Evidence map›Paper›PMID 39712398›Full record

ArticleJournal of multimorbidity and comorbidity

Multimorbidity in patients with atrial fibrillation and community controls: A population-based study.

Alanna M Chamberlain, Alvaro Alonso, Peter A Noseworthy, Konstantinos C Siontis, Bernard J Gersh, Jill M Killian, Susan A Weston, Lisa E Vaughan, Sheila M Manemann, Véronique L Roger and 1 more

Abstract read
In one paragraph

Article in Journal of multimorbidity and comorbidity. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Multimorbidity in Atrial Fibrillation: Impact on Outcomes.Journal of the American Heart Association · 2026
    Article
  4. Assessment of comorbidity awareness in patients with atrial fibrillation: The ACAPAF study.International journal of cardiology. Heart & vasculature · 2025
    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

11 authors.

Alanna M ChamberlainDepartment of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA.ORCID https://orcid.org/0000-0003-1888-9584
Alvaro AlonsoDepartment of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, USA.
Peter A NoseworthyDepartment of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA.
Konstantinos C SiontisDepartment of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA.
Bernard J GershDepartment of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA.
Jill M KillianDepartment of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA.
Susan A WestonDepartment of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA.
Lisa E VaughanDepartment of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA.
Sheila M ManemannDepartment of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA.
Véronique L RogerDepartment of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA.
Euijung RyuDepartment of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA.

Funding

Interdisciplinary Infrastructure for Aging Research: Rochester Epidemiology ProjectR33AG058738 · NIA · MAYO CLINIC ROCHESTER · PI LEBRASSEUR, NATHAN K, OLSON, JANET E · 2020 to 2022
$2.4M
Multimorbidity, Rurality, and Outcomes in Atrial Fibrillation in the CommunityR21AG062580 · NIA · MAYO CLINIC ROCHESTER · PI CHAMBERLAIN, ALANNA M · 2019 to 2020
$451k
Interdisciplinary Infrastructure for Aging Research: Rochester Epidemiology ProjectR21AG058738 · NIA · MAYO CLINIC ROCHESTER · PI LEBRASSEUR, NATHAN K, OLSON, JANET E · 2018 to 2019
$437k
NIA NIH HHS R21 AG058738NIA NIH HHS R21 AG062580NIA NIH HHS R33 AG058738
6 · The paper itself

Abstract

Background: Multimorbidity is common in patients with atrial fibrillation (AF), yet comorbidity patterns are not well documented. Methods: The prevalence of 18 chronic conditions (6 cardiometabolic, 7 other somatic, 5 mental health) was obtained in patients with new-onset AF from 2013-2017 from a 27-county region and controls matched 1:1 on age, sex, and county of residence. For AF patients and controls separately, clustering of conditions and co-occurrence beyond chance was estimated (using the asymmetric Somers' D statistic), overall and for ages <65, 65-74, 75-84, and ≥85 years. Results: Among 16,509 patients with AF (median age 76 years, 57% men), few (4%) did not have any of the 18 chronic conditions, whereas nearly one-quarter of controls (23%) did not have any chronic conditions. Clustering of cardiometabolic conditions was common in both AF patients and controls, but clustering of other somatic conditions was more common in AF. Although the prevalence of most condition pairs was higher in AF patients, controls had a larger number of condition pairs occurring together beyond chance. In persons aged <65 years, AF patients more frequently exhibited concordance of condition pairs that included either pairs of somatic conditions or a combination of conditions from different condition groups. In persons aged 65-74 years, AF patients more frequently had pairs of other somatic conditions. Conclusion: Patterns of co-existing conditions differed between patients with AF and controls, particularly in younger ages. A better understanding of the clinical consequences of multimorbidity in AF patients, including those diagnosed at younger ages, is needed.

Indexed as

Atrial fibrillationchronic conditionsmultimorbidity

Identifiers

PMID39712398
PMCPMC11663275

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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.