Evidence map›Paper›PMID 33472255›Full record

ArticleThrombosis and haemostasis2021

Prevalence and Predictors of Venous Thromboembolism or Mortality in Hospitalized COVID-19 Patients.

Stuart L Cohen, Eugenia Gianos, Mathew A Barish, Saurav Chatterjee, Nina Kohn, Martin Lesser, Dimitrios Giannis, Kevin Coppa, Jamie S Hirsch, Thomas G McGinn and 3 more

Open access · bronzeAbstract read
In one paragraph

Article in Thrombosis and haemostasis, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed, 3 pooled it
4.4field-weighted citation impact, top 4% 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

43 citing papers in PubMed, 3 syntheses or guidelines pooled it, 71 citations in OpenAlex.

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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

13 authors at 3 institutions in 1 country.

Stuart L Cohen *Department of Radiology, Northwell Health, Manhasset, New York, United States.
Eugenia Gianos *Department of Cardiology, Northwell Health, Manhasset, New York, United States.
Mathew A BarishDepartment of Radiology, Northwell Health, Manhasset, New York, United States.
Saurav ChatterjeeDepartment of Cardiology, Northwell Health, Manhasset, New York, United States.
Nina KohnFeinstein Institutes for Medical Research, Northwell Health, Manhasset, New York, United States.
Martin LesserFeinstein Institutes for Medical Research, Northwell Health, Manhasset, New York, United States.
Dimitrios GiannisFeinstein Institutes for Medical Research, Northwell Health, Manhasset, New York, United States.
Kevin CoppaDepartment of Information Services, Northwell Health, New Hyde Park, New York, United States.
Jamie S HirschFeinstein Institutes for Medical Research, Northwell Health, Manhasset, New York, United States.
Thomas G McGinnFeinstein Institutes for Medical Research, Northwell Health, Manhasset, New York, United States.
Mark E GoldinFeinstein Institutes for Medical Research, Northwell Health, Manhasset, New York, United States.
Alex C SpyropoulosFeinstein Institutes for Medical Research, Northwell Health, Manhasset, New York, United States.
Northwell Health COVID-19 Research Consortium
Northwell Health · USDonald & Barbara Zucker School of Medicine at Hofstra/Northwell · USFeinstein Institute for Medical Research · US

Funding

Re-engineering Precision Therapeutics Through N-of-1 TrialsR01LM012836 · NLM · FEINSTEIN INSTITUTE FOR MEDICAL RESEARCH · PI DAVIDSON, KARINA W. · 2017 to 2023
$7.6M
Supporting Roybal P30 Centers Through a Single DSMBFR24AG064191 · NIA · FEINSTEIN INSTITUTE FOR MEDICAL RESEARCH · PI Karina W. Davidson · 2019 to 2026
$6.0M
NIA NIH HHS R24 AG064191NLM NIH HHS R01 LM012836R01LM012836 National Library of Medicine of the National Institutes of HealthR24AG064191 National Institute on Aging of the National Institutes of Health
6 · The paper itself

Abstract

backgroundWe aimed to identify the prevalence and predictors of venous thromboembolism (VTE) or mortality in hospitalized coronavirus disease 2019 (COVID-19) patients.

methodsA retrospective cohort study of hospitalized adult patients admitted to an integrated health care network in the New York metropolitan region between March 1, 2020 and April 27, 2020. The final analysis included 9,407 patients with an overall VTE rate of 2.9% (2.4% in the medical ward and 4.9% in the intensive care unit [ICU]) and a VTE or mortality rate of 26.1%. Most patients received prophylactic-dose thromboprophylaxis. Multivariable analysis showed significantly reduced VTE or mortality with Black race, history of hypertension, angiotensin converting enzyme/angiotensin receptor blocker use, and initial prophylactic anticoagulation. It also showed significantly increased VTE or mortality with age 60 years or greater, Charlson Comorbidity Index (CCI) of 3 or greater, patients on Medicare, history of heart failure, history of cerebrovascular disease, body mass index greater than 35, steroid use, antirheumatologic medication use, hydroxychloroquine use, maximum D-dimer four times or greater than the upper limit of normal (ULN), ICU level of care, increasing creatinine, and decreasing platelet counts.

conclusionIn our large cohort of hospitalized COVID-19 patients, the overall in-hospital VTE rate was 2.9% (4.9% in the ICU) and a VTE or mortality rate of 26.1%. Key predictors of VTE or mortality included advanced age, increasing CCI, history of cardiovascular disease, ICU level of care, and elevated maximum D-dimer with a cutoff at least four times the ULN. Use of prophylactic-dose anticoagulation but not treatment-dose anticoagulation was associated with reduced VTE or mortality.

Indexed as

AdultAgedAge FactorsBlood CoagulationCOVID-19HospitalizationHumansMaleMiddle AgedPrevalencePrognosisRetrospective StudiesRisk FactorsSARS-CoV-2Venous ThromboembolismYoung Adult

Identifiers

PMID33472255
PMCPMC9044533
OpenAlexW3122629328

What OpenQuestion holds

Textmetadata
LicenceTDM
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.