Evidence map›Paper›PMID 41728099›Full record

ArticleThe open respiratory medicine journal2026

Prognostic Implications of Pneumothorax and Pneumomediastinum in COVID-19 Pneumonia: A Cross-Sectional Analysis.

Dany Gaspard, Nadine Yared, Reem Wehbe, Elias Horanieh, Tarek Bou Dargham, Mohamad Bahij Moumneh, Christine Atallah, Mohammad Fawaz

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In one paragraph

Article in The open respiratory medicine journal, 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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0citing papers in PubMed
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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

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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

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5 · Who and what money

Authors and funding

8 authors.

Dany GaspardGilbert and Rose-Marie Chagoury School of Medicine, Lebanese American University, Beirut, Lebanon.ORCID https://orcid.org/0000-0002-7769-5440
Nadine YaredFaculty of Medicine and Medical Sciences, University of Balamand, Beirut, Lebanon.
Reem WehbeFaculty of Medicine and Medical Sciences, University of Balamand, Beirut, Lebanon.
Elias HoraniehFaculty of Medicine and Medical Sciences, University of Balamand, Beirut, Lebanon.
Tarek Bou DarghamFaculty of Medicine and Medical Sciences, University of Balamand, Beirut, Lebanon.
Mohamad Bahij MoumnehFaculty of Medicine and Medical Sciences, University of Balamand, Beirut, Lebanon.
Christine AtallahFaculty of Medicine and Medical Sciences, University of Balamand, Beirut, Lebanon.
Mohammad FawazFaculty of Medicine and Medical Sciences, University of Balamand, Beirut, Lebanon.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The prognostic implications of developing pneumothorax (PT) or pneumomediastinum (PM) in COVID-19 pneumonia remain a topic of debate, with current literature showing conflicting data. We aimed to assess mortality rates and the characteristics of patients with COVID-19 pneumonia who developed these complications compared to those who did not. Methods: We analyzed data and outcomes for patients aged 18 years or older who were admitted for COVID-19 pneumonia to a tertiary care referral center in Lebanon. Results: A total of 527 patients (356 men and 171 women) were identified. Events were reported in 43 patients (18 PM, 10 PT, and 15 both). Overall mortality was 28.3%. Mortality was significantly higher in patients with events compared to those without events (69.7% Discussion: Barotrauma events, including PT and PM in COVID-19 pneumonia, were associated with significantly higher mortality and appear to reflect more severe lung involvement. Mortality was not directly caused by the events themselves. A significant proportion occurred in patients on supplemental oxygen or high-flow nasal cannula (21%), highlighting the need for a high index of suspicion for such events even in non-ventilated patients. Conclusion: There is a strong association between the development of PT and/or PM and mortality in COVID-19 pneumonia.

Indexed as

Body mass indexComputed tomographyCOVID-19Lung injuryPneumomediastinumPneumothoraxRespiratory distress syndromeReverse transcription polymerase chain reaction

Identifiers

PMID41728099
PMCPMC12916428

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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.