1. Characterization and Importance of Air Leak After Lobectomy
Ikenna Okereke, MD, Sudish C. Murthy, MD, PhD, Joan M. Alster, MS, Eugene H. Blackstone, MD, Thomas W. Rice, MD 
The Annals of Thoracic Surgery 
Volume 79, Issue 4, Pages (April 2005)
DOI: /j.athoracsur
Copyright © 2005 The Society of Thoracic Surgeons Terms and Conditions

2. Fig 1
Decrease in percentage of patients experiencing air leaks across experience. Graph is a nomogram of the multivariable logistic equation of Table 4, with the equation solved for surgeon C = “no.” Dashed lines enclose 68% confidence limits of the estimates, equivalent to 1 standard error. ● and ○ = raw data frequencies by year. (LLL = left lower lobectomy.)
The Annals of Thoracic Surgery  , DOI: ( /j.athoracsur )
Copyright © 2005 The Society of Thoracic Surgeons Terms and Conditions

3. Fig 2
Duration of air leak among 186 patients. (A) Percentage of patients with air leak. Circles represent nonparametric (Kaplan-Meier) estimates, and vertical bars are 68% confidence limits, equivalent to one standard error. Numbersin parentheses represent patients with air leak. Solid line is parametric estimate enclosed within 68% confidence limits. (B) Probability density function, showing percentage of patients whose air leak had ceased.
The Annals of Thoracic Surgery  , DOI: ( /j.athoracsur )
Copyright © 2005 The Society of Thoracic Surgeons Terms and Conditions

4. Fig 3
Duration of postoperative stay in propensity-matched patients with (- - -) and without (—) air leak. Graph is a cumulative distribution function.
The Annals of Thoracic Surgery  , DOI: ( /j.athoracsur )
Copyright © 2005 The Society of Thoracic Surgeons Terms and Conditions