Cited by 275Atrial Fibrillation Management and OutcomesCardiovascular Health and Risk FactorsCardiac electrophysiology and arrhythmias

Atrial fibrillation in the Malmö diet and cancer study: a study of occurrence, risk factors and diagnostic validity

Smith, J. Gustav, Platonov, Pyotr G., Hedblad, Bo, Engström, Gunnar, Melander, Olle·2010·European Journal of Epidemiology

Abstract

The validity of atrial fibrillation (AF) diagnoses in national registers for use as endpoints in prospective studies has not been evaluated. We studied the validity of AF diagnoses in Swedish national hospital discharge and cause of death registers and the occurrence of and risk factors for AF in a middle-aged Swedish population using these registers. Our study included the 30,447 individuals(age 44-73) who attended baseline visits in 1991-1996 of the Malmö Diet and Cancer study. Individuals with a first AF diagnosis were identified by record linkage with national registers. A subset of cases was randomly selected for validation by examination of electrocardiograms and patient records. Electrocardiograms were available in 98%of the validation sample (95% definitive AF, 3% no AF).The 2% with ECGs unavailable had probable AF. Baseline AF prevalence was 1.3%, higher in men and increased with age. During 11.2 years of follow-up 1430 first AF diagnoses occurred. Risk factors were age, hypertension, BMI,diabetes, history of heart failure, history of myocardial infarction and, in men but not women, current smoking.The strongest risk factors were history of heart failure(hazard ratio men 4.5, women 8.7) and myocardial infarction(hazard ratio men 2.0, women 1.8). The largest population-attributable risks were observed for hypertension (men 38%, women 34%) and obesity (men 11%, women 10%).In conclusion, case misclassification of AF in national registers is small, indicating feasibility of use in prospective studies. Hypertension and obesity account for large portions of population risk in middle-aged individuals with low prevalence of manifest cardiac disease.

Integrity signals

Registry

Crossref · 10.1007/s10654-009-9404-1

Cites

33 of 33 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

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?

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Smith, J. G., Platonov, P. G., Hedblad, B., Engström, G., & Melander, O.
Affiliations
Lund University (SE)
Corresponding author
Smith, J. Gustav
Venue
European Journal of Epidemiology
Published
2009-11-21
Volume
25
Issue
2
Pages
95-102
ISSN
  • 0393-2990 (ISSN-L)
  • 1573-7284
OpenAlex
W2067408747
Cited by
275
References
33
Citations by year
2026: 6 · 2025: 8 · 2024: 13 · 2023: 12 · 2022: 4 · 2021: 19 · 2020: 24 · 2019: 23 · 2018: 18 · 2017: 25 · 2016: 18 · 2015: 20 · 2014: 25 · 2013: 22 · 2012: 19
FWCI
7.98
Type
journal article
Language
en
Open access
closed
Locations
  • European Journal of Epidemiology (publishedVersion)
  • PubMed (publishedVersion)
  • Lund University Publications (Lund University) (submittedVersion)
Funders
Hjärt-Lungfonden
Topics
  • Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Atrial Fibrillation Management and Outcomes
  • Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiovascular Health and Risk Factors
  • Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiac electrophysiology and arrhythmias
Keywords
atrial fibrillation, diagnostic validity, hospital discharge registry, cause of death register, risk factors, heart failure, myocardial infarction, hypertension, obesity, smoking, diabetes mellitus, middle-aged adults, population attributable risk, Malmö Diet and Cancer Study
MeSH terms
Adult, Aged, Atrial Fibrillation, Diet, Electrocardiography, Female, Humans, Male, Medical Record Linkage, Medical Records, Middle Aged, Neoplasms, Prospective Studies, Registries, Risk Factors, Sweden, Bias, Prevalence, Logistic Models, Age Distribution, Sex Distribution

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