Evidence map›Paper›PMID 36502953›Full record

ArticleThe American journal of medicine2023

Predicting Alzheimer's Disease and Related Dementias in Heart Failure and Atrial Fibrillation.

Sheila M Manemann, Alanna M Chamberlain, Suzette J Bielinski, Ruoxiang Jiang, Susan A Weston, Véronique L Roger

Open access · greenAbstract read
In one paragraph

Article in The American journal of medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.1field-weighted citation impact, top 11% 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

11 citing papers in PubMed, 14 citations in OpenAlex.

  1. New Genetic Associations Between Alzheimer's Disease and Its Key Risk Factors.Psychogeriatrics : the official journal of the Japanese Psychogeriatric Society · 2026
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  9. Early prediction of Alzheimer's disease and related dementias using real-world electronic health records.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2023
    Article
  10. Ablation of atrial fibrillation and dementia risk reduction during long-term follow-up: a nationwide population-based study.Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology · 2023
    Article
  11. Comparing Lookback Periods to Ascertain Alzheimer's Disease and Related Dementias.American journal of Alzheimer's disease and other dementias
    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

6 authors at 2 institutions in 1 country.

Sheila M ManemannDepartment of Quantitative Health Sciences, Mayo Clinic, Rochester, MN. Electronic address: Manemann.sheila@mayo.edu.
Alanna M ChamberlainDepartment of Quantitative Health Sciences, Mayo Clinic, Rochester, MN.
Suzette J BielinskiDepartment of Quantitative Health Sciences, Mayo Clinic, Rochester, MN.
Ruoxiang JiangDepartment of Quantitative Health Sciences, Mayo Clinic, Rochester, MN.
Susan A WestonDepartment of Quantitative Health Sciences, Mayo Clinic, Rochester, MN.
Véronique L RogerDepartment of Quantitative Health Sciences, Mayo Clinic, Rochester, MN; Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN; Division of Intramural Research, National Heart Lung and Blood Institute, National Institutes of Health, Bethesda, MD.
Mayo Clinic in Florida · USNational Institutes of Health · US

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
Interdisciplinary Infrastructure for Aging Research: Rochester Epidemiology ProjectR21AG058738 · NIA · MAYO CLINIC ROCHESTER · PI LEBRASSEUR, NATHAN K, OLSON, JANET E · 2018 to 2019
$437k
Dementia and Heart Failure in the CommunityR21AG064804 · NIA · MAYO CLINIC ROCHESTER · PI CHAMBERLAIN, ALANNA M · 2019 to 2020
$437k
NIA NIH HHS R21 AG058738NIA NIH HHS R21 AG064804NIA NIH HHS R33 AG058738
6 · The paper itself

Abstract

backgroundThe Framingham Heart Study Dementia Risk Score (FDRS) was developed in a general population of older persons. It is unknown how the FDRS variables predict Alzheimer's disease and Alzheimer's disease-related dementias (AD/ADRD) in heart failure and atrial fibrillation populations. We aimed to evaluate the predictive ability of the FDRS variables in population-based cohorts of heart failure and atrial fibrillation and to determine whether the addition of other comorbidities and risk factors improves risk prediction for AD/ADRD.

methodsResidents aged ≥50 years from 7 southeastern Minnesota counties with a first diagnosis of heart failure or atrial fibrillation between January 1, 2013, and December 31, 2017, were identified. Patients with AD/ADRD before or within 6 months after index atrial fibrillation or heart failure and patients who died within 6 months after index were excluded. For both cohorts, models were constructed to predict AD/ADRD after index including the variables in the FDRS. Additional comorbidities and risk factors were added to the models. For all models, c-statistics using 5-fold cross-validation were calculated.

resultsAmong 3052 patients with heart failure (mean age 75 years, 53% male), 626 developed AD/ADRD; among 4107 patients with atrial fibrillation (mean age 74 years, 57% male), 736 developed AD/ADRD. Among patients with heart failure, the FDRS variables predicted AD/ADRD with c-statistic = 0.69. Adding comorbidities and risk factors improved the c-statistic slightly to 0.70. The FDRS variables also performed well (c-statistic = 0.73) in patients with atrial fibrillation; adding comorbidities and risk factors slightly improved performance (c-statistic = 0.75).

conclusionsThe variables from the FDRS predict AD/ADRD well in both heart failure and atrial fibrillation populations. The addition of comorbidities and risk factors only modestly improved prediction, indicating that the FDRS variables are appropriate to predict AD/ADRD in patients with heart failure and atrial fibrillation.

Indexed as

Alzheimer DiseaseAtrial FibrillationHeart FailureAgedAged, 80 and overComorbidityFemaleHumansLongitudinal StudiesMaleAlzheimer's diseaseAlzheimer's disease-related dementiasAtrial fibrillationHeart failure

Identifiers

PMID36502953
PMCPMC9957820
OpenAlexW4311091239

What OpenQuestion holds

Textmetadata
LicenceTDM
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.