, The Affiliated Hospital of Hebei University, Baoding, China.
Mo DengDepartment of Anesthesia, The Affiliated Hospital of Hebei University, Baoding, China.
Hao-Zhen LiSchool of Clinical Medicine, Hebei University, Baoding, China.
Jin-Yu KongSchool of Clinical Medicine, Hebei University, Baoding, China.
Tong-Xin ZhengSchool of Clinical Medicine, Hebei University, Baoding, China.
He-Fei LiDepartment of Thoracic Surgery, The Affiliated Hospital of Hebei University, Baoding, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Tubeless anesthesia for non-intubated uniportal video-assisted thoracoscopic surgery (NI-UniVATS) has been widely used in various thoracic surgical procedures. However, most patients selected for this procedure have a normal body mass index (BMI), and the impact of this surgery on patients with high BMI (H-BMI) remains unclear. The study aims to evaluate the perioperative course of NI-UniVATS in H-BMI patients. Methods: A retrospective analysis was conducted on data from patients who underwent tubeless anesthesia for NI-UniVATS at The Affiliated Hospital of Hebei University between June 2023 and June 2025. A total of 414 eligible patients were included, with 38 in the H-BMI group (BMI ≥28 kg/m Results: The clinical characteristics of the two groups were comparable, including age (P=0.78), gender (P=0.81), and surgical type (P=0.84). The number of intraoperative anesthetic adjustments was significantly higher in the H-BMI group than in the NH-BMI group (1.39±1.36 Conclusions: Compared with NH-BMI patients, H-BMI patients undergoing NI-UniVATS have similar intraoperative conditions and postoperative outcomes, but require more intraoperative anesthetic adjustments.

Indexed as

high body mass index (high BMI)non-intubated uniportal video-assisted thoracoscopic surgery (NI-UniVATS)Tubeless anesthesia

Identifiers

PMID41816489
PMCPMC12972892

What Socratic holds

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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 Socratic graph.