Evidence map›Paper›PMID 34178536›Full record

ReviewCureus2021

Perioperative Point-of-Care Ultrasound Use by Anesthesiologists.

Abdullah Naji, Monica Chappidi, Abdelwahab Ahmed, Aaron Monga, Joseph Sanders

Abstract readReview
In one paragraph

Review in Cureus, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Observational
  2. Article
  3. Review
  4. Article
  5. The profile of the Diploma in Anaesthesia in South Africa.Journal of the colleges of medicine of South Africa · 2026
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Review
  14. Review
  15. Article
  16. Article
  17. 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

5 authors.

Abdullah NajiAnesthesiology and Perioperative Medicine, Oregon Health Science University Hospital, Portland, USA.
Monica ChappidiAnesthesiology, College of Osteopathic Medicine of the Pacific, Western University of Health Sciences, Pomona, USA.
Abdelwahab AhmedInternal Medicine, Northwestern Memorial Hospital, Chicago, USA.
Aaron MongaAnesthesiology, College of Osteopathic Medicine of the Pacific, Western University of Health Sciences, Pomona, USA.
Joseph SandersAnesthesiology, Henry Ford Health System, Detroit, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Point-of-Care ultrasound (POCUS) is the bedside utilization of ultrasound, in real-time, to aid in the diagnosis and treatment of patients. Image acquisition from POCUS utilization by anesthesiologists involves the assessment of multiple organs in different perioperative situations. POCUS can be utilized to enhance clinical decision-making in a variety of perioperative situations due to its ability to assess endotracheal tube placement, cardiac function, pulmonary function, aspiration risk, hemodynamics, vascular access, and nerve visualization for regional procedures. The mounting clinical evidence for the value of POCUS in perioperative settings, its growing affordability, and its low associated risks are responsible for the nationwide movement across many anesthesiology residency programs to increase the focus on perioperative ultrasound training. The purpose of this review is to present to current anesthesiologists and anesthesiology trainees, a broad discussion regarding the diverse utility and importance of POCUS in perioperative settings.

Indexed as

anesthesiaanesthesiologistsbedside ultrasoundechocardiographyperioperativepoint-of-care-ultrasoundultrasound in anesthesiologyultrasound (u/s)

Identifiers

PMID34178536
PMCPMC8221658

What OpenQuestion holds

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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.