Assessing the volume-outcome relationship of carotid artery stenting in nationwide administrative data: a challenge of patient population bias.
Stefan W KoesterTyler S ColeAnna R KimataKevin L MaDimitri BennerJoshua S CatapanoKavelin RumallaMichael T LawtonAndrew F DucruetFelipe C AlbuquerquePublished in: Journal of neurointerventional surgery (2022)
In 1:1 nearest-neighbor matching with a high number of patients, our analysis did not result in well-matched cohorts for the effect of case volume on outcomes. Comparing analytical techniques for various outcomes highlights that outcome disparities may not be related to quality differences based on hospital size, but rather variability in patient populations between low- and high-volume institutions.
Keyphrases
- end stage renal disease
- case report
- chronic kidney disease
- newly diagnosed
- ejection fraction
- healthcare
- prognostic factors
- electronic health record
- type diabetes
- emergency department
- adipose tissue
- mass spectrometry
- machine learning
- antiplatelet therapy
- patient reported outcomes
- metabolic syndrome
- acute coronary syndrome
- liquid chromatography
- glycemic control
- patient reported
- artificial intelligence
- insulin resistance
- affordable care act