Evidence map›Paper›PMID 36224481›Full record

ReviewJournal of interventional cardiac electrophysiology : an international journal of arrhythmias and pacing2023

Racial, ethnic, and sex disparities in atrial fibrillation management: rate and rhythm control.

Sofia E Gomez, Muhammad Fazal, Julio C Nunes, Shayena Shah, Alexander C Perino, Sanjiv M Narayan, Kamala P Tamirisa, Janet K Han, Fatima Rodriguez, Tina Baykaner

Open access · greenAbstract readReview
In one paragraph

Review in Journal of interventional cardiac electrophysiology : an international journal of arrhythmias and pacing, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
3.6field-weighted citation impact, top 6% 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

12 citing papers in PubMed, 25 citations in OpenAlex.

  1. Article
  2. Review
  3. Observational
  4. Review
  5. Article
  6. Review
  7. Article
  8. Article
  9. Atrial Fibrillation in Elite Athletes: A Comprehensive Review of the Literature.Journal of cardiovascular development and disease · 2024
    Review
  10. Article
  11. Review
  12. 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

10 authors at 4 institutions in 1 country.

Sofia E GomezDepartment of Medicine, Stanford University School of Medicine, 300 Pasteur Drive, H2146, Stanford, CA, 94305, USA.
Muhammad FazalDepartment of Medicine, Stanford University School of Medicine, 300 Pasteur Drive, H2146, Stanford, CA, 94305, USA.
Julio C NunesStanford Center for Clinical Research, Stanford University, Stanford, CA, USA.
Shayena ShahDepartment of Medicine, Stanford University School of Medicine, 300 Pasteur Drive, H2146, Stanford, CA, 94305, USA.
Alexander C PerinoDepartment of Medicine, Stanford University School of Medicine, 300 Pasteur Drive, H2146, Stanford, CA, 94305, USA.
Sanjiv M NarayanDepartment of Medicine, Stanford University School of Medicine, 300 Pasteur Drive, H2146, Stanford, CA, 94305, USA.
Kamala P TamirisaTexas Cardiac Arrhythmia Institute, Dallas, TX, USA.
Janet K HanCardiac Arrhythmia Service, Veterans Affairs Greater Los Angeles Healthcare System, Los Angeles, CA, USA.
Fatima RodriguezDepartment of Medicine, Stanford University School of Medicine, 300 Pasteur Drive, H2146, Stanford, CA, 94305, USA.
Tina BaykanerDepartment of Medicine, Stanford University School of Medicine, 300 Pasteur Drive, H2146, Stanford, CA, 94305, USA. tina4@stanford.edu.ORCID http://orcid.org/0000-0002-0476-2972
Stanford University · USTexas Cardiac Arrhythmia · USUniversity of California, Los Angeles · USYale University · US

Funding

The Dynamics of Human Atrial FibrillationR01HL083359 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Sanjiv M Narayan · 2008 to 2026
$7.9M
Patient-Directed Computational Analysis of Atrial FibrillationR01HL122384 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI WOUTER-JAN RAPPEL · 2015 to 2026
$5.3M
Machine Learning in Atrial FibrillationR01HL149134 · NHLBI · STANFORD UNIVERSITY · PI NARAYAN, SANJIV M · 2020 to 2024
$3.8M
The Maintenance of Human Atrial FibrillationK24HL103800 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI NARAYAN, SANJIV M · 2010 to 2019
$1.9M
Deep Neural Networks To Treat Atrial FibrillationK23HL145017 · NHLBI · STANFORD UNIVERSITY · PI BAYKANER, TINA · 2019 to 2023
$968k
SURPASS: (Statin Use and Risk Prediction of Atherosclerotic Cardiovascular Disease in minority Subgroups)K01HL144607 · NHLBI · STANFORD UNIVERSITY · PI RODRIGUEZ, FATIMA · 2019 to 2023
$856k
NHLBI NIH HHS K01 HL144607NHLBI NIH HHS K23 HL145017NHLBI NIH HHS K24 HL103800NHLBI NIH HHS R01 HL083359NHLBI NIH HHS R01 HL122384NHLBI NIH HHS R01 HL149134
6 · The paper itself

Abstract

backgroundAtrial fibrillation (AF) affects around 6 million Americans. AF management involves pharmacologic therapy and/or interventional procedures to control rate and rhythm, as well as anticoagulation for stroke prevention. Different populations may respond differently to distinct management strategies. This review will describe disparities in rate and rhythm control and their impact on outcomes among women and historically underrepresented racial and/or ethnic groups.

methodsThis is a narrative review exploring the topic of sex and racial and/or ethnic disparities in rate and rhythm management of AF. We describe basic terminology, summarize AF epidemiology, discuss diversity in clinical research, and review landmark clinical trials.

resultsDespite having higher rates of traditional AF risk factors, Black and Hispanic adults have lower risk of AF than non-Hispanic White (NHW) patients, although those with AF experience more severe symptoms and report lower quality-of-life scores than NHW patients with AF. NHW patients receive antiarrhythmic drugs, cardioversions, and invasive therapies more frequently than Black and Hispanic patients. Women have lower rates of AF than men, but experience more severe symptoms, heart failure, stroke, and death after AF diagnosis. Women and people from diverse racial and ethnic backgrounds are inadequately represented in AF trials; prevalence findings may be a result of underdetection.

conclusionRace, ethnicity, and gender are social determinants of health that may impact the prevalence, evolution, and management of AF. This impact reflects differences in biology as well as disparities in treatment and representation in clinical trials.

Indexed as

Atrial FibrillationStrokeAdultAnti-Arrhythmia AgentsBlack or African AmericanEthnicityFemaleHealthcare DisparitiesHispanic or LatinoHumansMaleSex FactorsUnited StatesWhiteAnti-Arrhythmia AgentsAtrial fibrillationDisparitiesRhythm control

Identifiers

PMID36224481
PMCPMC10097842
OpenAlexW4304762580

What OpenQuestion holds

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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.