作者
Nicole Lowres, Jake Olivier, Tze-Fan Chao, Shih-Ann Chen, Yi Chen, Axel Diederichsen, David A Fitzmaurice, Juan Jose Gomez-Doblas, Joseph Harbison, Jeff S Healey, FD Richard Hobbs, Femke Kaasenbrood, William Keen, Vivian W Lee, Jes S Lindholt, Gregory YH Lip, Georges H Mairesse, Jonathan Mant, Julie W Martin, Enrique Martin-Rioboo, David D McManus, Javier Muniz, Thomas Muenzel, Juliet Nakamya, Lis Neubeck, Jessica J Orchard, Luis Angel Perula de Torres, Marco Proietti, F Russell Quinn, Andrea K Roalfe, Roopinder K Sandhu, Renate B Schnabel, Breda Smyth, Apurv Soni, Robert Tieleman, Jiguang Wang, Philipp S Wild, Bryan P Yan, Ben Freedman
发表日期
2019/9/25
期刊
PLoS medicine
卷号
16
期号
9
页码范围
e1002903
出版商
Public Library of Science
简介
Background
The 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.
Methods and findings
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 …
引用总数
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