Evidence map›Paper›PMID 38933109›Full record

ArticleFrontiers in medicine2024

Association between volume of lung damage and endoplasmic reticulum stress expression among severe COVID-19 ICU patients.

Domitille Renard, Mikael Verdalle-Cazes, Perrine Leprêtre, Jérémy Bellien, Valery Brunel, Sylvanie Renet, Fabienne Tamion, Emmanuel Besnier, Thomas Clavier

Abstract read
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. 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

9 authors.

Domitille RenardDepartment of Anesthesiology and Critical Care, CHU Rouen, Rouen, France.
Mikael Verdalle-CazesDepartment of Radiology, CHU Rouen, Rouen, France.
Perrine LeprêtreDepartment of Anesthesiology and Critical Care, CHU Rouen, Rouen, France.
Jérémy BellienINSERM EnVI UMR 1096, University of Rouen Normandie, Rouen, France.
Valery BrunelDepartment of General Biochemistry, CHU Rouen, Rouen, France.
Sylvanie RenetINSERM EnVI UMR 1096, University of Rouen Normandie, Rouen, France.
Fabienne TamionINSERM EnVI UMR 1096, University of Rouen Normandie, Rouen, France.
Emmanuel BesnierDepartment of Anesthesiology and Critical Care, CHU Rouen, Rouen, France.
Thomas ClavierDepartment of Anesthesiology and Critical Care, CHU Rouen, Rouen, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Links have been established between SARS-CoV-2 and endoplasmic reticulum stress (ERS). However, the relationships between inflammation, ERS, and the volume of organ damage are not well known in humans. The aim of this study was to explore whether ERS explains lung damage volume (LDV) among COVID-19 patients admitted to the intensive care unit (ICU). Materials and methods: We conducted a single-center retrospective study (ancillary analysis of a prospective cohort) including severe COVID-19 ICU patients who had a chest computed tomography (CT) scan 24 h before/after admission to assess LDV. We performed two multivariate linear regression models to identify factors associated with plasma levels of 78 kDa-Glucose-Regulated Protein (GRP78; ERS marker) and Interleukin-6 (IL-6; inflammation marker) at admission. Results: Among 63 patients analyzed, GRP78 plasma level was associated with LDV in both multivariate models (β = 22.23 [4.08;40.38]; Conclusion: Among severe COVID-19 patients, ERS was associated with LDV but not with systemic inflammation, while systemic inflammation was associated with organ failure but not with LDV.

Indexed as

acute respiratory distress syndromeCOVID-19endoplasmic reticulum stresshumansinflammationintensive care unitinterleukin-6organ failure

Identifiers

PMID38933109
PMCPMC11200928

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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.