Code-based Diagnostic Algorithms for Idiopathic Pulmonary Fibrosis. Case Validation and Improvement-Reference-Cited by-同舟云学术

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Code-based Diagnostic Algorithms for Idiopathic Pulmonary Fibrosis. Case Validation and Improvement

Published:2017-06 Issue:6 Volume:14 Page:880-887
ISSN:2329-6933
Container-title:Annals of the American Thoracic Society
language:en
Short-container-title:Annals ATS

Author:

Ley Brett¹,Urbania Thomas²,Husson Gail³,Vittinghoff Eric⁴,Brush David R.⁵,Eisner Mark D.⁶,Iribarren Carlos³,Collard Harold R.¹

Affiliation:

1. Department of Medicine and

2. Department of Radiology and

3. Division of Research, Kaiser Permanente Northern California, Oakland, California

4. Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, California

5. Department of Pulmonary and Critical Care Medicine, Kaiser Permanente, Walnut Creek, California; and

6. Genentech, Inc., South San Francisco, California

Publisher

American Thoracic Society

Subject

Pulmonary and Respiratory Medicine

Link

http://www.atsjournals.org/doi/pdf/10.1513/AnnalsATS.201610-764OC

Reference15 articles.

1. An Official ATS/ERS/JRS/ALAT Statement: Idiopathic Pulmonary Fibrosis: Evidence-based Guidelines for Diagnosis and Management

2. Global incidence and mortality of idiopathic pulmonary fibrosis: a systematic review

3. Idiopathic pulmonary fibrosis in US Medicare beneficiaries aged 65 years and older: incidence, prevalence, and survival, 2001–11

4. Incidence and Prevalence of Idiopathic Pulmonary Fibrosis

5. Idiopathic Pulmonary Fibrosis in United States Automated Claims. Incidence, Prevalence, and Algorithm Validation

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