Evidence map›Paper›PMID 34540499›Full record

ArticleCureus2021

Number Needed to Scan: Evidence-Based Point-of-Care Ultrasound (POCUS).

Richard Amini, Asad E Patanwala, Hamid Shokoohi, Srikar Adhikari

Abstract read
In one paragraph

Article in Cureus, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Soundwaves of innovation: a qualitative exploration of POCUS in Australasian ambulance and retrieval services.Scandinavian journal of trauma, resuscitation and emergency medicine · 2025
    Article
  3. Article
  4. Article
  5. Article
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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.

Richard AminiDepartment of Emergency Medicine, University of Arizona College of Medicine, Tucson, USA.
Asad E PatanwalaSchool of Pharmacy, University of Sydney, Royal Prince Alfred Hospital, Sydney, AUS.
Hamid ShokoohiDepartment of Emergency Medicine, Massachusetts General Hospital, Boston, USA.
Srikar AdhikariDepartment of Emergency Medicine, University of Arizona College of Medicine, Tucson, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Interest and enthusiasm, regarding the use of point-of-care ultrasound (POCUS), continues to grow among clinicians in multiple medical specialties. Ultrasound machines technology has advanced to allow for smaller, even handheld machines. Integration of automated imaging technology has made these machines more user-friendly. However, one of the concerns with the widespread availability of POCUS is the overuse and misuse of this technology. In order to maximize the clinical impact of POCUS, this manuscript seeks to discuss a novel concept called the "Number needed to scan" (NNS). The NNS is an expression of the number of POCUS examinations needed to be performed to attain a benefit to the patient or to prevent an adverse outcome of a procedure. NNS serves a dual purpose: it can help clinicians understand the magnitude of clinical impact when they apply POCUS, and it can help clinicians explain this magnitude in layman terms to their patients. In this manuscript, we have focused our NNS calculations on landmark articles in three major categories: change in management; safety and accuracy; and catching a missed diagnosis. As clinicians seek to be good stewards of POCUS, NNS should be a concept used to consider which patients will be most likely to benefit from a clinician performed ultrasound.

Indexed as

number needed to treatpocus (point of care ultrasound)point-of-care-ultrasoundresearch in emergency medicineteaching in emergency medicine

Identifiers

PMID34540499
PMCPMC8447885

What OpenQuestion holds

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LicenceCC BY
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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.