National Heart, Lung, and Blood Institute

2020

The DIGITALIS study consists of 48 files. There are 36 files of three types. These include 12 files which are the data forms (called Baseline.doc, followup.doc, etc.), 11 files of data in SAS data format (called Form01.sd2, Form02.sd2, etc.), and 11 files of data in SAS transport format (called Form01.xpt, Form02.xpt etc.). There are two more .sd2 forms for treatment and status; these two files are also SAS transport files in xpt format. The forms’ files are the original data forms used by the DIG investigators and indicate the original data codes. Note that the FollowUp form file and the Event form file have their data combined into Form02_3.sd2 as well as split into separate files, Form02.sd2 and Form03.sd2. Form02_3.sd2 consists of the data used for the New England Journal of Medicine paper referenced below. Form02.sd2 and Form03.sd2 consist of data that was obtained during post-trial follow-up and so must be used with caution.

Citations in the corpus

• Understanding Asthma Phenotypes, Endotypes, and Mechanisms of Disease (2018, background): “This is in part due to the inverse correlation between sputum/blood eosinophilia ratio and increasing disease severity, especially in steroid-dependent asthmatics [47].”
• ClinPred: Prediction Tool to Identify Disease-Relevant Nonsynonymous Single-Nucleotide Variants. (2018, background): “, 239 unique variants classified as disease causing in HGMD were re-reviewed manually and only 16 unique AD variants and 1 AR variant pair were consistent with a pathogenic or likely pathogenic category.(6) In another study, Bell et al.”