Evidence map›Paper›PMID 36600196›Full record

ArticleBMC primary care2023

Real-world data in primary care: validation of diagnosis of atrial fibrillation in primary care electronic medical records and estimated prevalence among consulting patients'.

C de Burgos-Lunar, I Del Cura-González, J Cárdenas-Valladolid, P Gómez-Campelo, J C Abánades-Herranz, A López-de Andrés, M Sotos-Prieto, V Iriarte-Campo, M A Salinero-Fort

Open access · goldAbstract read
In one paragraph

Article in BMC primary care, 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
5.3field-weighted citation impact, top 4% 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, 24 citations in OpenAlex.

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  7. Major Cardiovascular and Renal Complications in IgA Vasculitis: Insights from a Federated Health Research Network.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2025
    Article
  8. Sex disparity in referral for catheter ablation for atrial fibrillation.Journal of interventional cardiac electrophysiology : an international journal of arrhythmias and pacing · 2024
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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

9 authors at 7 institutions in 2 countries.

C de Burgos-LunarDepartment of Preventive Medicine, Hospital Universitario Clínico de San Carlos, Madrid, Spain.
I Del Cura-GonzálezResearch Network on Chronicity, Primary Care and Health Promotion -RICAPPS-(RICORS), Madrid, Spain.
J Cárdenas-ValladolidInformation Systems Department, Primary Health Care Management, Madrid, Spain.
P Gómez-CampeloThe Hospital La Paz Institute for Health Research (IdiPAZ), Madrid, Spain.
J C Abánades-HerranzMonovar Health Center, Madrid, Spain.
A López-de AndrésDepartment of Public Health & Maternal and Child Health, Faculty of Medicine, Universidad Complutense de Madrid, Madrid, Spain.
M Sotos-PrietoDepartment of Preventive Medicine and Public health, Universidad Autónoma de Madrid, Madrid, Spain.
V Iriarte-CampoBiosanitary Research and Innovation Foundation of Primary Care (FIIBAP), Madrid, Spain.
M A Salinero-FortResearch Network on Chronicity, Primary Care and Health Promotion -RICAPPS-(RICORS), Madrid, Spain. miguel.salinero@salud.madrid.org.
Hospital La Paz Institute for Health Research · ESBioef - Fundación Vasca de Innovación e Investigación Sanitarias · ESHarvard University · USHospital Clínico San Carlos · ESMadrid Health Service · ESRed de Investigación en Actividades Preventivas y Promoción de la Salud · ESUniversidad Complutense de Madrid · ES

Funding

Instituto de Salud Carlos III PI13/00632
6 · The paper itself

Abstract

backgroundPrimary care electronic medical records contain clinical-administrative information on a high percentage of the population. Before this information can be used for epidemiological purposes, its quality must be verified. This study aims to validate diagnoses of atrial fibrillation (AF) recorded in primary care electronic medical records and to estimate the prevalence of AF in the population attending primary care consultations.

methodsWe performed a cross-sectional validation study of all diagnoses of AF recorded in primary care electronic medical records in Madrid (Spain). We also performed simple random sampling of diagnoses of AF (ICPC-2 code K78) registered by 55 physicians and random age- and sex-matched sampling of the records that included a diagnosis of AF. Electrocardiograms, echocardiograms, and hospital discharge or cardiology clinic reports were matched. Sensitivity, specificity, positive and negative predictive values (PPV and NPV), and overall agreement were calculated using the kappa statistic (κ). The prevalence of AF in the community of Madrid was estimated considering the sensitivity and specificity obtained in the validation. All calculations were performed overall and by sex and age groups.

resultsThe degree of agreement was very high (κ = 0.952), with a sensitivity of 97.84%, specificity of 97.39%, PPV of 97.37%, and NPV of 97.85%. The prevalence of AF in the population aged over 18 years was 2.41% (95%CI 2.39-2.42% [2.25% in women and 2.58% in men]). This increased progressively with age, reaching 16.95% in those over 80 years of age (15.5% in women and 19.44% in men).

conclusionsThe validation results obtained enable diagnosis of AF recorded in primary care to be used as a tool for epidemiological studies. A high prevalence of AF was found, especially in older patients.

Indexed as

Atrial FibrillationAdultAgedAged, 80 and overCross-Sectional StudiesElectronic Health RecordsFemaleHumansMaleMiddle AgedPrevalencePrimary Health CareAtrial fibrillationElectronic health recordsPrevalenceValidation

Identifiers

PMID36600196
PMCPMC9811753
OpenAlexW4313543991

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.