Sample selection and gold standard testing for a proper group comparison

Author(s):  
Sara Gasparini ◽  
Edoardo Ferlazzo ◽  
Damiano Branca ◽  
Umberto Aguglia

2016 ◽  
Vol 95 (3) ◽  
pp. 531-536 ◽  
Author(s):  
Suneth B. Agampodi ◽  
Niroshan J. Dahanayaka ◽  
Karsten Nöckler ◽  
Anne Mayer-Scholl ◽  
Joseph M. Vinetz


2020 ◽  
pp. S329-S337
Author(s):  
T. GRIMMICHOVÁ ◽  
P. PAČESOVÁ ◽  
L. SRBOVÁ ◽  
J. VRBÍKOVÁ ◽  
T. HAVRDOVÁ ◽  
...  

The aim of this prospective study was the validation of the risk stratification of thyroid nodules using ultrasonography with the American College of Radiology Thyroid Imaging, Reporting and Data System (ACR TI-RADS) and partly in comparison to American Thyroid Association (ATA) guidelines in a secondary referral center. Fine needle aspiration biopsy (FNA) (n=605) and histological examinations (n=63) were the reference standards for the statistical analysis. ACR TI-RADS cut-off value: TR4 with sensitivity 85.7 %, specificity 54.1 %, PPV 58.5 %, accuracy 67.7 % (AUC 0.738; p<0.001). ATA cut-off value: “high suspicion” with sensitivity 80 %, specificity 83.3 %, PPV 80 %, accuracy 81.8 % (AUC 0.800; p=0.0025). 18.4 % nodules (3 malignant) could not be assigned to a proper ATA US pattern group (p<0.0001). Both ACR TI-RADS and ATA have allowed fair selection of nodules requiring FNA with superiority of ACR TI-RADS according to classification of all thyroid nodules to the proper group. According to ACR TI-RADS almost one third of the patients were incorrectly classified with 17.9 % missed thyroid carcinomas, exclusively micropapillary carcinomas, even though, the amount of FNA would be reduced to 48 %.



2006 ◽  
Vol 76 (4) ◽  
pp. 557-563 ◽  
Author(s):  
BETTY STERNBERG

In this essay, Betty J. Sternberg argues that the increased money and time spent on meeting the summative testing requirements of the No Child Left Behind Act (NCLB) adds little to the existing "gold standard" testing conducted by the State of Connecticut. Sternberg highlights the challenges faced by one state in meeting the requirements of NCLB: She identifies the diversion of multiple resources, the limited usefulness of summative testing, and the inability of testing companies to meet increased demands as impediments to improving student achievement. Using Connecticut's program-focused accountability model, Sternberg posits that the right combination of formative testing in conjunction with summative testing and supplementary programming ensures the academic success of all students.



2020 ◽  
Vol 6 (6) ◽  
pp. 309-310 ◽  
Author(s):  
Amit Varma ◽  
◽  
Muneer Abubaker ◽  
Ismail Dergaa ◽  
◽  
...  

With over 36 million people infected with COVID-19 since the beginning of the pandemic, testing has been most challenging process to identify and isolate individuals who are COVID-positive. The RT-PCR testing method has been the gold standard testing tool with a sensitivity and specificity of 95.2% and 98.9% respectively. However, this comes at a huge cost of the stress and anxieties of the testing process itself, especially for children as well as the requirements of health care professionals with PPE kits and the dangers of an aerosol generating procedure. We hence recommend the saliva testing kits as the suggested way forward to testing for the general population, especially for children, as they are highly sensitive and specific (98% and 91% respectively) as well as can be a much effortless process to test for COVID-19 and could certainly pave the way forward to mass testing as some countries are already planning to implement.



2013 ◽  
Vol 108 (504) ◽  
pp. 1173-1188 ◽  
Author(s):  
Tao Liu ◽  
Joseph W. Hogan ◽  
Lisa Wang ◽  
Shangxuan Zhang ◽  
Rami Kantor


2018 ◽  
Vol 3 (6) ◽  
pp. 77-82
Author(s):  
Gail D. Chermak ◽  
Vivian Iliadou ◽  
Doris-Eva Bamiou ◽  
Frank E. Musiek


2005 ◽  
Vol 173 (4S) ◽  
pp. 378-378
Author(s):  
Arthur C. Pinto
Keyword(s):  


2004 ◽  
Vol 171 (4S) ◽  
pp. 469-469 ◽  
Author(s):  
John S. Lam ◽  
Oleg Shvarts ◽  
Mehrdad Alemozaffarder ◽  
Hyung L. Kim ◽  
He-jing Wang ◽  
...  


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