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Evaluation of Survival Outcomes of Endovascular Versus Open Aortic Repair for Abdominal Aortic Aneurysms with a Big Data Approach.
Mei, Hao; Xu, Yaqing; Wang, Jiping; Ma, Shuangge.
Afiliación
  • Mei H; Department of Biostatistics, Yale University, New Haven, CT 06520, USA.
  • Xu Y; Department of Biostatistics, Yale University, New Haven, CT 06520, USA.
  • Wang J; Department of Biostatistics, Yale University, New Haven, CT 06520, USA.
  • Ma S; Department of Biostatistics, Yale University, New Haven, CT 06520, USA.
Entropy (Basel) ; 22(12)2020 Nov 30.
Article en En | MEDLINE | ID: mdl-33265931
Abdominal aortic aneurysm (AAA) is a localized enlargement of the abdominal aorta. Once ruptured AAA (rAAA) happens, repairing procedures need to be applied immediately, for which there are two main options: open aortic repair (OAR) and endovascular aortic repair (EVAR). It is of great clinical significance to objectively compare the survival outcomes of OAR versus EVAR using randomized clinical trials; however, this has serious feasibility issues. In this study, with the Medicare data, we conduct an emulation analysis and explicitly "assemble" a clinical trial with rigorously defined inclusion/exclusion criteria. A total of 7826 patients are "recruited", with 3866 and 3960 in the OAR and EVAR arms, respectively. Mimicking but significantly advancing from the regression-based literature, we adopt a deep learning-based analysis strategy, which consists of a propensity score step, a weighted survival analysis step, and a bootstrap step. The key finding is that for both short- and long-term mortality, EVAR has survival advantages. This study delivers a new big data strategy for addressing critical clinical problems and provides valuable insights into treating rAAA using OAR and EVAR.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Clinical_trials Idioma: En Revista: Entropy (Basel) Año: 2020 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Clinical_trials Idioma: En Revista: Entropy (Basel) Año: 2020 Tipo del documento: Article País de afiliación: Estados Unidos