Evidence map›Paper›PMID 30955406›Full record

ArticleJournal of the American Heart Association2019

In-Hospital Bleeding Outcomes of Myocardial Infarction in the Era of Warfarin and Direct Oral Anticoagulants for Atrial Fibrillation in the United States: A Report From the National Cardiovascular Data Registry Acute Coronary Treatment and Intervention Outcomes Network Registry.

Dmitriy N Feldman, Tracy Y Wang, Anita Y Chen, Rajesh V Swaminathan, Luke K Kim, S Chiu Wong, Robert M Minutello, Geoffrey Bergman, Harsimran S Singh, Christopher Madias

Open access · goldAbstract read
In one paragraph

Article in Journal of the American Heart Association, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.8field-weighted citation impact, top 25% 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

6 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
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  3. Review
  4. Review
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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

10 authors at 6 institutions in 1 country.

Dmitriy N Feldman1 Weill Cornell Medical College New York Presbyterian Hospital New York NY.
Tracy Y Wang2 Duke Clinical Research Institute Duke University Medical Center Durham NC.
Anita Y Chen2 Duke Clinical Research Institute Duke University Medical Center Durham NC.
Rajesh V Swaminathan2 Duke Clinical Research Institute Duke University Medical Center Durham NC.
Luke K Kim1 Weill Cornell Medical College New York Presbyterian Hospital New York NY.
S Chiu Wong1 Weill Cornell Medical College New York Presbyterian Hospital New York NY.
Robert M Minutello1 Weill Cornell Medical College New York Presbyterian Hospital New York NY.
Geoffrey Bergman1 Weill Cornell Medical College New York Presbyterian Hospital New York NY.
Harsimran S Singh1 Weill Cornell Medical College New York Presbyterian Hospital New York NY.
Christopher Madias3 Tufts Medical Center Boston MA.
Clinical Research Institute · USCornell University · USNew York Hospital Queens · USNewYork–Presbyterian Hospital · USDuke Medical Center · USTufts Medical Center · US

Funding

Disparities in COVID Disease Severity and Outcomes in New York CityUL1TR002384 · NCATS · WEILL MEDICAL COLL OF CORNELL UNIV · PI JULIANNE L IMPERATO-MCGINLEY · 2017 to 2026
$86.2M
NCATS NIH HHS UL1 TR002384
6 · The paper itself

Abstract

Background We sought to examine patient characteristics, peri-infarction invasive and pharmacologic management, and in-hospital major bleeding in myocardial infarction patients with atrial fibrillation or flutter, based on home anticoagulant use. Methods and Results We stratified patients by home anticoagulant: (1) no anticoagulant, (2) warfarin, and (3) direct oral anticoagulants ( DOAC s) among ST-segment-elevation myocardial infarction ( STEMI ) and non-STEMI (NSTEMI) patients with atrial fibrillation or flutter treated at 761 US hospitals in the ACTION (Acute Coronary Treatment and Intervention Outcomes Network) Registry from January 2015 to December 2016. The primary outcome of our study was in-hospital major bleeding. Multivariable logistic regression was used to examine the independent association between home anticoagulant and in-hospital major bleeding. Among 6471 STEMI patients with atrial fibrillation or flutter, 15.7% were on warfarin and 13.0% on DOAC s; among 19 954 NSTEMI patients, 22.8% were on warfarin and 15.4% on DOAC s. In STEMI , door-to-balloon times were slightly higher in those on anticoagulant, with similar rates of angiography within 24 hours in the 3 groups. NSTEMI patients on anticoagulant were less likely to undergo angiography (49.3% no anticoagulant, 33.4% on warfarin, 36.4% on DOAC s; P<0.01) or percutaneous coronary intervention within 24 hours (21.1% no anticoagulant, 14.3% on warfarin, 15.9% on DOAC s; P<0.01). After multivariate adjustment, use of home warfarin (odds ratio: 1.00 [95% CI , 0.79-1.27] in STEMI and 1.13 [95% CI , 0.97-1.30] in NSTEMI ) or DOAC (odds ratio: 0.93 [95% CI , 0.73-1.20] in STEMI and 0.97 [95% CI , 0.81-1.16] in NSTEMI ) was not associated with increased in-hospital major bleeding compared with no anticoagulant. Conclusions In routine clinical practice, home warfarin or DOAC therapy is not associated with an increased risk of in-hospital bleeding compared with no anticoagulant.

Indexed as

AgedAged, 80 and overAnticoagulantsAtrial FibrillationCoronary AngiographyFactor Xa InhibitorsFemaleHemorrhageHumansMaleMiddle AgedMyocardial InfarctionNon-ST Elevated Myocardial InfarctionPercutaneous Coronary InterventionRegistriesST Elevation Myocardial InfarctionAnticoagulantsFactor Xa InhibitorsWarfarinatrial fibrillationdirect oral anticoagulantmyocardial infarctionnovel oral anticoagulantwarfarin

Identifiers

PMID30955406
PMCPMC6507194
OpenAlexW2939987692

What OpenQuestion holds

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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.