The diagnostic odds ratio: a single indicator of test performance.

By A. Glas, J. Lijmer, M. Prins, G. Bonsel, Patrick M. M. Bossuyt. Journal of Clinical Epidemiology, 2003

2,232 citations recorded by the source corpus.

Subfields: Law

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Citations in the corpus

Elastography for the diagnosis of severity of fibrosis in chronic liver disease: a meta-analysis of diagnostic accuracy. (2011, methodology): “We computed the diagnostic odds ratio (DOR) as a single indicator of elastography performance in each study and disease stage [10].”
Evaluation Measures for Models Assessment over Imbalanced Data Sets (2013, methodology): “Youden’s index has been conventionally used to evaluate tests diagnostic [9] [1], improve efficiency of Telemedical prevention [45]”
Bivariate analysis of sensitivity and specificity produces informative summary measures in diagnostic reviews. (2005, methodology): “The sROC approach converts each pair sensitivity and specificity into a single measure of accura the diagnostic odds ratio [19].”
Predictive validity performance indicators in violence risk assessment: a methodological primer. (2013, background): “The DOR is the ratio of the odds of a high risk classi ﬁ cation in the violent group (i.e., the odds of a true positive) relative to the odds of a high risk classi ﬁ cation in the non-violent group (i.e., the odds of a false positive; Glas, Lijmer, Prins, Bonsel, & Bossuyt, 2003).”
Screening for Depression in Medical Settings with the Patient Health Questionnaire (PHQ): A Diagnostic Meta-Analysis (2007, methodology): “We also calculated the diagnostic odds ratio (DOR): the ratio of the odds of a positive test among those with the disorder to the odds of a positive result among those without the disorder.(13,24) This is the recommended metric in diagnostic meta-analyses.”
Diabetes Prediction Using Ensembling of Different Machine Learning Classifiers (2020, background): “Sensitivity (Sn), Specificity (Sp), Precision (Pr), False Omission Rate (FOR), and Diagnostic Odds Ratio (DOR) [37] has been reported.”
Calibration of computational tools for missense variant pathogenicity classification and ClinGen recommendations for PP3/BP4 criteria (2022, background): “…and deﬁne strengths of evidence in a quantitative framework, these were mapped to odds ratios of pathogenicity or positive likelihood ratios, 35 as in Tavtigian et al., 9 so that the posterior probability of combined evidence listed in the ACMG/AMP recommendations for a likely pathogenic…”
The 2019 American College of Rheumatology/European League Against Rheumatism classification criteria for IgG4-related disease (2019, neutral): “(positive likelihood ratio/negative likelihood ratio) (25).”
A systematic review of tests predicting ovarian reserve and IVF outcome. (2006, background): “…estimate of the test accuracy and clinical value based on all present evidence, after assessing the quality of the included studies and evaluating the variation in findings among the studies (Irwig et al ., 1995; Deeks, 2001; Deville et al ., 2002; Honest and Khan, 2002; Glas et al ., 2003).”
Predicting the Big 5 personality traits from digital footprints on social media: A meta-analysis (2018, methodology): “…predicted values (NPV), or when studies provided enough information for computing these statistics, we used this information to compute odds-ratios (Glas, Lijmer, Prins, Bonsel, & Bossuyt, 2003), then converted odds-ratios into Cohen's d (Borenstein, Hedges, Higgins, & Rothstein, 2009), and ﬁ…”
Measuring the accuracy of species distribution models: a review (2009, methodology): “OR = n n n Glas et al. (2003) Yule’s Y”
Circulating MicroRNAs as a Novel Class of Diagnostic Biomarkers in Gastrointestinal Tumors Detection: A Meta-Analysis Based on 42 Articles (2014, methodology): “The bivariate meta-analysis model was employed to summarize the sensitivity (SEN), specificity (SPE), positive likelihood ratio (PLR), negative likelihood ratio (NLR) and diagnostic odds ratio (DOR) [30,31].”