Evidence map›Paper›PMID 38559416›Full record

ArticleAmerican heart journal plus : cardiology research and practice2022

Racial and sex differences in optimizing anticoagulation therapy for patients with atrial fibrillation.

Mark H Eckman, Ruth Wise, Anthony C Leonard, Pete Baker, Rob Ireton, Brett M Harnett, Estrelita Dixon, Bi Awosika, Chika Ezigbo, Matthew L Flaherty and 13 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in American heart journal plus : cardiology research and practice, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.5field-weighted citation impact, top 35% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. Article
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

23 authors at 4 institutions in 1 country.

Mark H EckmanDivision of General Internal Medicine, University of Cincinnati College of Medicine, United States of America.
Ruth WiseDivision of General Internal Medicine, University of Cincinnati College of Medicine, United States of America.
Anthony C LeonardDepartment of Environmental and Public Health Sciences, University of Cincinnati College of Medicine, United States of America.
Pete BakerCenter for Health Informatics, University of Cincinnati College of Medicine, United States of America.
Rob IretonCenter for Health Informatics, University of Cincinnati College of Medicine, United States of America.
Brett M HarnettCenter for Health Informatics, University of Cincinnati College of Medicine, United States of America.
Estrelita DixonDivision of General Internal Medicine, University of Cincinnati College of Medicine, United States of America.
Bi AwosikaDivision of General Internal Medicine, University of Cincinnati College of Medicine, United States of America.
Chika EzigboDivision of General Internal Medicine, University of Cincinnati College of Medicine, United States of America.
Matthew L FlahertyDepartment of Neurology, University of Cincinnati College of Medicine, United States of America.
Adeboye AdejareDepartment of Biomedical Informatics, University of Cincinnati College of Medicine, United States of America.
Carol KnochelmannDivision of Cardiovascular Diseases, University of Cincinnati College of Medicine, United States of America.
Rachael MardisDivision of Cardiovascular Diseases, University of Cincinnati College of Medicine, United States of America.
Sharon WrightUniversity of Cincinnati Health System, United States of America.
Ashish GummadiDivision of General Internal Medicine, University of Cincinnati College of Medicine, United States of America.
Richard BeckerDivision of Cardiovascular Diseases, University of Cincinnati College of Medicine, United States of America.
Daniel P SchauerDivision of General Internal Medicine, University of Cincinnati College of Medicine, United States of America.
Alexandru CosteaDivision of Cardiovascular Diseases, University of Cincinnati College of Medicine, United States of America.
Dawn KleindorferDepartment of Neurology, University of Michigan College of Medicine, United States of America.
Heidi SucharewCincinnati Children's Hospital Medical Center, United States of America.
Amy CostanzoUniversity of Cincinnati College of Nursing, United States of America.
Lora AndersonUniversity of Cincinnati, United States of America.
John KuesDepartment of Family and Community Medicine, University of Cincinnati College of Medicine, United States of America.
University of Cincinnati Medical Center · USUniversity of Cincinnati · USCincinnati Children's Hospital Medical Center · USUniversity of Michigan–Ann Arbor · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Study objective: Atrial fibrillation (AF) is the most common cardiac rhythm disorder, responsible for 15 % of strokes in the United States. Studies continue to document underuse of anticoagulation therapy in minority populations and women. Our objective was to compare the proportion of AF patients by race and sex who were receiving non-optimal anticoagulation as determined by an Atrial Fibrillation Decision Support Tool (AFDST). Design setting and participants: Retrospective cohort study including 14,942 patients within University of Cincinnati Health Care system. Data were analyzed between November 18, 2020, and November 20, 2021. Main outcomes and measures: Discordance between current therapy and that recommended by the AFDST. Results: In our two-category analysis 6107 (41 %) received non-optimal anticoagulation therapy, defined as current treatment category ≠ AFDST-recommended treatment category. Non-optimal therapy was highest in Black (42 % [ Conclusions and relevance: In patients with atrial fibrillation in the University of Cincinnati Health system, Black race and female sex were independently associated with an increased odds of receiving non-optimal anticoagulant therapy.

Indexed as

Anticoagulation therapyAtrial fibrillationDecision sciencesGender disparitiesRacial disparitiesStroke prevention

Identifiers

PMID38559416
PMCPMC10978356
OpenAlexW4283778424

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.