Cited by 98Atrial Fibrillation Management and OutcomesSex and Gender in HealthcareAcute Ischemic Stroke Management

Women Versus Men with Chronic Atrial Fibrillation: Insights from the Standard Versus Atrial Fibrillation spEcific managemenT studY (SAFETY)

Open access
Ball, Jocasta, Carrington, Melinda J., Wood, Kathryn A., Stewart, Simon, the SAFETY Investigators·2013·PLoS ONE

Abstract

BACKGROUND: Gender-based clinical differences are increasingly being identified as having significant influence on the outcomes of patients with cardiovascular disease (CVD), including atrial fibrillation (AF). OBJECTIVE: To perform detailed clinical phenotyping on a cohort of hospitalised patients with chronic forms of AF to understand if gender-based differences exist in the clinical presentation, thrombo-embolic risk and therapeutic management of high risk patients hospitalised with chronic AF. METHODS: We are undertaking the Standard versus Atrial Fibrillation spEcific managemenT studY (SAFETY) - a multi-centre, randomised controlled trial of an AF-specific management intervention versus usual care. Extensive baseline profiling of recruited patients was undertaken to identify gender-specific differences for risk delineation. RESULTS: We screened 2,438 patients with AF and recruited 335 into SAFETY. Of these, 48.1% were women who were, on average, 5 years older than their male counterparts. Women and men displayed divergent antecedent profiles, with women having a higher thrombo-embolic risk but being prescribed similar treatment regimens. More women than men presented to hospital with co-morbid thyroid dysfunction, depression, renal impairment and obesity. In contrast, more men presented with coronary artery disease (CAD) and/or chronic obstructive pulmonary disease (COPD). Even when data was age-adjusted, women were more likely to live alone (odds ratio [OR] 2.33; 95% confidence interval [CI] 1.47 to 3.69), have non-tertiary education (OR 2.69; 95% CI 1.61 to 4.48) and be symptomatic (OR 1.93; 95% CI 1.06 to 3.52). CONCLUSION: Health care providers should be cognisant of gender-specific differences in an attempt to individualise and, hence, optimise the management of patients with chronic AF and reduce potential morbidity and mortality.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1371/journal.pone.0065795

Cites

34 of 34 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Ball, J., Carrington, M. J., Wood, K. A., Stewart, S., & the SAFETY Investigators
Affiliations
  • Baker Heart and Diabetes Institute (AU)
  • Duke University (US)
Corresponding author
Stewart, Simon
Venue
PLoS ONE
Published
2013-05-29
Volume
8
Issue
5
Pages
e65795
ISSN
1932-6203 (ISSN-L)
OpenAlex
W2032200780
Cited by
98
References
34
Citations by year
2026: 7 · 2025: 8 · 2024: 10 · 2023: 2 · 2022: 9 · 2021: 9 · 2020: 9 · 2019: 10 · 2018: 11 · 2017: 8 · 2016: 10 · 2015: 1 · 2014: 2 · 2013: 2
FWCI
3.40
Type
journal article
Language
en
Open access
Locations
  • PLoS ONE (publishedVersion, cc-by)
  • Europe PMC (PubMed Central) (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • Monash University Research Portal (Monash University) (submittedVersion, cc-by)
  • Research Bank (Australian Catholic University) (submittedVersion)
  • Adelaide Research & Scholarship (AR&S) (University of Adelaide) (submittedVersion, other-oa)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
  • Minerva Access (University of Melbourne) (submittedVersion, cc-by)
Funders
  • State Government of Victoria
  • Medical Research Council
  • National Health and Medical Research Council (519823)
Topics
  • Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Atrial Fibrillation Management and Outcomes
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Sex and Gender in Healthcare
  • Health Sciences › Medicine › Epidemiology › Acute Ischemic Stroke Management
Keywords
chronic atrial fibrillation, sex differences, thromboembolic risk, clinical phenotyping, hospitalized patients, anticoagulation, thyroid dysfunction, depression, renal dysfunction, obesity, coronary artery disease, chronic obstructive pulmonary disease, individualized management
MeSH terms
Aged, Aged, 80 and over, Atrial Fibrillation, Cardiovascular Diseases, Chronic Disease, Depression, Female, Humans, Kidney Diseases, Male, Middle Aged, Obesity, Regression Analysis, Risk Factors, Sex Factors, Thyroid Diseases, Cohort Studies, Comorbidity, Anti-Asthmatic Agents, Pulmonary Disease, Chronic Obstructive

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review