scholarly journals Use of a national identification database to determine the lifetime prognosis in cattle with necrotic laryngitis and the predictive value of venous pCO2

2018 ◽  
Vol 32 (4) ◽  
pp. 1462-1470
Author(s):  
Bart Pardon ◽  
Stefaan Ribbens ◽  
Lien Van Damme ◽  
Lieven Vlaminck ◽  
Ann Martens ◽  
...  
Keyword(s):  
Predictive Value ◽  
National Identification ◽  
Venous Pco2

1423: The Impact of Gleason Score on the Predictive Value of PSA Doubling Time

2007 ◽  
Vol 177 (4S) ◽  
pp. 469-470 ◽  
Author(s):  
Stephen A. Boorjian ◽  
Sameer A. Siddiqui ◽  
Brant A. Inman ◽  
Jeffrey M. Slezak ◽  
R. Jeffrey Karnes ◽  
...  
Keyword(s):  
Gleason Score ◽  
Predictive Value ◽  
Doubling Time ◽  
Psa Doubling Time ◽  
The Impact

1497: Predictive Value of Proliferative Inflammatory Atrophy (PIA) for Prostate Cancer on Repeat Prostate Biopsy

2006 ◽  
Vol 175 (4S) ◽  
pp. 483-483
Author(s):  
Charlie Jung ◽  
Michael S. Cookson ◽  
Matthew J. Putzi ◽  
Sam S. Chang ◽  
Joseph A. Smith ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Prostate Biopsy ◽  
Predictive Value ◽  
Proliferative Inflammatory Atrophy

1712: Predictive Value of 3D Volume Rendered CT for Collecting System Entry Prior to Nephron Sparing Surgery

2005 ◽  
Vol 173 (4S) ◽  
pp. 464-464
Author(s):  
Ithaar H. Derweesh ◽  
Gaspar A. Motta-Ramirez ◽  
Mahesh Gael ◽  
Nancy Obuchowski ◽  
Hazem A. Moneim ◽  
...  
Keyword(s):  
Predictive Value ◽  
Nephron Sparing Surgery ◽  
Nephron Sparing ◽  
3D Volume ◽  
Collecting System

1412: Assessment of a Cleaved Product of E-Cadherin as a Serum Biomarker with Predictive Value for Prostate Cancer

2005 ◽  
Vol 173 (4S) ◽  
pp. 383-383
Author(s):  
Rainer Kuefer ◽  
Matthias D. Hofer ◽  
Christoph Zorn ◽  
Bjoern G. Volkmer ◽  
Juergen E. Gschwend ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Predictive Value ◽  
Serum Biomarker ◽  
E Cadherin

Tissue plasminogen activator as a novel diagnostic aid in acute pulmonary embolism

VASA ◽  
2014 ◽  
Vol 43 (6) ◽  
pp. 450-458 ◽  
Author(s):  
Julio Flores ◽  
Ángel García-Avello ◽  
Esther Alonso ◽  
Antonio Ruíz ◽  
Olga Navarrete ◽  
...  
Keyword(s):  
Pulmonary Embolism ◽  
Negative Predictive Value ◽  
Plasminogen Activator ◽  
Tissue Plasminogen Activator ◽  
Predictive Value ◽  
Acute Pulmonary Embolism ◽  
Enzyme Linked Immunosorbent Assay ◽  
Diagnostic Utility ◽  
Tissue Plasminogen ◽  
D Dimer

Background: We evaluated the diagnostic efficacy of tissue plasminogen activator (tPA), using an enzyme-linked immunosorbent assay (ELISA) and compared it with an ELISA D-dimer (VIDAS D-dimer) in acute pulmonary embolism (PE). Patients and methods: We studied 127 consecutive outpatients with clinically suspected PE. The diagnosis of PE was based on a clinical probability pretest for PE and a strict protocol of imaging studies. A plasma sample to measure the levels of tPA and D-dimer was obtained at enrollment. Diagnostic accuracy for tPA and D-dimer was determined by the area under the receiver operating characteristic (ROC) curve. Sensitivity, specificity, predictive values, and the diagnostic utility of tPA with a cutoff of 8.5 ng/mL and D-dimer with a cutoff of 500 ng/mL, were calculated for PE diagnosis. Results: PE was confirmed in 41 patients (32 %). Areas under ROC curves were 0.86 for D-dimer and 0.71 for tPA. The sensitivity/negative predictive value for D-dimer using a cutoff of 500 ng/mL, and tPA using a cutoff of 8.5 ng/mL, were 95 % (95 % CI, 88–100 %)/95 % (95 % CI, 88–100 %) and 95 % (95 % CI, 88–100 %)/94 %), respectively. The diagnostic utility to exclude PE was 28.3 % (95 % CI, 21–37 %) for D-dimer and 24.4 % (95 % CI, 17–33 %) for tPA. Conclusions: The tPA with a cutoff of 8.5 ng/mL has a high sensitivity and negative predictive value for exclusion of PE, similar to those observed for the VIDAS D-dimer with a cutoff of 500 ng/mL, although the diagnostic utility was slightly higher for the D-dimer.

Getting along at work: The predictive value of communion striving

2008 ◽  
Author(s):  
Blaine Landis ◽  
Corrie Pogson ◽  
Stephanie Pierce
Keyword(s):  
Predictive Value
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