Evidence map›Paper›PMID 33469595›Full record

ArticlemedRxiv : the preprint server for health sciences2021

Intermediate-dose anticoagulation, aspirin, and in-hospital mortality in COVID-19: a propensity score-matched analysis.

Matthew L Meizlish, George Goshua, Yiwen Liu, Rebecca Fine, Kejal Amin, Eric Chang, Nicholas DeFilippo, Craig Keating, Yuxin Liu, Michael Mankbadi and 12 more

Open access · greenAbstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed, 26 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

22 authors at 3 institutions in 1 country.

Matthew L MeizlishYale School of Medicine, New Haven, CT.
George GoshuaSection of Hematology, Department of Medicine, Yale School of Medicine, New Haven, CT.
Yiwen LiuDana-Farber Cancer Institute, Boston, MA.
Rebecca FineDepartment of Medicine, Yale School of Medicine, New Haven, CT.
Kejal AminDepartment of Pharmacy, Yale-New Haven Hospital, New Haven, CT.
Eric ChangSection of Hematology, Department of Medicine, Yale School of Medicine, New Haven, CT.
Nicholas DeFilippoDepartment of Pharmacy, Yale-New Haven Hospital, New Haven, CT.
Craig KeatingJoint Data Analytics Team, Yale New Haven Hospital, New Haven, CT.
Yuxin LiuSection of Hematology, Department of Medicine, Yale School of Medicine, New Haven, CT.
Michael MankbadiDepartment of Medicine, Yale School of Medicine, New Haven, CT.
Dayna McManusDepartment of Pharmacy, Yale-New Haven Hospital, New Haven, CT.
Stephen WangDepartment of Medicine, Yale School of Medicine, New Haven, CT.
Christina PriceSection of Allergy and Immunology, Department of Medicine, Yale School of Medicine, New Haven, CT.
Robert D BonaSection of Hematology, Department of Medicine, Yale School of Medicine, New Haven, CT.
Cassius Iyad Ochoa ChaarSection of Vascular Surgery, Department of Surgery, Yale School of Medicine, New Haven, CT.
Hyung J ChunSection of Cardiology, Department of Medicine, Yale School of Medicine, New Haven, CT.
Alexander B PineSection of Hematology, Department of Medicine, Yale School of Medicine, New Haven, CT.
Henry M RinderSection of Hematology, Department of Medicine, Yale School of Medicine, New Haven, CT.
Jonathan SinerSection of Pulmonary and Sleep Medicine, Department of Medicine, Yale School of Medicine, New Haven, CT.
Donna S NeubergDana-Farber Cancer Institute, Boston, MA.
Kent A OwusuDepartment of Pharmacy, Yale-New Haven Hospital, New Haven, CT.
Alfred Ian LeeSection of Hematology, Department of Medicine, Yale School of Medicine, New Haven, CT.
Yale University · USYale New Haven Hospital · USDana-Farber Cancer Institute · US

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Medical Scientist Training ProgramT32GM136651 · NIGMS · YALE UNIVERSITY · PI BARBARA I KAZMIERCZAK · 2020 to 2026
$16.5M
Role of Endothelial Regulation of Fatty Acid Uptake in Metabolic DysfunctionR01HL142818 · NHLBI · YALE UNIVERSITY · PI CHUN, HYUNG JOON, HWA, JOHN · 2018 to 2021
$2.1M
Macrophage regulation of tissue repair and fibrosis through sensing of extracellular matrix mechanicsF31HL139116 · NHLBI · YALE UNIVERSITY · PI MEIZLISH, MATTHEW LOWELL · 2018 to 2019
$59k
NCATS NIH HHS UL1 TR001863NHLBI NIH HHS F31 HL139116NHLBI NIH HHS R01 HL142818NIGMS NIH HHS T32 GM136651
6 · The paper itself

Abstract

Background: Thrombotic complications occur at high rates in hospitalized patients with COVID-19, yet the impact of intensive antithrombotic therapy on mortality is uncertain. Research Question: How does in-hospital mortality compare with intermediate- versus prophylactic-dose anticoagulation, and separately with in-hospital aspirin versus no antiplatelet therapy, in treatment of COVID-19? Study Design and Methods: Using data from 2785 hospitalized adult COVID-19 patients, we established two separate, nested cohorts of patients (1) who received intermediate- or prophylactic-dose anticoagulation ("anticoagulation cohort", N = 1624), or (2) who were not on home antiplatelet therapy and received either in-hospital aspirin or no antiplatelet therapy ("aspirin cohort", N = 1956). Propensity score matching utilizing various markers of illness severity and other patient-specific covariates yielded treatment groups with well-balanced covariates in each cohort. The primary outcome was cumulative incidence of in-hospital death. Results: Among propensity score-matched patients in the anticoagulation cohort (N = 382), in a multivariable regression model, intermediate- compared to prophylactic-dose anticoagulation was associated with a significantly lower cumulative incidence of in-hospital death (hazard ratio 0.518 [0.308-0.872]). Among propensity-score matched patients in the aspirin cohort (N = 638), in a multivariable regression model, in-hospital aspirin compared to no antiplatelet therapy was associated with a significantly lower cumulative incidence of in-hospital death (hazard ratio 0.522 [0.336-0.812]). Interpretation: In this propensity score-matched, observational study of COVID-19, intermediate-dose anticoagulation and aspirin were each associated with a lower cumulative incidence of in-hospital death.

Identifiers

PMID33469595
PMCPMC7814841
OpenAlexW3119075867

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.