Evidence map›Paper›PMID 33680591›Full record

ReviewCureus2021

The Role of Point of Care Ultrasound (PoCUS) in Orthopaedic Emergency Diagnostics.

Jennifer Oluku, Attila Stagl, Kamalpreet S Cheema, Karmen El-Raheb, Richard Beese

Open access · diamondAbstract 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 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.8field-weighted citation impact, top 16% of its field
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

4 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. PoCUS identification of distal biceps tendon rupture: a case report.International journal of emergency medicine · 2024
    Article
  3. Review
  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

5 authors at 1 institution in 1 country.

Jennifer OlukuTrauma and Orthopaedic Surgery, Queen Elizabeth Hospital, London, GBR.
Attila StaglTrauma and Orthopaedic Surgery, Queen Elizabeth Hospital, London, GBR.
Kamalpreet S CheemaTrauma and Orthopaedic Surgery, Queen Elizabeth Hospital, London, GBR.
Karmen El-RahebTrauma and Orthopaedic Surgery, Queen Elizabeth Hospital, London, GBR.
Richard BeeseClinical Radiology, Queen Elizabeth Hospital, London, GBR.
Queen Elizabeth Hospital · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ultrasound has been described as the "stethoscope" of the radiologist; its ability to aid in clinical diagnosis with both static and dynamic imaging has allowed fast and accurate diagnosis. However, traditionally unlike a stethoscope, a large and bulky ultrasound machine made it difficult to use portably in a hospital environment where patients can be scattered across a hospital. With the development of innovative ultrasound technology, Point of Care Ultrasound (PoCUS) can readily be carried by a clinician to make a quick and timely diagnosis. In this review article we look at the uses of PoCUS within orthopaedic emergencies. Diagnosis in orthopaedics often requires further imaging beyond history taking, clinical examination and plain radiographs. In these cases PoCUS can be useful for ruling out occult fractures, diagnosing joint effusions and tendon ruptures. By aiding a speedy diagnosis, we can reduce unnecessary immobilisation, reduce inpatient stays, introduce early mobilisation and reduce harm to patients. With PoCUS becoming increasingly cheaper and more portable we feel this really can become the stethoscope of an orthopaedic surgeon.

Indexed as

achilles tendon injuryjoint effusionoccult fractureorthopedics and traumapocus (point of care ultrasound)

Identifiers

PMID33680591
PMCPMC7925057
OpenAlexW3127542690

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.