The San Francisco Syncope Rule did not accurately predict serious short-term outcome in patients with syncope
Carpenter
Evid. Based Med. 2009;14:25-25.
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Benefits and pitfalls of pooling datasets from comparable observational studies: combining US and Dutch nursing home studies
van der Steen et al.
Palliat Med 2008;22:750-759.
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When to Use Computed Tomography in Minor Pediatric Head Trauma
Bratton and Paul
AAP Grand Rounds 2008;20:14-15.
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Performance Characteristics of Depression Screening Instruments in Survivors of Acute Myocardial Infarction: Review of the Evidence
Thombs et al.
Psychosomatics 2007;48:185-194.
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Quantifying Risk and Benchmarking Performance in the Adult Intensive Care Unit
Higgins
J Intensive Care Med 2007;22:141-156.
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Linking Surveillance to Action: Incorporation of Real-time Regional Data into a Medical Decision Rule
Fine et al.
J. Am. Med. Inform. Assoc. 2007;14:206-211.
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Clinical Prediction Rule for Identifying Children With Cerebrospinal Fluid Pleocytosis at Very Low Risk of Bacterial Meningitis
Nigrovic et al.
JAMA 2007;297:52-60.
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Comparison of the Canadian CT Head Rule and the New Orleans Criteria in Patients With Minor Head Injury
Stiell et al.
JAMA 2005;294:1511-1518.
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Utility of the Chronic Disease Score and Charlson Comorbidity Index as Comorbidity Measures for Use in Epidemiologic Studies of Antibiotic-resistant Organisms
McGregor et al.
Am J Epidemiol 2005;161:483-493.
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Prospective Validation of a Prediction Model for Isolating Inpatients With Suspected Pulmonary Tuberculosis
Wisnivesky et al.
Arch Intern Med 2005;165:453-457.
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CUGE: A SCREENING INSTRUMENT FOR ALCOHOL ABUSE AND DEPENDENCE IN STUDENTS
Van Den Bruel et al.
Alcohol Alcohol 2004;39:439-444.
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Perioperative myocardial injury: individual and population implications
Howell and Sear
Br J Anaesth 2004;93:3-8.
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Chronic Kidney Disease, Mortality, and Treatment Strategies among Patients with Clinically Significant Coronary Artery Disease
Reddan et al.
J. Am. Soc. Nephrol. 2003;14:2373-2380.
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Adjustment for Comorbidity in Studies on Health Status in ESRD Patients: Which Comorbidity Index to Use?
van Manen et al.
J. Am. Soc. Nephrol. 2003;14:478-485.
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Identification of poor prognostic features among patients requiring mechanical ventilation after hematopoietic stem cell transplantation
Bach et al.
Blood 2001;98:3234-3240.
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Steady-State End-Tidal Alveolar Dead Space Fraction and D-Dimer : Bedside Tests To Exclude Pulmonary Embolism
Rodger et al.
Chest 2001;120:115-119.
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Risk stratification in unstable angina: the role of clinical prediction models
Katz
J Am Coll Cardiol 2000;36:1809-1811.
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Predictive accuracy study: comparing a statistical model to clinicians' estimates of outcomes after coronary bypass surgery
Ivanov et al.
Ann. Thorac. Surg. 2000;70:162-168.
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The Stroke Prognosis Instrument II (SPI-II) : A Clinical Prediction Instrument for Patients With Transient Ischemia and Nondisabling Ischemic Stroke
Kernan et al.
Stroke 2000;31:456-462.
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The Validity of Medical History, Classic Symptoms, and Chest Radiographs in Predicting Pulmonary Tuberculosis: Derivation of a Pulmonary Tuberculosis Prediction Model
Tattevin et al.
Chest 1999;115:1248-1253.
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Ready-Made, Recalibrated, or Remodeled? : Issues in the Use of Risk Indexes for Assessing Mortality After Coronary Artery Bypass Graft Surgery
Ivanov et al.
Circulation 1999;99:2098-2104.
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Assessing the Generalizability of Prognostic Information
Justice et al.
ANN INTERN MED 1999;130:515-524.
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Cardiac Surgical Mortality: Comparison Among Different Additive Risk-Scoring Models in a Multicenter Sample
Pons et al.
Arch Surg 1998;133:1053-1057.
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Development and Prospective Validation of a Clinical Index to Predict Survival in Ambulatory Patients Referred for Cardiac Transplant Evaluation
Aaronson et al.
Circulation 1997;95:2660-2667.
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Use of a Probabilistic Neural Network to Estimate the Risk of Mortality after Cardiac Surgery
Orr
Med Decis Making 1997;17:178-185.
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Prospective Validation of a Decision Rule for the Use of Radiography in Acute Knee Injuries
Stiell et al.
JAMA 1996;275:611-615.
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A Comparison of Four Severity-Adjusted Models to Predict Mortality After Coronary Artery Bypass Graft Surgery
Orr et al.
Arch Surg 1995;130:301-306.
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Decision Rules for the Use of Radiography in Acute Ankle Injuries: Refinement and Prospective Validation
Shell et al.
JAMA 1993;269:1127-1132.
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Validation of Probabilistic Predictions
Miller et al.
Med Decis Making 1993;13:49-57.
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Predicting Postoperative Pulmonary Complications: Is It a Real Problem?
Williams-Russo et al.
Arch Intern Med 1992;152:1209-1213.
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