Evidence map›Paper›PMID 37308273›Full record

ArticleBMJ open2023

Validation of diagnosis of acute myocardial infarction and stroke in electronic medical records: a primary care cross-sectional study in Madrid, Spain (the e-MADVEVA Study).

Carmen de Burgos-Lunar, Isabel Del Cura-Gonzalez, Juan Cárdenas-Valladolid, Paloma Gómez-Campelo, Juan C Abánades-Herranz, Ana Lopez-de-Andres, Mercedes Sotos-Prieto, Victor Iriarte-Campo, Carmen Y Fuentes-Rodriguez, Rafael Gómez-Coronado and 1 more

Abstract read
In one paragraph

Article in BMJ open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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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

11 authors.

Carmen de Burgos-LunarDepartamento Medicina Preventiva, Hospital Clínico San Carlos, Madrid, Comunidad de Madrid, Spain.
Isabel Del Cura-GonzalezNetwork for Research on Chronicity, Primary Care, and Health Promotion (RICAPPS), Instituto de Salud Carlos III, Madrid, Comunidad de Madrid, Spain.ORCID 0000-0002-3931-5304
Juan Cárdenas-ValladolidResearch Support Unit, Primary Health Care Management, Madrid, Madrid, Spain.
Paloma Gómez-CampeloInstitute for Health Research (IdIPAZ), Hospital La Paz, Madrid, Madrid, Spain.
Juan C Abánades-HerranzMonovar Health Centre, Servicio Madrileño de Salud, Madrid, Madrid, Spain.
Ana Lopez-de-AndresDepartment of Public Health and Maternal and Child, Complutense University of Madrid Faculty of Medicine, Madrid, Comunidad de Madrid, Spain.
Mercedes Sotos-PrietoDepartment of Preventive Medicine, Autonoma University, Madrid, Spain.
Victor Iriarte-CampoMADIABETES Research Group, Foundation for Biomedical Research and Innovation in Primary Care of the Community of Madrid, Madrid, Spain.
Carmen Y Fuentes-RodriguezDepartamento Medicina Preventiva, Hospital Clínico San Carlos, Madrid, Comunidad de Madrid, Spain.
Rafael Gómez-CoronadoDepartamento Medicina Preventiva, Hospital Clínico San Carlos, Madrid, Comunidad de Madrid, Spain.
Miguel A Salinero-FortInstitute for Health Research (IdIPAZ), Hospital La Paz, Madrid, Madrid, Spain miguel.salinero@salud.madrid.org.ORCID 0000-0002-9450-4116

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo validate the diagnoses of acute myocardial infarction (AMI) and stroke recorded in electronic medical records (EMR) and to estimate the population prevalence of both diseases in people aged ≥18 years.

designCross-sectional validation study.

setting45 primary care centres.

participantsSimple random sampling of diagnoses of AMI and stroke (International Classification of Primary Care-2 codes K75 and K90, respectively) registered by 55 physicians and random age-matched and sex-matched sampling of the records that included in primary care EMRs in Madrid (Spain). PRIMARY AND SECONDARY OUTCOME MEASURES: Sensitivity, specificity, positive and negative predictive values and overall agreement were calculated using the kappa statistic. Applied gold standards were ECGs, brain imaging studies, hospital discharge reports, cardiology reports and neurology reports. In the case of AMI, the ESC/ACCF/AHA/WHF Expert Consensus Document was also used. Secondary outcomes were the estimated prevalence of both diseases considering the sensitivity and specificity obtained (true prevalence).

resultsThe sensitivity of a diagnosis of AMI was 98.11% (95% CI, 96.29 to 99.03), and the specificity was 97.42% (95% CI, 95.44 to 98.55). The sensitivity of a diagnosis of stroke was 97.56% (95% CI, 95.56 to 98.68), and the specificity was 94.51% (95% CI, 91.96 to 96.28). No differences in the results were found after stratification by age and sex (both diseases). The prevalence of AMI and stroke was 1.38% and 1.27%, respectively.

conclusionThe validation results show that diagnoses of AMI and stroke in primary care EMRs constitute a helpful tool in epidemiological studies. The prevalence of AMI and stroke was lower than 2% in the population aged over 18 years.

Indexed as

Myocardial InfarctionStrokeAdolescentAdultCross-Sectional StudiesElectronic Health RecordsHumansMiddle AgedPatient DischargeSpainEPIDEMIOLOGYMyocardial infarctionPRIMARY CAREStroke

Identifiers

PMID37308273
PMCPMC10277046

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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.