Evidence map›Paper›PMID 35693283›Full record

ArticleTranslational lung cancer research2022

The strategy of non-intubated spontaneous ventilation anesthesia for upper tracheal surgery: a retrospective case series study.

Yanran Zhou, Hengrui Liang, Ke Xu, Chao Yang, Lixia Liang, Qinglong Dong, Hanyu Yang, Hui Liu, Yinfen Li, Setu Patolia and 5 more

Open access · diamondAbstract read
In one paragraph

Article in Translational lung cancer research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
5.3field-weighted citation impact, top 4% of its field
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

10 citing papers in PubMed, 22 citations in OpenAlex.

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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

15 authors at 5 institutions in 4 countries.

Yanran Zhou *Department of Anesthesiology, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
Hengrui Liang *Department of Thoracic Surgery, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
Ke Xu *Department of Thoracic Surgery, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
Chao YangDepartment of Thoracic Surgery, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
Lixia LiangDepartment of Anesthesiology, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
Qinglong DongDepartment of Anesthesiology, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
Hanyu YangDepartment of Anesthesiology, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
Hui LiuDepartment of Anesthesiology, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
Yinfen LiDepartment of Anesthesiology, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
Setu PatoliaPulmonary and Critical Care Medicine, Saint Louis University, School of Medicine, Saint Louis, MO, USA.
Jinwook HwangDepartment of Thoracic and Cardiovascular Surgery, Korea University Ansan Hospital, Korea University College of Medicine, Ansan, Korea.
Patrick ZardoDepartment of Cardiothoracic, Transplantation and Vascular Surgery, Hannover Medical School, Hannover, Germany.
Shuben LiDepartment of Thoracic Surgery, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
Jianxing HeDepartment of Thoracic Surgery, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
Jun LiuDepartment of Thoracic Surgery, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
First Affiliated Hospital of Guangzhou Medical University · CNGuangzhou Medical University · CNKorea University · KRMedizinische Hochschule Hannover · DESaint Louis University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Upper tracheal surgery is used to treat patients who with tracheal tumors or tracheal stenosis. The non-intubated spontaneous ventilation anesthesia (NSVA) may have advantages over endotracheal intubation and surgical cross-field intubation in upper tracheal surgery. This study aimed to illustrate and assess the feasibility of NSVA strategy for upper tracheal surgery. Methods: This is a retrospective case series study in which 51 patients (from May 2015 to August 2020) who met the criteria in NSVA strategy were analyzed. Anesthesia was performed using total intravenous anesthesia (TIVA) combined with bilateral superficial cervical plexus block (CPB) or thoracic epidural anesthesia (TEA). Patients received spontaneous ventilation through laryngeal mask airway (LMA) during the surgery. Anesthesia conversion technique was applied to patients who met the anesthesia conversion criteria. Results: In total, 51 patients met the NSVA criteria and were included in this study. Forty-six out of 51 patients (90%) had TIVA + bilateral superficial CPB and five patients (10%) had TIVA + TEA + CPB. During the airway-opened period, 46 patients had stable spontaneous ventilation. Five patients need anesthesia conversion, two patients had high-frequency ventilation (HFV), and three patients required cross-field intubation. Postoperative complications occurred in seven (14%) patients, no reintubation was needed after surgery. The median postoperative hospital stay was 6.31±4.30 days. Conclusions: This NSVA strategy includes criteria for patient selection, preoperative assessment, surgical technique, airway management, criteria and technique for anesthesia conversion. The NSVA strategy is a feasible procedure in upper tracheal surgery.

Indexed as

anesthesiaresection and reconstructionSpontaneous ventilationtrachea

Identifiers

PMID35693283
PMCPMC9186174
OpenAlexW4282918581

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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.