Evidence map›Paper›PMID 34260813›Full record

ArticleJournal of thrombosis and haemostasis : JTH2021

The CoVID-TE risk assessment model for venous thromboembolism in hospitalized patients with cancer and COVID-19.

Ang Li, Nicole M Kuderer, Chih-Yuan Hsu, Yu Shyr, Jeremy L Warner, Dimpy P Shah, Vaibhav Kumar, Surbhi Shah, Amit A Kulkarni, Julie Fu and 28 more

Erratum issuedOpen access · bronzeAbstract read
In one paragraph

Article in Journal of thrombosis and haemostasis : JTH, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 17 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 2 pooled it
5.2field-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

17 citing papers in PubMed, 2 syntheses or guidelines pooled it, 30 citations in OpenAlex.

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  5. Validation of the CoVID-TE model as a tool to predict thrombosis, bleeding, and mortality in the oncology patient with Sars-Cov-2 infection: a study by the SEOM cancer and thrombosis group.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2024
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  15. Corrigendum.Journal of thrombosis and haemostasis : JTH · 2022
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

38 authors at 20 institutions in 2 countries.

Ang LiSection of Hematology-Oncology, Baylor College of Medicine, Houston, Texas, USA.ORCID 0000-0002-8455-2309
Nicole M KudererAdvanced Cancer Research Group, Seattle, Washington, USA.
Chih-Yuan HsuDepartment of Biomedical Informatics, Vanderbilt University, Nashville, Tennessee, USA.
Yu ShyrDepartment of Biomedical Informatics, Vanderbilt University, Nashville, Tennessee, USA.
Jeremy L WarnerDepartment of Biomedical Informatics, Vanderbilt University, Nashville, Tennessee, USA.
Dimpy P ShahMays Cancer Center at UT Health San Antonio MD Anderson Cancer Center, San Antonio, Texas, USA.
Vaibhav KumarSection of Hematology-Oncology, University of North Carolina, Chapel Hill, North Carolina, USA.
Surbhi ShahDivision of Hematology, Oncology, and Transplantation, University of Minnesota, Minneapolis, Minnesota, USA.
Amit A KulkarniDivision of Hematology, Oncology, and Transplantation, University of Minnesota, Minneapolis, Minnesota, USA.
Julie FuHematology Oncology, Tufts Medical Center Cancer Center, Boston & Stoneham, Massachusetts, USA.
Shuchi GulatiDivision of Hematology/Oncology, University of Cincinnati, Cincinnati, Ohio, USA.
Rebecca L ZonDivision of Hematology, Brigham and Women's Hospital Boston, Boston, Massachusetts, USA.
Monica LiSchool of Medicine, Baylor College of Medicine, Houston, Texas, USA.
Aakash DesaiDivision of Hematology, Department of Medicine, Mayo Clinic, Rochester, Minnesota, USA.
Pamela C EganBrown University and Lifespan Cancer Institute, Providence, Rhode Island, USA.
Ziad BakounyDana-Farber Cancer Institute, Boston, Massachusetts, USA.
Devendra KcHartford HealthCare Cancer Institute, Hartford, Connecticutt, USA.
Clara HwangHenry Ford Cancer Institute, Henry Ford Hospital, Detroit, Michigan, USA.
Imo J AkpanHerbert Irving Comprehensive Cancer Center at Columbia University, New York, New York, USA.
Rana R McKayMoores Cancer Center at the University of California, San Diego, California, USA.
Jennifer GirardUniversity of Michigan Rogel Cancer Center, Ann Arbor, Michigan, USA.
Andrew L SchmidtDana-Farber Cancer Institute, Boston, Massachusetts, USA.
Balazs HalmosAlbert Einstein College of Medicine, Montefiore Medical Center, Bronx, New York, USA.
Michael A ThompsonAurora Cancer Care, Advocate Aurora Health, Milwaukee, Wisconsin, USA.
Jaymin M PatelBeth Israel Deaconess Medical Center (BIDMC), Boston, Massachusetts, USA.
Nathan A PennellCleveland Clinic, Cleveland, Ohio, USA.
Solange PetersLausanne University Hospital, Lausanne, Switzerland.
Amro ElshouryLeukemia Service, Department of Medicine, Roswell Park Comprehensive Cancer Center, Buffalo, New York, USA.
Gilbero de Lima LopesSylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, Florida, USA.
Daniel G StoverOhio State University Comprehensive Cancer Center, Columbus, Ohio, USA.
Petros GrivasUniversity of Washington, Fred Hutchinson Cancer Research Center, Seattle Cancer Care Alliance, Seattle, Washington, USA.
Brian I RiniDepartment of Medicine, Division of Hematology/Oncology, Vanderbilt University, Nashville, Tennessee, USA.
Corrie A PainterBroad Institute of MIT and Harvard, Cambridge, Massachusetts, USA.
Sanjay MishraDepartment of Medicine, Division of Hematology/Oncology, Vanderbilt University, Nashville, Tennessee, USA.
Jean M ConnorsDivision of Hematology, Brigham and Women's Hospital Boston, Boston, Massachusetts, USA.
Gary H LymanUniversity of Washington, Fred Hutchinson Cancer Research Center, Seattle Cancer Care Alliance, Seattle, Washington, USA.
Rachel P RosovskyDivision of Hematology/Oncology, Massachusetts General Hospital, Boston, Massachusetts, USA.
CCC19 consortium
Vanderbilt University · USBaylor College of Medicine · USBrigham and Women's Hospital · USDana-Farber Cancer Institute · USSeattle Cancer Care Alliance · USUniversity of Minnesota · USAlbert Einstein College of Medicine · USAurora Health Care · USBeth Israel Deaconess Medical Center · USBroad Institute · USBrown University · USCancer Research And Biostatistics · USCleveland Clinic · USColumbia University Irving Medical Center · USHartford Hospital · USHenry Ford Hospital · USMassachusetts General Hospital · USMayo Clinic · USRoswell Park Comprehensive Cancer Center · USThe Ohio State University · US

Funding

Tumor Immunology and Microenvironment Research ProgramP30CA068485 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI MATTHEW J TYSKA · 1995 to 2026
$172.8M
Cancer Prevention and Research Institute of Texas RR190104Hemostasis and Thrombosis Research Society Mentored Research AwardNational Hemophilia Foundation Shire Clinical Fellowship AwardNCI NIH HHS P30 CA068485
6 · The paper itself

Abstract

backgroundHospitalized patients with COVID-19 have increased risks of venous (VTE) and arterial thromboembolism (ATE). Active cancer diagnosis and treatment are well-known risk factors; however, a risk assessment model (RAM) for VTE in patients with both cancer and COVID-19 is lacking.

objectivesTo assess the incidence of and risk factors for thrombosis in hospitalized patients with cancer and COVID-19.

methodsAmong patients with cancer in the COVID-19 and Cancer Consortium registry (CCC19) cohort study, we assessed the incidence of VTE and ATE within 90 days of COVID-19-associated hospitalization. A multivariable logistic regression model specifically for VTE was built using a priori determined clinical risk factors. A simplified RAM was derived and internally validated using bootstrap.

resultsFrom March 17, 2020 to November 30, 2020, 2804 hospitalized patients were analyzed. The incidence of VTE and ATE was 7.6% and 3.9%, respectively. The incidence of VTE, but not ATE, was higher in patients receiving recent anti-cancer therapy. A simplified RAM for VTE was derived and named CoVID-TE (Cancer subtype high to very-high risk by original Khorana score +1, VTE history +2, ICU admission +2, D-dimer elevation +1, recent systemic anti-cancer Therapy +1, and non-Hispanic Ethnicity +1). The RAM stratified patients into two cohorts (low-risk, 0-2 points, n = 1423 vs. high-risk, 3+ points, n = 1034) where VTE occurred in 4.1% low-risk and 11.3% high-risk patients (c statistic 0.67, 95% confidence interval 0.63-0.71). The RAM performed similarly well in subgroups of patients not on anticoagulant prior to admission and moderately ill patients not requiring direct ICU admission.

conclusionsHospitalized patients with cancer and COVID-19 have elevated thrombotic risks. The CoVID-TE RAM for VTE prediction may help real-time data-driven decisions in this vulnerable population.

Indexed as

COVID-19NeoplasmsVenous ThromboembolismCohort StudiesHumansRisk AssessmentSARS-CoV-2clinical decision rulesCOVID-19SARS-CoV-2thrombosisvenous thromboembolism

Identifiers

PMID34260813
PMCPMC8420489
OpenAlexW3182496422

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.