Evidence map›Paper›PMID 34893029›Full record

ArticleBMC anesthesiology2021

Unexpected difficult extubation of double lumen bronchial intubation: a case report.

Xingcai Zhang, Shumiao Tang, Zihui Lu, Yijun Chen

Open access · goldAbstract readCase Reports
In one paragraph

Article in BMC anesthesiology, 2021. 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
0.2field-weighted citation impact, top 40% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

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

4 authors at 1 institution in 1 country.

Xingcai ZhangDepartment of Anesthesiology, Ningbo City First Hospital, No. 59 Liuting Street, Haishu District, Ningbo, Zhejiang, China.
Shumiao TangDepartment of Anesthesiology, Ningbo City First Hospital, No. 59 Liuting Street, Haishu District, Ningbo, Zhejiang, China.
Zihui LuDepartment of Anesthesiology, Ningbo City First Hospital, No. 59 Liuting Street, Haishu District, Ningbo, Zhejiang, China.
Yijun ChenDepartment of Anesthesiology, Ningbo City First Hospital, No. 59 Liuting Street, Haishu District, Ningbo, Zhejiang, China. 13967810490@139.com.ORCID 0000-0002-3209-8730
Ningbo First Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe anesthetist and other members of the perioperative team need to be extremely cautious for successful completion of any surgery. If the final step of any general anesthetic-extubation is not sufficiently well planned, it can lead to critical airway incidents during the extubation and hinder transportation of the patient to the post-anesthesia care unit. CASE PRESENTATION: A 48-year-old female underwent video-assisted thoracoscopic surgery (VATS) combined with left lower lobectomy. The distal end of the left branch of the tracheal tube was lodged by surgical sutures. In this case, the respiratory physician burned the sutures using an argon electrode, after discussion with the thoracic surgery experts.

conclusionsTeamwork is essential when caring for a patient with a shared airway. The anesthetist and surgeon must communicate well with each other to achieve optimal surgical outcomes. Importantly, testing the patency of the ETT prior to extubation should be a regular procedure, which is practical significance to guide safe extubation.

Indexed as

Anesthesia, GeneralThoracic Surgery, Video-AssistedAirway ExtubationFemaleHumansIntubation, IntratrachealMiddle AgedTracheaAnaesthetic managementCommunicationDifficult extubationVATS

Identifiers

PMID34893029
PMCPMC8660961
OpenAlexW4200193603

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.