Evidence map›Paper›PMID 39678033›Full record

ArticleFrontiers in medicine2024

Case report: Spontaneous arterial bleeding in the lateral thoracic region during helmet CPAP treatment: a report of three cases in patients with severe COVID-19.

Vincenzo Francesco Tripodi, Salvatore Sardo, Salvatore Silipigni, Alberto Stagno, Antonio Francesco Neri, Antonio Bottari, Anna Teresa Mazzeo

Abstract readCase Reports
In one paragraph

Article in Frontiers in medicine, 2024. 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
–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

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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

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

7 authors.

Vincenzo Francesco TripodiUnit of Anaesthesia and Intensive Care, Department of Human Pathology in Adulthood and Childhood, University of Messina, Messina, Italy.
Salvatore SardoDepartment of Medical Sciences and Public Health, Faculty of Medicine and Surgery, University of Cagliari, Cagliari, Italy.
Salvatore SilipigniSection of Radiological Sciences, Department of Biomedical, Dental and Morphological and Functional Imaging Sciences, University of Messina, Messina, Italy.
Alberto StagnoSection of Radiological Sciences, Department of Biomedical, Dental and Morphological and Functional Imaging Sciences, University of Messina, Messina, Italy.
Antonio Francesco NeriUnit of Anaesthesia and Intensive Care, Department of Human Pathology in Adulthood and Childhood, University of Messina, Messina, Italy.
Antonio BottariSection of Radiological Sciences, Department of Biomedical, Dental and Morphological and Functional Imaging Sciences, University of Messina, Messina, Italy.
Anna Teresa MazzeoUnit of Anaesthesia and Intensive Care, Department of Human Pathology in Adulthood and Childhood, University of Messina, Messina, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection has put enormous pressure on healthcare systems worldwide. While the majority of severe cases present with respiratory failure, thrombosis or bleeding have also been reported at unusual sites. Major bleeding, particularly in patients treated with therapeutic anticoagulation, has been observed between the second and third week after the onset of SARS-CoV-2 infection. This article describes three cases of patients admitted to the hospital with severe SARS-CoV-2 pneumonia who had spontaneous arterial bleeding from the thoracic and subscapular regions during treatment with helmet continuous positive airway pressure (H-CPAP) in the intensive care unit (ICU), requiring a percutaneous embolization procedure. A possible correlation with helmet-supported ventilation is hypothesized.

Indexed as

ARDScontinuous positive airway pressureCOVID-19embolizationrespiratory failureSARS-CoV-2

Identifiers

PMID39678033
PMCPMC11645657

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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.