Sentences with phrase «negative predictive value»

The researchers found that with application of a low troponin I cutoff value of 6 ng / L, the rule - out algorithm showed a high negative predictive value of 99.8 percent after 1 hour for AMI, allowing for accurate and rapid exclusion of AMI.

«Blood test can effectively rule out breast cancer, regardless of breast density: With over a 99 percent negative predictive value, a liquid biopsy test can help clinicians manage difficult - to - diagnose dense breast patients.»

said Judith K. Wolf, MD, Chief Medical Officer of Provista Diagnostics, Inc. «This study shows that, with an over 99 percent negative predictive value (NPV), clinicians can confidently use Videssa Breast to detect cancer in women with dense breasts and better determine when biopsy is truly warranted to assess suspicious findings.»

The negative predictive value is a score of less than 0.35 for peanuts.

The strongest predictors of respiratory distress were maximal volume > 24.0 cm (3) by MRI (100 % sensitivity, 91 % specificity, 60 % positive predictive value, and 100 % negative predictive value) and maximal volume > 34.0 cm (3) by US (100 % sensitivity, 85 % specificity, 54 % positive predictive value, and 100 % negative predictive value).

The negative predictive value of skin prick test / specific IgE for immediate reaction is excellent (> 95 %)[15], however a small number of these patients can have clinical reaction.

In the present study the authors found that the negative predictive value of SB100 is 99.6 %, and they «conclude that S100B levels below 0.105 µg / L can accurately predict a normal CCT scan after MHI in older patients and those on antiplatelet medication.»

Just as important, the negative predictive value — the percentage of patients without ARMD who had ion levels below the threshold — was 93 to 97 percent across groups.

This finding supports the negative predictive value of using PET imaging to identify patients unlikely to decline, which has important implications for both clinical research and treatment.

The Positive Predictive Value (PPV) was 95.8 %, and the Negative Predictive Value (NPV) 99.2 %.

This gives a negative predictive value of 8455/8820 = 95.86 %.

Sensitivity, specificity, and positive and negative predictive values of the EPDS at various cut points.

The goals were to estimate the prevalence of parental depressive symptoms among parents at a pediatric primary care clinic and to evaluate the stability, sensitivity, specificity, and positive and negative predictive values of a very brief screen for parental depression.

When a positive response to either or both of the 2 questions was considered, the sensitivity was 74 %, the specificity was 80 %, the positive predictive value was 36 %, and the negative predictive value was 95 %.

Negative predictive value: the proportion of people who score negative on the test who actually do not have the disorder.

Key Question # 1 (accuracy of screening tools): Studies on the accuracy of screening tools will be included if they compared a screening instrument with a valid criterion standard, defined as a DSM diagnosis of MDD or an ICD diagnosis of depressive episode based on a validated diagnostic interview procedure, and if they reported data allowing determination of sensitivity and specificity, positive predictive value, and negative predictive value.

The objectives were a) to assess the classification accuracy of the CAGI (sensitivity, specificity, positive and negative predictive values) for detecting problem gambling as confirmed by clinical assessment; and b) to compare the CAGI with existing instruments for youth problem gambling (convergent validity).