JACC. Cardiovascular imaging · 2017
Outcomes-Based CV Imaging Research Endpoints and Trial Design: From Pixels to Patient Satisfaction.
СтатьяОбзорНазвание и аннотация: Перевод пока не подготовлен
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…
Ошибки и ограничения
История · было → стало
Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.
Fordyce Christopher B, Douglas Pamela S
Аннотация
The categories and quality of evidence documenting the value of noninvasive cardiovascular imaging have evolved substantially over the last several decades. From an initial emphasis on the diagnostic accuracy of various imaging modalities, cardiovascular imaging has matured into an outcomes-based field that now provides evidence on adverse events, safety, cost, and patient quality-of-life endpoints, and does so in the setting of large randomized trials. This review aims to highlight types of outcomes endpoints, including updating the hierarchy of evidence for diagnostic imaging as first proposed by Fryback and Thornbury, and critically reviewing their application in the current cardiovascular imaging evidence base. We describe the range of data categories generated to date for the various imaging modalities, and indicate how this provides insights into contemporary study design and future directions in cardiovascular imaging outcomes research.
Предметные рубрики MeSH
Cardiac Imaging TechniquesCardiovascular DiseasesClinical Trials as TopicCost-Benefit AnalysisEndpoint DeterminationEvidence-Based MedicineHealth Care CostsHumansImage Interpretation, Computer-AssistedPatient SatisfactionPractice Guidelines as TopicPredictive Value of TestsPrognosisReproducibility of ResultsResearch Design