ArticleERJ open research2023
Awake prone position in COVID-19 acute respiratory failure: a randomised crossover study using electrical impedance tomography.
Article in ERJ open research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04632602 (Awake Prone Position to Reduce Ventilation Inhomogeneity in COVID-19 Acute Respiratory Failure), which is not on this map. Cited by 9 papers, 1 of them a synthesis that pooled it.
What it found
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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.
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.
Awake Prone Position to Reduce Ventilation Inhomogeneity in COVID-19 Acute Respiratory Failure: a Randomized Cross Over Electrical Impedance Tomography Study
Who cites it
9 citing papers in PubMed, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.
- Efficacy of Prone Positioning in Non-ARDS Patients With Hypoxemic Respiratory Failure: A Systematic Review and Meta-Analysis.The clinical respiratory journal · 2026Pooled it
- Physiologic effects of prone positioning on gas exchange and ventilation-perfusion matching in awake patients with AHRF.BMC pulmonary medicine · 2024Trial
- Lung impedance changes during awake prone positioning in COVID-19. A non-randomized cross-over study.PloS one · 2024Trial
- Awake Prone Positioning in Non-Intubated Non-COVID-19 ARDS: A Comprehensive Review.Advances in respiratory medicine · 2026Review
- Recommendations for lung ventilation and perfusion assessment with chest electrical impedance tomography in critically ill adult patients: an international evidence-based and expert Delphi consensus study.EClinicalMedicine · 2025Article
- Awake prone positioning and ventilation distribution as assessed by electric impedance tomography in patients with non-COVID-19 acute hypoxemic respiratory failure: A prospective physiology study.Journal of intensive medicine · 2025Article
- Ventilatory Management of Patients with Acute Respiratory Distress Syndrome Due to SARS-CoV-2.Journal of clinical medicine · 2023Review
- Clinical Applicability of Electrical Impedance Tomography in Patient-Tailored Ventilation: A Narrative Review.Tomography (Ann Arbor, Mich.) · 2023Review
- Prone Positioning for Patients With COVID-19-Induced Acute Hypoxemic Respiratory Failure: Flipping the Script.Respiratory care · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: The goal of this study was to determine whether an awake prone position (aPP) reduces the global inhomogeneity (GI) index of ventilation measured by electrical impedance tomography (EIT) in COVID-19 patients with acute respiratory failure (ARF). Methods: This prospective crossover study included COVID-19 patients with COVID-19 and ARF defined by arterial oxygen tension:inspiratory oxygen fraction ( Results: 10 patients were randomised in each group. The GI index did not change in the SP-aPP group (baseline 74±20%, end of SP 78±23% and end of aPP 72±20%, p=0.85) or in the aPP-SP group (baseline 59±14%, end of aPP 59±15% and end of SP 54±13%, p=0.67). In the whole cohort, Conclusion: In spontaneously breathing nonintubated COVID-19 patients with ARF, aPP was not associated with a decrease of lung ventilation inhomogeneity assessed by EIT, despite an improvement in oxygenation.
Identifiers
What OpenQuestion holds
Registered trials
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.