Open AccessGeneralizability and Transportability of the National Lung Screening Trial Data: Extending Trial Results to Different Populations
Author(s) -
Kosuke Inoue,
William Hsu,
Onyebuchi A. Arah,
Ashley Prosper,
Denise R. Aberle,
Alex A. T. Bui
Publication year - 2021
Publication title -
cancer epidemiology, biomarkers and prevention
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.234
H-Index - 192
eISSN - 1538-7755
pISSN - 1055-9965
DOI - 10.1158/1055-9965.epi-21-0585
Subject(s) - generalizability theory , national lung screening trial , medicine , lung cancer screening , population , randomized controlled trial , clinical trial , confidence interval , lung cancer , statistics , environmental health , mathematics
Randomized controlled trials (RCT) play a central role in evidence-based healthcare. However, the clinical and policy implications of implementing RCTs in clinical practice are difficult to predict as the studied population is often different from the target population where results are being applied. This study illustrates the concepts of generalizability and transportability, demonstrating their utility in interpreting results from the National Lung Screening Trial (NLST).