Evidence map›Paper›PMID 35673592›Full record

ArticleJournal of clinical imaging science2022

Imaging findings and interventional management of deep venous thrombosis.

Hussam Hindi, Gauthier Dongmo, Alyssa Goodwin, Sean Jones, Kristian Loveridge

Open access · hybridAbstract read
In one paragraph

Article in Journal of clinical imaging science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.4field-weighted citation impact, top 40% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Diagnostic Efficacy of Acoustic Radiation Force Impulse in Staging of Lower Limb Intramuscular Venous Thrombosis: A Single-Center Prospective Cohort Study.Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine · 2026
    Article
  2. Review
  3. 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 2 institutions in 1 country.

Hussam HindiDepartment of Radiology, Wayne State University/Detroit Medical Center, Detroit, Michigan, United States.ORCID https://orcid.org/0000-0002-7250-1985
Gauthier DongmoDepartment of Radiology, Wayne State University/Detroit Medical Center, Detroit, Michigan, United States.
Alyssa GoodwinDepartment of Radiology, Wayne State University/Detroit Medical Center, Detroit, Michigan, United States.
Sean JonesDepartment of Radiology, Wayne State University/Detroit Medical Center, Detroit, Michigan, United States.
Kristian LoveridgeDepartment of Radiology, Wayne State University/Detroit Medical Center, Detroit, Michigan, United States.
Detroit Medical Center · USWayne State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Deep venous thrombosis (DVT) is a subtype of venous thromboembolism. Lower extremity DVT affects about 1-2% of hospitalized patients. If not managed properly, these thrombi can embolize, causing further complications. Thrombosis risk factors include vascular endothelial injury, venous stasis, and hypercoagulability states. This triad is also known as Virchow's triad. Although clinical features of lower extremity DVT are nonspecific and many patients are asymptomatic, physicians should maintain a high index of suspicion in patients presenting with leg swelling, pain, warmth, and erythema. Several diagnostic approaches for suspected first DVT have been proposed, and management depends on multiple factors such as location, duration of symptoms, cause of the thrombosis, and recurrence rate.

Indexed as

AngioplastyDVTStentThrombectomyThrombolysis

Identifiers

PMID35673592
PMCPMC9168300
OpenAlexW4280584438

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.