ReviewJournal de medecine vasculaire2020
How to screen and diagnose deep venous thrombosis (DVT) in patients hospitalized for or suspected of COVID-19 infection, outside the intensive care units.
Review in Journal de medecine vasculaire, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05028244 (Systematic Ultrasound Screening for Lower Extremity Deep Vein Thrombosis in ICU Patients With Severe COVID-19), which is not on this map. Cited by 7 papers.
What it found
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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.
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.
Systematic Ultrasound Screening for Lower Extremity Deep Vein Thrombosis in ICU Patients With Severe COVID-19: a Randomized Clinical Trial.
Who cites it
7 citing papers in PubMed, 18 citations in OpenAlex.
- Construction and evaluation of a risk prediction model for postoperative deep vein thrombosis in gynecological patients.The journal of obstetrics and gynaecology research · 2025Article
- Screening for asymptomatic deep vein thrombosis in COVID-19 patients admitted to the medical ward: a cross-sectional study.Journal of ultrasound · 2023Article
- Efficacy and safety of sonographer discretion to terminate a venous duplex ultrasound for diagnosis of deep vein thrombosis in coronavirus disease 2019 patients.Journal of vascular surgery. Venous and lymphatic disorders · 2023Article
- Obstetrical outcomes and maternal morbidities associated with COVID-19 in pregnant women in France: A national retrospective cohort study.PLoS medicine · 2021Article
- Imaging Evaluation of Pulmonary and Non-Ischaemic Cardiovascular Manifestations of COVID-19.Diagnostics (Basel, Switzerland) · 2021Review
- Systematic screening for a proximal DVT in COVID-19 hospitalized patients: Results of a comparative study.Journal de medecine vasculaire · 2021Article
- The Relationship between Inflammatory Cytokines and Coagulopathy in Patients with COVID-19.Journal of clinical medicine · 2021Article
Corrections and comments
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Authors and funding
11 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionThe Coronavirus disease-2019 outbreak (COVID-19) has been declared a pandemic by the World Health Organization. Studies report both a severe inflammatory syndrome and a procoagulant state in severe COVID-19 cases, with an increase of venous thromboembolism, including pulmonary embolism (PE) and deep vein thrombosis (DVT). In this context, we discuss the use of doppler ultrasonography (DUS) in the screening and diagnosis of DVT in ambulatory and hospitalized patients with, or suspected of having, COVID-19, outside the intensive care unit (ICU). MATERIAL AND
methodsNon-systematic review of the literature.
resultsIn patients hospitalized for or suspected of COVID-19 infection with the presence of either (a) DVT clinical symptoms, (b) a strong DVT clinical probability (Wells score>2) or (c) elevated D-dimer levels without DVT clinical symptoms and without PE on lung CT angio-scan, DVT should be investigated with DUS. In the presence of PE diagnosed clinically and/or radiologically, additional systematic DVT screening using DUS is not recommended during the COVID-19 pandemic. The use of 4-points compression DUS for DVT screen and diagnosis is the most appropriate method in this context. DISCUSSION: Systematic DUS for DVT screening in asymptomatic COVID patients is not recommended unless the patient is in the ICU. This would increase the risk of unnecessarily exposing medical staff to SARS-CoV-2 and monopolizing limited resources during this period.
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Registered trials
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.