Evidence map›Paper›PMID 34760590›Full record

ReviewAustralasian journal of ultrasound in medicine2020

Point-of-care ultrasound for deep venous thrombosis of the lower limb.

David Canty, Kavi Mufti, Lindsay Bridgford, André Denault

Open access · bronzeAbstract readReview
In one paragraph

Review in Australasian journal of ultrasound in medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
0.8field-weighted citation impact, top 23% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

  1. Guideline
  2. Trial
  3. Trial
  4. Article
  5. 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 at 3 institutions in 2 countries.

David CantyDepartment of Surgery (Royal Melbourne Hospital) University of Melbourne Level 6 Centre for Medical Research, PO Box 2135 Melbourne Victoria 3050 Australia.ORCID https://orcid.org/0000-0001-5735-7367
Kavi MuftiDepartment of Medicine, Nursing and Health Sciences Monash University Wellington Rd Clayton Victoria 3800 Australia.
Lindsay BridgfordDepartment of Surgery (Royal Melbourne Hospital) University of Melbourne Level 6 Centre for Medical Research, PO Box 2135 Melbourne Victoria 3050 Australia.
André DenaultDepartment of Anesthesiology and Critical Care Faculty of Medicine University of Montreal 2900 Edouard Montpetit Blvd Montreal Quebec H3T 1J4 Canada.
The Royal Melbourne Hospital · AUFrankston Hospital · AUMontreal Heart Institute · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The incidence and morbidity of deep venous thrombosis (DVT) and pulmonary embolus are high. Although efforts to increase screening for DVT have been recommended, this is limited by resources. Venous duplex ultrasound has replaced venography as the first-line investigation of choice for DVT, increasing availability and reducing patient exposure to radiation and intravenous contrast. Furthermore, an abbreviated ultrasound where DVT is inferred from incomplete venous compressibility has an equivalent accuracy to venous duplex, requiring less time and training enabling its widespread use by emergency, critical care and anaesthesia clinicians. In this review, the evolution and method of lower limb venous compression ultrasound is described along with evidence for its use in patients at high risk for DVT in these clinical settings.

Indexed as

compression venographydeep venous thrombosispoint‐of‐care ultrasoundscreeningvenous Doppler ultrasound

Identifiers

PMID34760590
PMCPMC8411774
OpenAlexW2995282550

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.