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Ann Thorac Surg 2006;81:1027
© 2006 The Society of Thoracic Surgeons

Original article: General thoracic

Invited commentary

Thomas A. D'Amico, MD

Duke University Medical Center, Box 3496, Durham, NC 27710

(Email: damic001@mc.duke.edu).

The first 20% of the full text of this article appears below.

The development of a predictive model to improve risk stratification for patients after resection for lung cancer may improve treatment strategies and outcomes in addition to providing better prognostic estimates for patients, families, and physicians. The effectiveness of the model is influenced by practice patterns for surveillance after resection, the frequency and intensity of . . . [Full Text of this Article]






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