scholarly journals Utility of the methylated SEPT9 test for the early detection of colorectal cancer: a systematic review and meta-analysis of diagnostic test accuracy

2020 ◽  
Vol 7 (1) ◽  
pp. e000355 ◽  
Author(s):  
Rohit Hariharan ◽  
Mark Jenkins
Keyword(s):  
Colorectal Cancer ◽  
Systematic Review ◽  
Early Detection ◽  
Positive Predictive Value ◽  
Negative Predictive Value ◽  
Diagnostic Test ◽  
Predictive Value ◽  
Meta Analysis ◽  
Test Accuracy ◽  
Sensitivity Specificity

BackgroundCirculating tumour DNA from colorectal cancer (CRC) is a biomarker for early detection of the disease and therefore potentially useful for screening. One such biomarker is the methylated SEPT9 (mSEPT9) gene, which occurs during CRC tumourigenesis. This systematic review and meta-analysis aims to establish the sensitivity, specificity and accuracy of mSEPT9 tests for the early diagnosis of CRC.MethodsA systematic search of the relevant literature was conducted using Medline and Embase databases. Data were extracted from the eligible studies and analysed to estimate pooled sensitivity, specificity and diagnostic test accuracy.ResultsBased on 19 studies, the pooled estimates (and 95% CIs) for mSEPT9 to detect CRC were: sensitivity 69% (62–75); specificity 92% (89–95); positive likelihood ratio 9.1 (6.1–13.8); negative likelihood ratio 0.34 (0.27–0.42); diagnostic OR 27 (15–48) and area under the curve 0.89 (0.86–0.91). The test has a positive predictive value of 2.6% and negative predictive value of 99.9% in an average risk population (0.3% CRC prevalence), and 9.5% (positive predictive value) and 99.6% (negative predictive value) in a high-risk population (1.2% CRC prevalence).ConclusionThe mSEPT9 test has high specificity and moderate sensitivity for CRC and is therefore a potential alternative screening method for those declining faecal immunochemical test for occult blood (FIT) or other screening modalities. However, it is limited by its poor diagnostic performance for precancerous lesions (advanced adenomas and polyps) and its relatively high costs, and little is known about its acceptability to those declining to use the FIT.

scholarly journals Psychometric Properties of Measures of substance use: A systematic review and meta-analysis of reliability, validity and diagnostic test accuracy

2019 ◽  
Author(s):  
Glenn-Milo Santos ◽  
Steffanie Strathdee ◽  
Nabila El-Bassel ◽  
Poonam Patel ◽  
Divya Subramanian ◽  
...  
Keyword(s):  
Systematic Review ◽  
Substance Use ◽  
Positive Predictive Value ◽  
Psychometric Properties ◽  
Negative Predictive Value ◽  
Predictive Value ◽  
Meta Analysis ◽  
The United States ◽  
Test Accuracy ◽  
Sensitivity Specificity

Abstract Background Synthesis of psychometric properties of substance use measures to identify patterns of use and substance use disorders remains limited. To address this gap, we sought to systematically evaluate the psychometric properties of measures to detect substance use and misuse. Methods We conducted a systematic review and meta-analysis of literature on measures of substance classes associated with HIV risk (heroin, methamphetamine, cocaine, ecstasy, alcohol) that were published in English before June 2016 that reported at least one of the following psychometric outcomes of interest: internal consistency (alpha), test-retest/inter-rater reliability (kappa), sensitivity, specificity, positive predictive value, and negative predictive value. We used meta-analytic techniques to generate pooled summary estimates for these outcomes using random effects and hierarchical logistic regression models. Results Findings across 387 paper revealed that overall, 65% of pooled estimates for alpha were in the range of fair-to-excellent; 44% of estimates for kappa were in the range of fair-to-excellent. In addition, 69%, 97%, 37% and 96% of pooled estimates for sensitivity, specificity, positive predictive value, and negative predictive value, respectively, were in the range of moderate-to-excellent. Conclusion We conclude that many substance use measures had pooled summary estimates that were at the fair/moderate-to-excellent range across different psychometric outcomes. Most scales were conducted in English, within the United States, highlighting the need to test and validate these measures in more diverse settings. Additionally, the majority of studies had high risk of bias, indicating a need for more studies with higher methodological quality.

scholarly journals Psychometric Properties of Measures of substance use: A systematic review and meta-analysis of reliability, validity and diagnostic test accuracy

2020 ◽  
Author(s):  
Glenn-Milo Santos ◽  
Steffanie Strathdee ◽  
Nabila El-Bassel ◽  
Poonam Patel ◽  
Divya Subramanian ◽  
...  
Keyword(s):  
Systematic Review ◽  
Substance Use ◽  
Positive Predictive Value ◽  
Psychometric Properties ◽  
Negative Predictive Value ◽  
Predictive Value ◽  
Meta Analysis ◽  
The United States ◽  
Test Accuracy ◽  
Sensitivity Specificity

Abstract Background Synthesis of psychometric properties of substance use measures to identify patterns of use and substance use disorders remains limited. To address this gap, we sought to systematically evaluate the psychometric properties of measures to detect substance use and misuse. Methods We conducted a systematic review and meta-analysis of literature on measures of substance classes associated with HIV risk (heroin, methamphetamine, cocaine, ecstasy, alcohol) that were published in English before June 2016 that reported at least one of the following psychometric outcomes of interest: internal consistency (alpha), test-retest/inter-rater reliability (kappa), sensitivity, specificity, positive predictive value, and negative predictive value. We used meta-analytic techniques to generate pooled summary estimates for these outcomes using random effects and hierarchical logistic regression models. Results Findings across 387 paper revealed that overall, 65% of pooled estimates for alpha were in the range of fair-to-excellent; 44% of estimates for kappa were in the range of fair-to-excellent. In addition, 69%, 97%, 37% and 96% of pooled estimates for sensitivity, specificity, positive predictive value, and negative predictive value, respectively, were in the range of moderate-to-excellent. Conclusion We conclude that many substance use measures had pooled summary estimates that were at the fair/moderate-to-excellent range across different psychometric outcomes. Most scales were conducted in English, within the United States, highlighting the need to test and validate these measures in more diverse settings. Additionally, the majority of studies had high risk of bias, indicating a need for more studies with higher methodological quality.

scholarly journals Diagnostic Accuracy of Antibody-based Rapid Diagnostic Test in Detecting Coronavirus Disease 2019: Systematic Review

2021 ◽  
Author(s):  
Yanto Tjang ◽  
Tiara Gracienta ◽  
Ryan Herardi ◽  
Frans Santosa ◽  
Taufiq Pasiak
Keyword(s):  
Systematic Review ◽  
Diagnostic Accuracy ◽  
Diagnostic Test ◽  
Rapid Diagnostic Test ◽  
Predictive Value ◽  
Detection Method ◽  
Target Antigen ◽  
Test Accuracy ◽  
Eligibility Criteria ◽  
Sensitivity Specificity

IntroductionThe rapid transmission of Coronavirus disease 2019 (COVID-19) requires a fast, accurate, and affordable detection method. Despite doubts of its diagnostic accuracy, Rapid Diagnostic Test (RDT) is world-widely used in consideration for its practicality. This systematic review aims to determine the diagnostic accuracy of antibody-based RDT in detecting COVID-19.Material and methodsA literature search was carried out on five journal databases using the PRISMA-P 2015 method. We included all studies published up to February 2021. The risk of bias was evaluated using The Joanna Briggs Institute (JBI) Critical Appraisal Checklist for Diagnostic Test Accuracy Studies. Data regarding peer-review status, study design, tests kit information, immunoglobulin class, target antigen, and the number of samples were extracted and tabulated. We estimated the pooled sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) with a 95% confidence interval.ResultsThirty-three studies met the eligibility criteria. The pooled data results showed that the combined detection method of IgM or IgG had the highest sensitivity and NPV, which were 73.41% (95% CI: 72.22-74.57) and 75.34% (95% CI: 74.51-76.16), respectively. The single IgG detection method had the highest specificity and PPV of 96.68% (95% CI: 96.25-97.07) and 95.97% (95% CI: 95.47-96.42%), respectively.ConclusionsAntibody-based RDT is not satisfactory as a primary diagnostic test but has utilities as a screening tool.

scholarly journals Accuracy of Niacin Skin Flush Test for Diagnosing Schizophrenia

2021 ◽  
Vol 27 (1) ◽  
pp. 78-91
Author(s):  
Mohammad Arzanlou ◽  
◽  
Alireza Armanikian ◽  
Omid Saed ◽  
Faramarz Dobakhti ◽  
...  
Keyword(s):  
Positive Predictive Value ◽  
Negative Predictive Value ◽  
Predictive Value ◽  
Biological Marker ◽  
Test Accuracy ◽  
Diagnostic Study ◽  
Healthy Controls ◽  
Evaluation Time ◽  
Concentration Sensitivity ◽  
Sensitivity Specificity

Objectives: This study aims to investigate niacin sensitivity in schizophrenia patients compared to healthy people and examine the accuracy of niacin skin flush test in diagnosing schizophrenia. Methods: This diagnostic study was conducted in 2018 in Zanjan, Iran. Three niacin concentrations (0.001 M, 0.01 M, and 0.1 M) was first applied topically to the skin of 36 schizophrenia patients and 33 healthy controls. Flush responses were evaluated at 10 and 15 min after application. Sensitivity, specificity, Positive Predictive Value (PPV), and Negative Predictive Value (NPV) of the test were measured for each niacin concentration and evaluation time. Results: At 10 min, the highest test accuracy was reported when 0.001 M niacin solution was used (Sensitivity=94%, specificity=50%, PPV= 51%, and NPV= 94%). At 15 min, the highest test accuracy was observed at 0.01 concentration (Sensitivity=52%, specificity=92%, PPV=79%, and NPV=77%). Conclusion: Flush responses to niacin is more impaired in patients with schizophrenia. Therefore, niacin can be considered as a biological marker of schizophrenia and can be used for its diagnosis.

scholarly journals Eotaxins and Their Receptor as Biomarkers of Colorectal Cancer

2021 ◽  
Vol 10 (12) ◽  
pp. 2675
Author(s):  
Monika Zajkowska ◽  
Agnieszka Kulczyńska-Przybik ◽  
Maciej Dulewicz ◽  
Kamil Safiejko ◽  
Marcin Juchimiuk ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Negative Predictive Value ◽  
Predictive Value ◽  
Diagnostic Tests ◽  
Diagnostic Utility ◽  
Healthy Controls ◽  
Serum Concentrations ◽  
Chemiluminescent Microparticle Immunoassay ◽  
Sensitivity Specificity ◽  
Immunoenzymatic Assay

Colorectal cancer (CRC) is one of the most common malignancies. Despite the availability of diagnostic tests, an increasing number of new cases is observed. That is why it is very important to search new markers that would show high diagnostic utility. Therefore, we made an attempt to assess the usefulness of eotaxins, as there are few studies that investigate their significance, in patients with CRC. The study included 80 subjects (CRC patients and healthy volunteers). Serum concentrations of all eotaxins were measured using a multiplexing method (Luminex), while CCR3 was measured by immunoenzymatic assay (ELISA). CRP levels were determined by immunoturbidimetry and classical tumor marker levels (CEA and CA 19-9) and were measured using chemiluminescent microparticle immunoassay (CMIA). The highest usefulness among the proteins tested showed CCR3. Its concentrations were significantly higher in the CRC group than in healthy controls. The diagnostic sensitivity, specificity, positive and negative predictive value, and the area under the ROC curve (AUC) of CCR3 were higher than those of CA 19-9. The maximum values for sensitivity, negative predictive value, and AUC were obtained for a combination of CCR3 and CRP. Our findings suggest the potential usefulness of CCR3 in the diagnosis of CRC, especially in combination with CRP or CEA.

scholarly journals Foundational Statistical Principles in Medical Research: Sensitivity, Specificity, Positive Predictive Value, and Negative Predictive Value

Medicina ◽  
2021 ◽  
Vol 57 (5) ◽  
pp. 503
Author(s):  
Thomas F. Monaghan ◽  
Syed N. Rahman ◽  
Christina W. Agudelo ◽  
Alan J. Wein ◽  
Jason M. Lazar ◽  
...  
Keyword(s):  
Positive Predictive Value ◽  
Negative Predictive Value ◽  
Predictive Value ◽  
Medical Literature ◽  
Disease Prevalence ◽  
Positive Test Result ◽  
Predictive Values ◽  
Sensitivity Specificity ◽  
Test Result ◽  
Test Probability

Sensitivity, which denotes the proportion of subjects correctly given a positive assignment out of all subjects who are actually positive for the outcome, indicates how well a test can classify subjects who truly have the outcome of interest. Specificity, which denotes the proportion of subjects correctly given a negative assignment out of all subjects who are actually negative for the outcome, indicates how well a test can classify subjects who truly do not have the outcome of interest. Positive predictive value reflects the proportion of subjects with a positive test result who truly have the outcome of interest. Negative predictive value reflects the proportion of subjects with a negative test result who truly do not have the outcome of interest. Sensitivity and specificity are inversely related, wherein one increases as the other decreases, but are generally considered stable for a given test, whereas positive and negative predictive values do inherently vary with pre-test probability (e.g., changes in population disease prevalence). This article will further detail the concepts of sensitivity, specificity, and predictive values using a recent real-world example from the medical literature.

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