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Talmadge E. King

Researcher at University of California, San Francisco

Publications -  215
Citations -  48569

Talmadge E. King is an academic researcher from University of California, San Francisco. The author has contributed to research in topics: Idiopathic pulmonary fibrosis & Interstitial lung disease. The author has an hindex of 88, co-authored 214 publications receiving 43290 citations. Previous affiliations of Talmadge E. King include National Jewish Health & University of California.

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Pathologic and immunologic alterations in early stages of beryllium disease. Re-examination of disease definition and natural history.

TL;DR: It is concluded that use of fiberoptic bronchoscopy with transbronchial biopsy and BAL facilitates diagnosis of beryllium workers who have histopathologic and immunologic alterations consistent with chronic beryLLium disease.
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6-Minute walk distance is an independent predictor of mortality in patients with idiopathic pulmonary fibrosis.

TL;DR: The addition of 6MWD to the clinical prediction model improves model discrimination compared with the original model and independently predict mortality in IPF and improve performance of previousclinical prediction model.
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Combined Corticosteroid and Cyclophosphamide Therapy Does Not Alter Survival in Idiopathic Pulmonary Fibrosis

TL;DR: The data suggest that combined corticosteroid and cyclophosphamide therapy has no impact on survival in patients with IPF, and supports the evolving concept that chronic inflammation plays a minimal role in the progression of IPF.
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Respiratory bronchiolitis-associated interstitial lung disease: radiologic features with clinical and pathologic correlation.

TL;DR: The radiographic and CT findings in patients with respiratory bronchiolitis-associated interstitial lung disease (RB-ILD) are centrilobular nodules, ground-glass opacity, and air trapping, which may differentiate RB-ILD from other interstitial Lung diseases.
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Relative versus absolute change in forced vital capacity in idiopathic pulmonary fibrosis

TL;DR: Using the relative change in FVC maximises the chance of identifying a ≥10% decline in F VC without sacrificing prognostic accuracy, and has important implications for clinical practice and the design of clinical trials.