Evidence map›Paper›PMID 42131561›Full record

ArticlePOCUS journal2026

Lowering DVT-Related ED Visits via a Primary Care POCUS Pathway.

William Hui, Jo-Anne Suffoletto, Steven Lin

Abstract read
In one paragraph

Article in POCUS journal, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

William HuiDivision of Primary Care and Population Health, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA.
Jo-Anne SuffolettoDivision of Primary Care and Population Health, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA.
Steven LinDivision of Primary Care and Population Health, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Lower extremity deep vein thrombosis (DVT) requires prompt diagnosis to prevent pulmonary embolism (PE). DVT point of care ultrasound (POCUS) is shown to be effective in emergency department (ED) settings, though few studies have demonstrated impact in primary care settings. This quality improvement (QI) project aimed to establish a primary care DVT POCUS pathway to reduce ED visits. Methods: From June 2024 to August 2025, a POCUS fellowship-trained physician at an academic family medicine clinic received referrals from other primary care clinicians for suspected DVTs and performed POCUS evaluations and DVT management. Patient outcomes and clinician feedback were collected via chart review and surveys to assess the project's feasibility and acceptability. Results: Eighty patients were evaluated, with a positive DVT rate of 5% (4/80). The pathway potentially avoided ED visits for 46% of patients (37/80), translating to an estimated cost savings of $85,100. With a 98% (43/44) response rate, most referring clinicians strongly agreed that the DVT pathway improved patient safety and access, reduced their cognitive burden, and reduced ED referrals. Conclusions: The DVT POCUS pathway effectively managed patients with suspected DVT in the primary care setting, demonstrating feasibility and acceptability with clinicians, as well as potential cost savings. This model warrants further research as a framework for integrating DVT POCUS into primary care, enhancing diagnostic capabilities and patient care, while alleviating pressures on EDs.

Indexed as

deep vein thrombosisPOCUSPoint-of-care ultrasoundPrimary CareQuality Improvement

Identifiers

PMID42131561
PMCPMC13161772

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Registered trials

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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.