Evidence map›Paper›PMID 38813077›Full record

ArticleCureus2024

Contralateral Tension Pneumothorax in One-Lung Ventilation: A Case Report and Systematic Review.

Angie H Chang, Hongchengcheng Chen, Lei Li, Yirui Hu, Ruoxi Zhang, Xiaopeng Zhang

Abstract readCase Reports
In one paragraph

Article in Cureus, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

6 authors.

Angie H ChangAnesthesiology, Geisinger Medical Center, Danville, USA.
Hongchengcheng ChenThoracic Surgery, Peking University People's Hospital, Beijing, CHN.
Lei LiAnesthesiology, Geisinger Medical Center, Danville, USA.
Yirui HuEpidemiology and Public Health, Henry Hood Center for Health Research, Geisinger Commonwealth School of Medicine, Danville, USA.
Ruoxi ZhangBasic Biomedical Sciences, Touro College of Osteopathic Medicine, Middletown, USA.
Xiaopeng ZhangAnesthesiology, Geisinger Medical Center, Danville, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Contralateral tension pneumothorax is a rare but fatal complication of one-lung ventilation. The life-saving decompression of pleural space was frequently delayed by the difficult confirmation of diagnosis because of general anesthesia that masks specific clinical presentations when the patient is alert. We reported a case of tension pneumothorax in a patient who underwent thoracic spine instrumentation. There were no contralateral tension pneumothorax cases on file from the search of the Anesthesia Quality Institute Closed Claims Database from 2001 to 2017. We systematically searched PubMed, Ovid MEDLINE, Embase, and Google Scholar. Over the past 30 years, there were 21 single case reports and two case series were retrieved. It was a consensus that difficult confirmation of the diagnosis of contralateral tension pneumothorax is the culprit of delayed life-saving intervention. Difficulty of oxygenation with increasing inspiratory pressure was usually the first sign suggesting contralateral pneumothorax; however, earlier presentations of cardiovascular system failure than respiratory failure have significantly increased the incidence of cardiac arrest and death. It is paramount to maintain a high suspicion of tension pneumothorax. The application of esophageal stethoscope, lung ultrasound, and simulator training may improve the chance of early diagnosis and patient outcome.

Indexed as

contralateral tension pneumothoraxdouble lumen endobronchial tubeesophageal stethoscopelung ultrasoundone lung ventilationsimulator

Identifiers

PMID38813077
PMCPMC11135384

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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.