Evidence map›Paper›PMID 32907890›Full record

ArticleThe European respiratory journal2020

Elevated D-dimers and lack of anticoagulation predict PE in severe COVID-19 patients.

Basile Mouhat, Matthieu Besutti, Kevin Bouiller, Franck Grillet, Charles Monnin, Fiona Ecarnot, Julien Behr, Gilles Capellier, Thibaud Soumagne, Sébastien Pili-Floury and 7 more

Open access · hybridAbstract read
In one paragraph

Article in The European respiratory journal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 70 papers, 10 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
70citing papers in PubMed, 10 pooled it
15.1field-weighted citation impact, top 1% 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

70 citing papers in PubMed, 10 syntheses or guidelines pooled it, 134 citations in OpenAlex.

  1. Pooled it
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  4. Risk factors for pulmonary embolism in patients with COVID-19: a systemic review and meta-analysis.International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2021
    Pooled it
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  8. Guideline
  9. COVID-19 and Cardiomyopathy: A Systematic Review.Frontiers in cardiovascular medicine · 2021
    Pooled it
  10. Diagnostic Value of D-Dimer in COVID-19: A Meta-Analysis and Meta-Regression.Clinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/Hemostasis
    Pooled it
  11. Review
  12. Article
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10 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

17 authors at 4 institutions in 1 country.

Basile MouhatDept of Cardiology, University Hospital, Besançon, France.ORCID 0000-0001-8459-8959
Matthieu BesuttiDept of Cardiology, University Hospital, Besançon, France.
Kevin BouillerInfectious and Tropical Diseases Unit, University Hospital, Besançon, France.
Franck GrilletDept of Radiology, Besançon University Hospital, Besançon, France.ORCID 0000-0001-6594-8829
Charles MonninDept of Cardiology, University Hospital, Besançon, France.
Fiona EcarnotDept of Cardiology, University Hospital, Besançon, France.
Julien BehrDept of Radiology, Besançon University Hospital, Besançon, France.
Gilles CapellierResearch Unit EA3920, University of Franche-Comte, Besancon, France.
Thibaud SoumagneMedical Intensive Care Unit, University Hospital, Besançon, France.
Sébastien Pili-FlouryResearch Unit EA3920, University of Franche-Comte, Besancon, France.
Guillaume BeschResearch Unit EA3920, University of Franche-Comte, Besancon, France.
Guillaume MoureyHematology Unit, University Hospital, Besançon, France.
Quentin LepillerVirology Laboratory, University Hospital, Besançon, France.
Catherine ChirouzeInfectious and Tropical Diseases Unit, University Hospital, Besançon, France.ORCID 0000-0002-6150-2376
François SchieleDept of Cardiology, University Hospital, Besançon, France.ORCID 0000-0003-4974-6551
Romain ChopardDept of Cardiology, University Hospital, Besançon, France.
Nicolas MeneveauDept of Cardiology, University Hospital, Besançon, France.
Centre Hospitalier Universitaire de Besançon · FRCentre National de la Recherche Scientifique · FRInserm · FRUniversité de franche-comté · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCoronavirus disease 2019 (COVID-19) may predispose to venous thromboembolism. We determined factors independently associated with computed tomography pulmonary angiography (CTPA)-confirmed pulmonary embolism (PE) in hospitalised severe COVID-19 patients.

methodsAmong all (n=349) patients hospitalised for COVID-19 in a university hospital in a French region with a high rate of COVID-19, we analysed patients who underwent CTPA for clinical signs of severe disease (oxygen saturation measured by pulse oximetry ≤93% or breathing rate ≥30 breaths·min

results162 (46.4%) patients underwent CTPA (mean±sd age 65.6±13.0 years; 67.3% male (95% CI 59.5-75.5%). PE was diagnosed in 44 (27.2%) patients. Most PEs were segmental and the rate of PE-related right ventricular dysfunction was 15.9%. By multivariable analysis, the only two significant predictors of CTPA-confirmed PE were D-dimer level and the lack of any anticoagulant therapy (OR 4.0 (95% CI 2.4-6.7) per additional quartile and OR 4.5 (95% CI 1.1-7.4), respectively). Receiver operating characteristic curve analysis identified a D-dimer cut-off value of 2590 ng·mL

conclusionElevated D-dimers (>2590 ng·mL

Indexed as

AgedAnticoagulantsBetacoronavirusComputed Tomography AngiographyCoronavirus InfectionsCOVID-19FemaleFibrin Fibrinogen Degradation ProductsFranceHumansMaleOximetryPandemicsPneumonia, ViralPredictive Value of TestsPulmonary EmbolismAnticoagulantsFibrin Fibrinogen Degradation Productsfibrin fragment D

Identifiers

PMID32907890
PMCPMC7487272
OpenAlexW3085883558

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.