Determining pretest probability of DVT: Clinical intuition vs. Validated scoring systems

American Journal of Emergency Medicine

Volumn 21, Issue 2, 2003, Pages 161-162

  Smithline, Howard A ^a   Mader, Timothy J ^a   Ali, Fahad M N ^a   Cocchi, Michael N ^a  

^a TUFTS UNIVERSITY SCHOOL OF MEDICINE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CARDIOVASCULAR RISK; CLINICAL ARTICLE; CLINICAL OBSERVATION; CONFIDENCE INTERVAL; CONTROLLED STUDY; DEEP VEIN THROMBOSIS; DIAGNOSTIC TEST; EVALUATION; HUMAN; LETTER; PREVALENCE; PRIORITY JOURNAL; PROBABILITY; SAMPLING; SCALE UP; SCORING SYSTEM; STATISTICAL ANALYSIS; STATISTICAL SIGNIFICANCE;

EID: 0037352989     PISSN: 07356757     EISSN: None     Source Type: Journal    
DOI: 10.1053/ajem.2003.50065     Document Type: Letter

References (21)

1. Haeger K: Problems of acute deep venous thrombosis: The interpretation of signs and symptoms. Angiology 1969;20:219-223
2. Anand S, Wells P, Hunt D, Brill-Edwards P, Cook D, Ginsberg J: Does this patient have deep vein thrombosis? JAMA 1998;279:1094-1099
3. Anderson D, Wells P, Stiell I, et al: Management of patients with suspected deep vein thrombosis in the emergency department: Combining use of a clinical diagnosis model with D-dimer testing. J Emerg Med 2000;19:225-230
4. Hayden S, Brown M: Likelihood ratio: A powerful tool for incorporating the results of a diagnostic test into clinical decision-making. Ann Emerg Med 1999;33:575-580
5. McAlister F, Straus S, Guyatt G, Haynes R: Users' guides to the medical literature: XX. Integrating research evidence with the care of the individual patient. Evidence-Based Medicine Working Group. JAMA 2000;283:2829-2836
6. Wells P, Hirsh J, Anderson D, et al: Accuracy of clinical assessment of deep-vein thrombosis. Lancet 1995;345:1326-1330
7. Kahn S: The clinical diagnosis of deep venous thrombosis: Integrating incidence, risk factors, and symptoms and signs. Arch Intern Med 1999;158:2315-2323
8. Cabana M, Rand C, Powe N, et al: Why don't physicians follow clinical practice guidelines? A framework for improvement. JAMA 1999;282:1458-1465
9. Kahn S, Joseph L, Abenhaim L, Leclerc J: Clinical prediction of deep vein thrombosis in patients with leg symptoms. Thromb Haemost 1999;81:353-357
10. Wells P, Hirsh J, Anderson D, et al: A simple clinical model for the diagnosis of deep-vein thrombosis combined with impedance plethysmography: Potential for an improvement in the diagnostic process. J Intern Med 1998;243:15-23
11. StataCorp: Stata Statistical Software. College Station, TX: Stata Corporation, 1999
12. Bowker A: A test for symmetry in contingency tables. Journal of the American Statistical Society 1948;43:572-574
13. Anderson D, Wells P, Stiell I, et al: Thrombosis in the emergency department: Use of a clinical diagnosis model to safely avoid the need for urgent radiological investigation. Arch Intern Med 1999;159:477-482
14. Wells P, Anderson D, Bormanis J, et al: Value of assessment of pretest probability of deep-vein thrombosis in clinical management. Lancet 1997;350:1795-1798
15. Miron M, Perrier A, Bounameaux H: Clinical assessment of a suspected deep vein thrombosis: Comparison between a score and empirical assessment. J Intern Med 2000;247:249-254
16. Sanson B, Lijmer J, Mac Gillavry M, Turkstra F, Prins M, Buller H: Comparison of a clinical probability estimate and two clinical models in patients with suspected pulmonary embolism. ANTELOPE-Study Group. Thromb Haemost 2000;83:199-203
17. Wells P, Anderson D, Ginsberg J: Assessment of deep vein thrombosis or pulmonary embolism by the combined use of clinical model and noninvasive diagnostic tests. Semin Thromb Hemost 2000;26:643-656
18. Charlson M, Ales K, Simon R, MacKenzie C: Why predictive indexes perform less well in validation studies. Is it magic or methods? Arch Intern Med 1987;147:2155-2161
19. Harrell F, Lee K, Califf R, Pryor D, Rosati R: Regression modelling strategies for improved prognostic prediction. Stat Med 1984;3:143-152
20. Harrell F, Lee K, Matchar D, Reichert T: Regression models for prognostic prediction: Advantages, problems, and suggested solutions. Cancer Treat Rep 1985;69:1071-1077
21. Poses R, Cebul R, Collins M, Fager S: The importance of disease prevalence in transporting clinical prediction rules. The case of streptococcal pharyngitis. Ann Intern Med 1986;105:586-591