Evidence map›Paper›PMID 36785650›Full record

ReviewJournal of intensive medicine2022

Awake prone positioning for patients with COVID-19-induced acute hypoxemic respiratory failure.

Yonatan Perez, Jian Luo, Miguel Ibarra-Estrada, Jie Li, Stephan Ehrmann

Abstract readReview
In one paragraph

Review in Journal of intensive medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. Managing Labour in Women with COVID-19.Journal of clinical medicine · 2023
    Review
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

5 authors.

Yonatan PerezMédecine Intensive Réanimation, Hôpital de Hautepierre, Hôpitaux universitaires de Strasbourg, Strasbourg 67000, France.
Jian LuoRespiratory Medicine Unit and Oxford NIHR Biomedical Research Centre, NDM Experimental Medicine, University of Oxford, Oxford OX3 9DU, UK.
Miguel Ibarra-EstradaUnidad de Terapia Intensiva, Hospital Civil Fray Antonio Alcalde. Universidad de Guadalajara. Guadalajara, Jalisco 44280, Mexico.
Jie LiDepartment of Cardiopulmonary Sciences, Division of Respiratory Care, Rush University, Chicago, IL 60612, USA.
Stephan EhrmannMédecine Intensive Réanimation, CIC 1415 INSERM, CRICS-TriggerSep F-CRIN research network, CHRU de Tours, Tours France and Centre d'étude des pathologies respiratoires (CEPR), INSERM U1100, Université de Tours, Tours 37000, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Whereas prone positioning of intubated patients suffering from acute respiratory distress syndrome represents the standard of care, proning non-intubated patients, so-called "awake prone positioning (APP)," has only recently gained popularity and undergone scientific evaluation. In this review, we summarize current evidence on physiological and clinical effects of APP on patients' centered outcomes, such as intubation and mortality, the safety of the technique, factors and predictors of success, practical issues for optimal implementation, and future areas of research. Current evidence supports using APP among patients suffering from acute hypoxemic respiratory failure due to COVID-19 and undergoing advanced respiratory support, such as high-flow nasal cannula, in an intensive care unit setting. Healthcare teams should aim to prone patients at least 8 h daily. Future research should focus on optimizing the tolerance of the technique and comprehensively evaluating benefits in other patient populations.

Indexed as

Intensive care unitsIntubationProne positionRespiratory distress syndrome

Identifiers

PMID36785650
PMCPMC9464348

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

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.