Bias estimation in study design: a meta-epidemiological analysis of transcatheter versus surgical aortic valve replacement.
Saerom YounShannon Avery WongCaitlin ChrystojaGeorge TomlinsonHarindra C WijeysunderaChaim M BellAnna R GagliardiNancy N BaxterJulie TakataLakhbir SandhuDavid Robert UrbachPublished in: BMC surgery (2021)
Studies with different attributes produce different estimates of treatment effects. Study design attributes related to the completeness of follow-up may explain biased treatment estimates in nonrandomized studies, as in the case of aortic valve replacement where high-risk patients were preferentially selected for the newer (transcatheter) procedure.
Keyphrases
- aortic valve replacement
- aortic stenosis
- transcatheter aortic valve implantation
- aortic valve
- ejection fraction
- end stage renal disease
- newly diagnosed
- chronic kidney disease
- transcatheter aortic valve replacement
- prognostic factors
- minimally invasive
- case control
- coronary artery disease
- atrial fibrillation
- drug induced