Evidence map›Paper›PMID 32812199›Full record

ArticleJournal of thrombosis and thrombolysis2021

High prevalence of early asymptomatic venous thromboembolism in anticoagulated COVID-19 patients hospitalized in general wards.

Sylvain Le Jeune, Jaehyo Suhl, Ruben Benainous, François Minvielle, Christine Purser, Farid Foudi, Ursula Warzocha, Robin Dhote

Open access · bronzeAbstract read
In one paragraph

Article in Journal of thrombosis and thrombolysis, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 6 pooled it
4.4field-weighted citation impact, top 3% 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

23 citing papers in PubMed, 6 syntheses or guidelines pooled it, 39 citations in OpenAlex.

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  6. Pulmonary Embolism Does Not Have an Unusually High Incidence Among Hospitalized COVID19 Patients.Clinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/Hemostasis
    Pooled it
  7. Anticoagulant therapy in COVID-19: A narrative review.Clinical and translational science · 2023
    Review
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  15. Major coagulation disorders and parameters in COVID-19 patients.European journal of medical research · 2022
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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

8 authors at 2 institutions in 1 country.

Sylvain Le JeuneService de Médecine Interne, Centre Hospitalo-Universitaire Avicenne, Assistance Publique-Hôpitaux de Paris, 125 rue de Stalingrad, 93000, Bobigny, France. sylvain.le-jeune@aphp.fr.
Jaehyo SuhlService de Médecine Interne, Centre Hospitalo-Universitaire Avicenne, Assistance Publique-Hôpitaux de Paris, 125 rue de Stalingrad, 93000, Bobigny, France.
Ruben BenainousService de Médecine Interne, Centre Hospitalo-Universitaire Avicenne, Assistance Publique-Hôpitaux de Paris, 125 rue de Stalingrad, 93000, Bobigny, France.
François MinvielleService des Explorations Fonctionnelles, Centre Hospitalo-Universitaire Avicenne, Assistance Publique-Hôpitaux de Paris, Bobigny, France.
Christine PurserService des Explorations Fonctionnelles, Centre Hospitalo-Universitaire Avicenne, Assistance Publique-Hôpitaux de Paris, Bobigny, France.
Farid FoudiService de Médecine Interne, Centre Hospitalo-Universitaire Avicenne, Assistance Publique-Hôpitaux de Paris, 125 rue de Stalingrad, 93000, Bobigny, France.
Ursula WarzochaService de Médecine Interne, Centre Hospitalo-Universitaire Avicenne, Assistance Publique-Hôpitaux de Paris, 125 rue de Stalingrad, 93000, Bobigny, France.
Robin DhoteService de Médecine Interne, Centre Hospitalo-Universitaire Avicenne, Assistance Publique-Hôpitaux de Paris, 125 rue de Stalingrad, 93000, Bobigny, France.
Assistance Publique – Hôpitaux de Paris · FRHôpital Avicenne · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Coronavirus disease 2019 (COVID-19) is associated with coagulation activation and high incidence of venous thromboembolism (VTE) in severe patients despite routine thromboprophylaxis. Conflicting results exist regarding the epidemiology of VTE for unselected anticoagulated COVID-19 patients hospitalized in general wards. The aim of this study was to evaluate the prevalence of asymptomatic deep venous thrombosis (DVT) in unselected patients with COVID-19 recently hospitalized in general wards. We performed a systematic complete doppler ultrasound (CDU) at a median 4 days after admission in 42 consecutive COVID-19 patients hospitalized in general wards of our university hospital, irrespective of D-Dimer level, and retrospectively collected clinical, biological and outcome data from electronic charts. Thromboprophylaxis was systematically applied following a French national proposal. In our population, the prevalence of asymptomatic DVT was 19% (8/42 patients), with distal thrombosis in 7/8 cases and bilateral DVT in 4/8 cases. Symptomatic pulmonary embolism was detected in 4 (9.5%) patients, associated to DVT in one case. Compared to patients without DVT, patients with DVT were older and experienced poorer outcomes. In conclusion, prevalence of asymptomatic DVT is high in the first days of hospitalization of unselected COVID-19 patients in general wards and may be related to poor prognosis. Individualized assessment of thromboprophylaxis and early systematic screening for DVT is warranted in this context.

Indexed as

AdultAgedAged, 80 and overAnticoagulantsAsymptomatic DiseasesCOVID-19FemaleFranceHumansInpatientsMaleMiddle AgedPrevalenceRetrospective StudiesUltrasonography, DopplerVenous ThromboembolismAnticoagulantsAnticoagulationCOVID-19General wardsSARS-CoV-2Venous thromboembolism

Identifiers

PMID32812199
PMCPMC7433772
OpenAlexW3049194439

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.