Diagnostic models of the pre-test probability of stable coronary artery disease: A systematic review
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Meilin Liu | Nana Xu | Meilin Liu | Hong Yuan | Xing Liu | Ying Li | Ting He | Xing Liu | Qiaoyu Wu | Hong Yuan | Ying Li | Nana Xu | T. He | Qiaoyu Wu | Ting He
[1] Szilard Voros,et al. Multicenter Validation of the Diagnostic Accuracy of a Blood-Based Gene Expression Test for Assessing Obstructive Coronary Artery Disease in Nondiabetic Patients , 2010, Annals of Internal Medicine.
[2] M. Pencina,et al. Evaluating the added predictive ability of a new marker: From area under the ROC curve to reclassification and beyond , 2008, Statistics in medicine.
[3] M. Heymans,et al. Comparison of different cardiac risk scores for coronary artery disease in symptomatic women: do female-specific risk factors matter? , 2014, European journal of preventive cardiology.
[4] J. Jensen,et al. Paradigm of pretest risk stratification before coronary computed tomography. , 2009, Journal of cardiovascular computed tomography.
[5] F. Harrell,et al. Estimating the likelihood of significant coronary artery disease. , 1983, The American journal of medicine.
[6] Robert Califf,et al. Value of the History and Physical in Identifying Patients at Increased Risk for Coronary Artery Disease , 1993, Annals of Internal Medicine.
[7] I. Elhajj,et al. Diamond-Forrester and Morise risk models perform poorly in predicting obstructive coronary disease in Middle Eastern Cohort. , 2016, International journal of cardiology.
[8] Yeung Yam,et al. A clinical model to identify patients with high-risk coronary artery disease. , 2015, JACC. Cardiovascular imaging.
[9] Jafar Habibi,et al. A data mining approach for diagnosis of coronary artery disease , 2013, Comput. Methods Programs Biomed..
[10] John P A Ioannidis,et al. Comparisons of established risk prediction models for cardiovascular disease: systematic review , 2012, BMJ : British Medical Journal.
[11] Sanjay Kaul,et al. Low diagnostic yield of elective coronary angiography. , 2010, The New England journal of medicine.
[12] Jill Hayden,et al. Evaluation of the Quality of Prognosis Studies in Systematic Reviews , 2006, Annals of Internal Medicine.
[13] V. Lorenzoni,et al. Limitations of Chest Pain Categorization Models to Predict Coronary Artery Disease. , 2015, The American journal of cardiology.
[14] Jianying Ma,et al. Validation of a Novel Clinical Prediction Score for Severe Coronary Artery Diseases before Elective Coronary Angiography , 2014, PloS one.
[15] Hatem Alkadhi,et al. A clinical prediction rule for the diagnosis of coronary artery disease: validation, updating, and extension. , 2011, European heart journal.
[16] J. Jensen,et al. Risk stratification of patients suspected of coronary artery disease: comparison of five different models. , 2012, Atherosclerosis.
[17] A. Morise,et al. Development and validation of a clinical score to estimate the probability of coronary artery disease in men and women presenting with suspected coronary disease. , 1997, The American journal of medicine.
[18] Filippo Cademartiri,et al. Prediction model to estimate presence of coronary artery disease: retrospective pooled analysis of existing cohorts , 2012, BMJ : British Medical Journal.
[19] J. Babb,et al. Assessing coronary disease in symptomatic women by the Morise score. , 2012, Journal of women's health.
[20] G. Diamond,et al. Analysis of probability as an aid in the clinical diagnosis of coronary-artery disease. , 1979, The New England journal of medicine.
[21] Gianmario Sambuceti,et al. A New Integrated Clinical-Biohumoral Model to Predict Functionally Significant Coronary Artery Disease in Patients With Chronic Chest Pain. , 2015, The Canadian journal of cardiology.
[22] Y. Kihara,et al. Development of new risk score for pre-test probability of obstructive coronary artery disease based on coronary CT angiography , 2015, Heart and Vessels.
[23] B. Gersh,et al. ESC guidelines on the management of stable coronary artery disease — addenda The Task Force on the management of stable coronary artery disease of the European Society of Cardiology , 2013 .
[24] O. Pachinger,et al. Sex differences in independent factors associated with coronary artery disease , 2014, Wiener klinische Wochenschrift.
[25] D. Moher,et al. Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. , 2010, International journal of surgery.
[26] E. Nicol,et al. Clinical outcomes when applying NICE guidance for the investigation of recent-onset chest pain to a rapid-access chest pain clinic population , 2014, Heart.
[27] Jeroen J. Bax,et al. 2013 ESC guidelines on the management of stable coronary artery disease: the Task Force on the management of stable coronary artery disease of the European Society of Cardiology. , 2013, European heart journal.
[28] Karel G M Moons,et al. A framework for developing, implementing, and evaluating clinical prediction models in an individual participant data meta‐analysis , 2013, Statistics in medicine.
[29] Michael Green,et al. Comparison between neural networks and multiple logistic regression to predict acute coronary syndrome in the emergency room , 2006, Artif. Intell. Medicine.