Evidence map›Paper›PMID 35941260›Full record

ReviewIntensive care medicine2022

Machines that save lives in the intensive care unit: the ultrasonography machine.

Paul H Mayo, Michelle Chew, Ghislaine Douflé, Armand Mekontso-Dessap, Mangala Narasimhan, Antoine Vieillard-Baron

Abstract readReview
In one paragraph

Review in Intensive care medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. [The EDEC curriculum-the path to advanced echocardiography in the intensive care unit].Medizinische Klinik, Intensivmedizin und Notfallmedizin · 2024
    Article
  5. Review
  6. Review
  7. Article
  8. Article
  9. Article
  10. Using ultrasound in ICU.Intensive care medicine · 2023
    Article
  11. Using ultrasound in ICU.Intensive care medicine · 2023
    Article
  12. 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

6 authors.

Paul H MayoDivision of Pulmonary, Critical Care, and Sleep Medicine, Northwell Health LIJ/NSUH Medical Center, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA. mayosono@gamail.com.ORCID http://orcid.org/0000-0003-2549-8194
Michelle ChewDepartment of Anaesthesiology and Intensive Care Medical and Health Sciences, Linköping University, Linköping, Sweden.
Ghislaine DoufléDepartment of Anesthesia and Pain Management, Toronto General Hospital, University Health Network, Toronto, Canada.
Armand Mekontso-DessapAP-HP Hôpitaux Universitaires Henri-Mondor, Service de Médecine Intensive Réanimation, 94010, Créteil, France.
Mangala NarasimhanDivision of Pulmonary, Critical Care, and Sleep Medicine, Northwell Health LIJ/NSUH Medical Center, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA.
Antoine Vieillard-BaronIntensive Care Medicine, University Hospital Ambroise Paré, Assistance Publique-Hôpitaux de Paris, 92100, Boulogne-Billancourt, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This article highlights the ultrasonography machine as a machine that saves lives in the intensive care unit. We review its utility in the limited resource intensive care unit and some elements of machine design that are relevant to both the constrained operating environment and the well-resourced intensive care unit. As the ultrasonography machine can only save lives, if is operated by a competent intensivist; we discuss the challenges of training the frontline clinician to become competent in critical care ultrasonography followed by a review of research that supports its use.

Indexed as

Critical CareIntensive Care UnitsHumansUltrasonographyEDECMachine designUltrasonographyUPUM

Identifiers

PMID35941260
PMCPMC9360728

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.