Evidence map›Paper›PMID 40688324›Full record

ArticleJournal of thoracic disease2025

Physiological pattern differences in non-intubated

Wei Shen, Nailiang Zang, Wei Wang, Jun Liu, Xin Xu, Fei Cui, Jun Huang, Guiling Peng, Lan Lan, Hui Liu and 6 more

Abstract read
In one paragraph

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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

16 authors.

Wei Shen *The First School of Clinical Medicine, Southern Medical University, Guangzhou, China.
Nailiang Zang *Department of Neurology, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
Wei WangDepartment of Thoracic Surgery and Oncology, the First Affiliated Hospital of Guangzhou Medical University, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, Guangzhou, China.
Jun LiuDepartment of Thoracic Surgery and Oncology, the First Affiliated Hospital of Guangzhou Medical University, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, Guangzhou, China.
Xin XuDepartment of Thoracic Surgery and Oncology, the First Affiliated Hospital of Guangzhou Medical University, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, Guangzhou, China.
Fei CuiDepartment of Thoracic Surgery and Oncology, the First Affiliated Hospital of Guangzhou Medical University, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, Guangzhou, China.
Jun HuangDepartment of Thoracic Surgery and Oncology, the First Affiliated Hospital of Guangzhou Medical University, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, Guangzhou, China.
Guiling PengDepartment of Thoracic Surgery and Oncology, the First Affiliated Hospital of Guangzhou Medical University, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, Guangzhou, China.
Lan LanDepartment of Anesthesia, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
Hui LiuDepartment of Anesthesia, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
Wenhua LiangDepartment of Thoracic Surgery and Oncology, the First Affiliated Hospital of Guangzhou Medical University, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, Guangzhou, China.
Hengrui LiangDepartment of Thoracic Surgery and Oncology, the First Affiliated Hospital of Guangzhou Medical University, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, Guangzhou, China.
Zeping YanDepartment of Thoracic Surgery and Oncology, the First Affiliated Hospital of Guangzhou Medical University, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, Guangzhou, China.
Qisen FanDepartment of Anesthesia, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
Qing AiDepartment of Thoracic Surgery and Oncology, the First Affiliated Hospital of Guangzhou Medical University, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, Guangzhou, China.
Jianxing HeThe First School of Clinical Medicine, Southern Medical University, Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: It is still weak with evidence of the targeted anesthesia management for non-intubated thoracic anesthesia, mainly based on the professional experience and information on the anesthesia sheet. Our study elucidates the differences in dynamic physiological parameters, including arterial oxygen saturation (SpO Methods: A prospective, observational, controlled study was conducted at a single national center for respiratory medicine, involving 131 non-intubated and 155 intubated patients undergoing video-assisted thoracoscopic surgery (VATS) [including sublobectomy (SubL) or lobectomy (Lob)]. Propensity score matching (PSM) resulted in 78 matched pairs for SubL; however, PSM was not applied for Lob. Clinical characteristics, anesthetic use, adjuvant drug use, and postoperative outcomes were compared between the two groups. Physiological parameters were recorded every 10 seconds using a lung-brain-heart-anesthesia platform and analyzed through descriptive statistics, visualization, feature extraction, and slope analysis. Results: The protocol of both non-intubated SubL and Lob reduced the use of sevoflurane, sufentanil, remifentanil, and cisatracurium (P<0.01). In the process of non-intubated thoracic anesthesia, statistical analysis of interquartile range (IQR) and the percentage of monitoring parameters values within the normal range showed significant results: a higher BIS percentage (72.2-78.9%), a similar SpO Conclusions: Using a real-time database, the non-intubated thoracic anesthesia management pattern is firstly clearly demonstrated, which differs from the intubated anesthesia with the machine-controlled pattern. Reducing intravenous anesthetics with regional nerve blocks could maintain spontaneous ventilation (SV), ensure adequate oxygen supplementation, an appropriate depth of anesthesia and HR. This approach, tolerating mild hypercapnia, permissive lower mean artery pressure, notably results in postoperative outcomes comparable to intubated anesthesia. Non-intubated anesthesia accelerates postoperative recovery in the PACU, particularly for Lob patients.

Indexed as

bispectral index (BIS)end-tidal carbon dioxide (ETCO2)Non-intubated thoracic anesthesiaone-lung spontaneous ventilation (one-lung SV)time-series data analysis

Identifiers

PMID40688324
PMCPMC12268822

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