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Estimated stroke risk, yield, and number needed to screen for atrial fibrillation detected through single time screening: a multicountry patient-level meta-analysis of 141,220 screened individuals.

dc.contributor.authorLowres, Nicole
dc.contributor.authorOlivier, Jake
dc.contributor.authorChao, Tze-Fan
dc.contributor.authorChen, Shih-Ann
dc.contributor.authorChen, Yi
dc.contributor.authorDiederichsen, Axel
dc.contributor.authorFitzmaurice, David A
dc.contributor.authorGomez-Doblas, Juan Jose
dc.contributor.authorHarbison, Joseph
dc.contributor.authorHealey, Jeff S
dc.contributor.authorHobbs, F D Richard
dc.contributor.authorKaasenbrood, Femke
dc.contributor.authorKeen, William
dc.contributor.authorLee, Vivian W
dc.contributor.authorLindholt, Jes S
dc.contributor.authorLip, Gregory Y H
dc.contributor.authorMairesse, Georges H
dc.contributor.authorMant, Jonathan
dc.contributor.authorMartin, Julie W
dc.contributor.authorMartín-Rioboó, Enrique
dc.contributor.authorMcManus, David D
dc.contributor.authorMuñiz, Javier
dc.contributor.authorMünzel, Thomas
dc.contributor.authorNakamya, Juliet
dc.contributor.authorNeubeck, Lis
dc.contributor.authorOrchard, Jessica J
dc.contributor.authorPerula de Torres, Luis Angel
dc.contributor.authorProietti, Marco
dc.contributor.authorQuinn, F Russell
dc.contributor.authorRoalfe, Andrea K
dc.contributor.authorSandhu, Roopinder K
dc.contributor.authorSchnabel, Renate B
dc.contributor.authorSmyth, Breda
dc.contributor.authorSoni, Apurv
dc.contributor.authorTieleman, Robert
dc.contributor.authorWang, Jiguang
dc.contributor.authorWild, Philipp S
dc.contributor.authorYan, Bryan P
dc.contributor.authorFreedman, Ben
dc.contributor.funderAndalusian Society of Family and Community Medicine (SAMFyC)
dc.contributor.funderEuropean Research Council (ERC9 under the European Union’s Horizon 2020 research and innovation programme
dc.date.accessioned2023-01-25T13:42:11Z
dc.date.available2023-01-25T13:42:11Z
dc.date.issued2019-08-21
dc.description.abstractThe precise age distribution and calculated stroke risk of screen-detected atrial fibrillation (AF) is not known. Therefore, it is not possible to determine the number needed to screen (NNS) to identify one treatable new AF case (NNS-Rx) (i.e., Class-1 oral anticoagulation [OAC] treatment recommendation) in each age stratum. If the NNS-Rx is known for each age stratum, precise cost-effectiveness and sensitivity simulations can be performed based on the age distribution of the population/region to be screened. Such calculations are required by national authorities and organisations responsible for health system budgets to determine the best age cutoffs for screening programs and decide whether programs of screening should be funded. Therefore, we aimed to determine the exact yield and calculated stroke-risk profile of screen-detected AF and NNS-Rx in 5-year age strata. A systematic review of Medline, Pubmed, and Embase was performed (January 2007 to February 2018), and AF-SCREEN international collaboration members were contacted to identify additional studies. Twenty-four eligible studies were identified that performed a single time point screen for AF in a general ambulant population, including people ≥65 years. Authors from eligible studies were invited to collaborate and share patient-level data. Statistical analysis was performed using random effects logistic regression for AF detection rate, and Poisson regression modelling for CHA2DS2-VASc scores. Nineteen studies (14 countries from a mix of low- to middle- and high-income countries) collaborated, with 141,220 participants screened and 1,539 new AF cases. Pooled yield of screening was greater in males across all age strata. The age/sex-adjusted detection rate for screen-detected AF in ≥65-year-olds was 1.44% (95% CI, 1.13%-1.82%) and 0.41% (95% CI, 0.31%-0.53%) for People with screen-detected AF are at elevated calculated stroke risk: above age 65, the majority have a Class-1 OAC recommendation for stroke prevention, and >70% have ≥1 additional stroke risk factor other than age/sex. Our data, based on the largest number of screen-detected AF collected to date, show the precise relationship between yield and estimated stroke risk profile with age, and strong dependence for NNS-RX on the age distribution of the population to be screened: essential information for precise cost-effectiveness calculations.
dc.description.versionSi
dc.identifier.citationLowres N, Olivier J, Chao TF, Chen SA, Chen Y, Diederichsen A, et al. Estimated stroke risk, yield, and number needed to screen for atrial fibrillation detected through single time screening: a multicountry patient-level meta-analysis of 141,220 screened individuals. PLoS Med. 2019 Sep 25;16(9):e1002903.
dc.identifier.doi10.1371/journal.pmed.1002903
dc.identifier.essn1549-1676
dc.identifier.pmcPMC6760766
dc.identifier.pmid31553733
dc.identifier.pubmedURLhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC6760766/pdf
dc.identifier.unpaywallURLhttps://journals.plos.org/plosmedicine/article/file?id=10.1371/journal.pmed.1002903&type=printable
dc.identifier.urihttp://hdl.handle.net/10668/14545
dc.issue.number9
dc.journal.titlePLoS medicine
dc.journal.titleabbreviationPLoS Med
dc.language.isoen
dc.organizationHospital Universitario Reina Sofía
dc.organizationCórdoba
dc.organizationInstituto Maimónides de Investigación Biomédica de Córdoba-IMIBIC
dc.organizationHospital Universitario Virgen de la Victoria
dc.page.number19
dc.provenanceRealizada la curación de contenido 06/09/2024
dc.publisherPublic Library of Science
dc.pubmedtypeJournal Article
dc.pubmedtypeMeta-Analysis
dc.pubmedtypeResearch Support, N.I.H., Extramural
dc.pubmedtypeResearch Support, Non-U.S. Gov't
dc.pubmedtypeResearch Support, U.S. Gov't, Non-P.H.S.
dc.pubmedtypeSystematic Review
dc.relation.projectID648131
dc.relation.publisherversionhttps://dx.plos.org/10.1371/journal.pmed.1002903
dc.rightsAttribution 4.0 International
dc.rights.accessRightsopen access
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectAdult
dc.subjectAged, 80 and over
dc.subjectFemale
dc.subjectMass Screening
dc.subjectPrognosis
dc.subjectSex Factors
dc.subject.decsAccidente cerebrovascular
dc.subject.decsAdulto Joven
dc.subject.decsAnciano
dc.subject.decsElectrocardiografía
dc.subject.decsFactores de edad
dc.subject.decsFactores de riesgo
dc.subject.decsFibrilación atrial
dc.subject.decsHumanos
dc.subject.decsMasculino
dc.subject.decsMedición de riesgo
dc.subject.decsPersona de mediana edad
dc.subject.decsValor predictivo de las pruebas
dc.subject.meshAge Factors
dc.subject.meshAged
dc.subject.meshAtrial Fibrillation
dc.subject.meshElectrocardiography
dc.subject.meshHumans
dc.subject.meshMale
dc.subject.meshMiddle Aged
dc.subject.meshPredictive Value of Tests
dc.subject.meshRisk Assessment
dc.subject.meshRisk Factors
dc.subject.meshStroke
dc.subject.meshYoung Adult
dc.titleEstimated stroke risk, yield, and number needed to screen for atrial fibrillation detected through single time screening: a multicountry patient-level meta-analysis of 141,220 screened individuals.
dc.typeresearch article
dc.type.hasVersionVoR
dc.volume.number16
dspace.entity.typePublication

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