Evidence map›Paper›PMID 37726832›Full record

ArticleJournal of intensive care2023

Ultrasonographic evaluation of the diaphragm in critically ill patients to predict invasive mechanical ventilation.

Karn Suttapanit, Supawit Wongkrasunt, Sorravit Savatmongkorngul, Praphaphorn Supatanakij

Registry-linked trialAbstract read
In one paragraph

Article in Journal of intensive care, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07323472 (Analysis of Respiratory Drive Activation, Ventilation, and Pulmonary Aeration Resulting From Body Lateralization in Critically Ill Patients Under Mechanical Ventilation), which is not on this map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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.

NCT07323472 narecruitingnot on this mapstarted 2026, after this paper: background citation

Analysis of Respiratory Drive Activation, Ventilation, and Pulmonary Aeration Resulting From Body Lateralization in Critically Ill Patients Under Mechanical Ventilation

TypeinterventionalSponsorUniversity of PernambucoRan2026 to 2027Enrolled30ConditionsIntensive Care Units (ICUs)ArmsAutomatic Lateralization Therapy, Supine Positioning
3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. 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

4 authors.

Karn SuttapanitDepartment of Emergency Medicine, Faculty of Medicine, Ramathibodi Hospital, Mahidol University, 270 Rama VI Rd., Ratchathewi, Bangkok, 10400, Thailand.
Supawit WongkrasuntDepartment of Emergency Medicine, Faculty of Medicine, Ramathibodi Hospital, Mahidol University, 270 Rama VI Rd., Ratchathewi, Bangkok, 10400, Thailand.
Sorravit SavatmongkorngulDepartment of Emergency Medicine, Faculty of Medicine, Ramathibodi Hospital, Mahidol University, 270 Rama VI Rd., Ratchathewi, Bangkok, 10400, Thailand.
Praphaphorn SupatanakijDepartment of Emergency Medicine, Faculty of Medicine, Ramathibodi Hospital, Mahidol University, 270 Rama VI Rd., Ratchathewi, Bangkok, 10400, Thailand. praphaphorn.u@gmail.com.ORCID http://orcid.org/0000-0003-3063-9529

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDiaphragm dysfunction is common in critically ill patients and associated with poorer outcomes. The function of the diaphragm can be evaluated at the bedside by measuring diaphragmatic excursion using ultrasonography. In this study, we investigated the ability of right-sided diaphragmatic excursion (RDE) to predict the need for invasive mechanical ventilation (IMV).

methodsCritically ill patients aged 18 years and older who presented to our emergency department between May 20, 2021 and May 19, 2022 and underwent measurement of RDE within 10 min of arrival were enrolled in this prospective study. The ability of RDE to predict the need for IMV was assessed by multivariable logistic regression and analysis of the area under the receiver-operating characteristic curve (AUROC).

resultsA total of 314 patients were enrolled in the study; 113 (35.9%) of these patients required IMV. An increase of RDE value per each 0.1 cm was identified to be an independent predictor of IMV (adjusted odds ratio 0.08, 95% confidence interval [CI] 0.04-0.17, p < 0.001; AUROC 0.850, 95% CI 0.807-0.894). The RDE cutoff value was 1.2 cm (sensitivity 82.3%, 95% CI 74.0-88.8; specificity 78.1%, 95% CI 71.7-83.6). Time on a ventilator was significantly longer when the RDE was ≤ 1.2 cm (13 days [interquartile range 5, 27] versus 5 days [interquartile range 3, 8], p = 0.006).

conclusionsIn this study, RDE had a good ability to predict the need for IMV in critically ill patients. The optimal RDE cutoff value was 1.2 cm. Its benefit in patient management requires further investigation.

Indexed as

Critical illnessDiaphragmatic dysfunctionDiaphragmatic excursionPoint-of-care ultrasound

Identifiers

PMID37726832
PMCPMC10507830

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.