Academic Emergency Medicine · 2005 · 48 citations · 22 references
MedicineClinical SciencesEmergency MedicineClinical Decision SupportDiagnostic ReasoningPulmonologyDiagnostic EvaluationDiagnostic Test EvaluationPulmonary AssessmentPulmonary EmbolismClinical Decision RulesClinical Prediction RulesDecision RulesGestalt PrinciplesPretest MeasurementPretest Risk EstimationProbability EstimationPulmonary Embolism Risk Stratification
Objectives: Clinical decision rules have been validated for estimation of pretest probability in patients with suspected pulmonary embolism (PE). However, many clinicians prefer to use clinical gestalt for this purpose. The authors compared the unstructured clinical estimate of pretest probability for PE with two clinical decision rules. Methods: This prospective, observational study was conducted from October 2001 to July 2004 at an urban academic emergency department with an annual census of 105,000. A total of 2,603 patients were enrolled; mean age (± SD) was 45 (± 16) years, and 70% were female. All patients were evaluated for PE using a previously published protocol, including D-dimer and alveolar dead space measurements, and selected use of pulmonary vascular imaging. All had 45-day follow-up. Interobserver agreement for each pretest probability estimation method was measured in a separate group of 154 patients. Results: The overall prevalence of PE was 5.8% (95% confidence interval [CI] = 4.9% to 6.8%). Most were deemed low risk for PE, including 69% by the unstructured estimate < 15%, 73% by the Canadian score < 2, and 88% by the Charlotte rule “safe.” The corresponding prevalence of disease in each of these low-risk groups was 2.6%, 3.0%, and 4.2%. Weighted Cohen's κ values were 0.60 (95% CI = 0.46 to 0.74) for the unstructured clinical estimate < 15%, 0.47 (95% CI = 0.33 to 0.61) for the Canadian score < 2, and 0.85 (95% CI = 0.69 to 1.0) for the Charlotte rule “safe.”Conclusions: The unstructured clinical estimate of low pretest probability for PE compares favorably with the Canadian score and the Charlotte rule. Interobserver agreement for the unstructured estimate is moderate.
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The Measurement of Observer Agreement for Categorical Data
J. Richard Landis, Gary G. Koch · Biometrics · 1977 · 78.9K citations · Full text
Philip S. Wells, David R. Anderson, Marc Rodger et al. · Annals of Internal Medicine · 2001 · 1.4K citations
Assessing clinical probability of pulmonary embolism in the emergency ward: a simple score.
J Wicki, Thomas Perneger, Alain Junod et al. · PubMed · 2001 · 587 citations