A systematic review of studies comparing diagnostic clinical prediction rules with clinical judgment

PLoS ONE

Volumn 10, Issue 6, 2015, Pages

  Sanders, Sharon ^a   Doust, Jenny ^a   Glasziou, Paul ^a  

^a BOND UNIVERSITY   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

CINAHL; CITATION ANALYSIS; CLASSIFICATION; CLINICAL DECISION MAKING; DIAGNOSTIC CLINICAL PREDICTION RULES; DIAGNOSTIC PROCEDURE; EMBASE; FALSE POSITIVE RESULT; HUMAN; INFORMATION RETRIEVAL; MEDLINE; REVIEW; STANDARD; SYSTEMATIC REVIEW; COMPARATIVE STUDY; DECISION MAKING; DECISION SUPPORT SYSTEM; DISEASES; META ANALYSIS; RISK FACTOR; STATISTICAL BIAS;

BIAS (EPIDEMIOLOGY); DECISION SUPPORT TECHNIQUES; DISEASE; HUMANS; JUDGMENT; RISK FACTORS;

EID: 84934985854     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0128233     Document Type: Review

References (47)

1. Steyerberg EW. Clinical prediction models. A practical approach to development, validation and updating. New York: Springer; 2009.
2. Toll DB, Janssen KJ, Vergouwe Y, Moons KG. Validation, updating and impact of clinical prediction rules: a review. Journal of clinical epidemiology. 2008; 61(11):1085-94. doi: 10.1016/j.jclinepi.2008.04.008 PMID: 19208371.
3. Dawes RM, Faust D, Meehl PE. Clinical versus actuarial judgment. Science. 1989; 243(4899):1668-74. PMID: 2648573.
4. Ægisdóttir S, White M.J., Spengler P.M., Maugherman A.S., Anderson L.A., Cook R.S., et al. The meta-analysis of clinical judgment project: Fifty-six years of accumulated research on clinical versus statistical prediction. The Counseling Psychologist. 2006; 34:341-82.
5. Grove WM, Zald DH, Lebow BS, Snitz BE, Nelson C. Clinical versus mechanical prediction: a metaanalysis. Psychological assessment. 2000; 12(1):19-30. PMID: 10752360.
6. Gigerenzer G, Todd P.M., & the ABC Research Group. Simple heuristics that make us smart. New York: Oxford University Press; 1999.
7. Whiting PF, Rutjes AW, Westwood ME, Mallett S, Deeks JJ, Reitsma JB, et al. QUADAS-2: a revised tool for the quality assessment of diagnostic accuracy studies. Annals of internal medicine. 2011; 155(8):529-36. doi: 10.7326/0003-4819-155-8-201110180-00009 PMID: 22007046.
8. Runyon MS, Webb WB, Jones AE, Kline JA. Comparison of the unstructured clinician estimate of pretest probability for pulmonary embolism to the Canadian score and the Charlotte rule: a prospective observational study. Academic emergency medicine: official journal of the Society for Academic Emergency Medicine. 2005; 12(7):587-93. doi: 10.1197/j.aem.2005.02.010 PMID: 15995088.
9. Kabrhel C, Mark Courtney D, Camargo CA Jr., Moore CL, Richman PB, Plewa MC, et al. Potential impact of adjusting the threshold of the quantitative D-dimer based on pretest probability of acute pulmonary embolism. Academic emergency medicine: official journal of the Society for Academic Emergency Medicine. 2009; 16(4):325-32. doi: 10.1111/j.1553-2712.2009.00368.x PMID: 19298619.
10. Kline JA, Courtney DM, Kabrhel C, Moore CL, Smithline HA, Plewa MC, et al. Prospective multicenter evaluation of the pulmonary embolism rule-out criteria. Journal of thrombosis and haemostasis: JTH. 2008; 6(5):772-80. doi: 10.1111/j.1538-7836.2008.02944.x PMID: 18318689.
11. Kabrhel C, McAfee AT, Goldhaber SZ. The contribution of the subjective component of the Canadian Pulmonary Embolism Score to the overall score in emergency department patients. Academic emergency medicine: official journal of the Society for Academic Emergency Medicine. 2005; 12(10):915-20. doi: 10.1197/j.aem.2005.05.030 PMID: 16204134.
12. Carrier M, Wells PS, Rodger MA. Excluding pulmonary embolism at the bedside with low pre-test probability and D-dimer: safety and clinical utility of 4 methods to assign pre-test probability. Thrombosis research. 2006; 117(4):469-74. doi: 10.1016/j.thromres.2005.04.005 PMID: 15893807.
13. Chagnon I, Bounameaux H, Aujesky D, Roy PM, Gourdier AL, Cornuz J, et al. Comparison of two clinical prediction rules and implicit assessment among patients with suspected pulmonary embolism. The American journal of medicine. 2002; 113(4):269-75. PMID: 12361811.
14. Penaloza A, Verschuren F, Dambrine S, Zech F, Thys F, Roy PM. Performance of the Pulmonary Embolism Rule-out Criteria (the PERC rule) combined with low clinical probability in high prevalence population. Thrombosis research. 2012; 129(5):e189-93. doi: 10.1016/j.thromres.2012.02.016 PMID: 22424852.
15. Sanson BJ, Lijmer JG, Mac Gillavry MR, Turkstra F, Prins MH, Buller HR. Comparison of a clinical probability estimate and two clinical models in patients with suspected pulmonary embolism. ANTELOPE-Study Group. Thrombosis and haemostasis. 2000; 83(2):199-203. PMID: 10739372.
16. Penaloza A, Verschuren F, Meyer G, Quentin-Georget S, Soulie C, Thys F, et al. Comparison of the unstructured clinician gestalt, the wells score, and the revised Geneva score to estimate pretest probability for suspected pulmonary embolism. Annals of emergency medicine. 2013; 62(2):117-24 e2. doi: 10.1016/j.annemergmed.2012.11.002 PMID: 23433653.
17. Geersing GJ, Janssen KJ, Oudega R, van Weert H, Stoffers H, Hoes A, et al. Diagnostic classification in patients with suspected deep venous thrombosis: physicians' judgement or a decision rule? The British journal of general practice: the journal of the Royal College of General Practitioners. 2010; 60(579):742-8. doi: 10.3399/bjgp10X532387 PMID: 20883623; PubMed Central PMCID: PMC2944933.
18. Bigaroni A, Perrier A, Bounameaux H. Is clinical probability assessment of deep vein thrombosis by a score really standardized? Thrombosis and haemostasis. 2000; 83(5):788-9. PMID: 10823281.
19. Miron MJ, Perrier A, Bounameaux H. Clinical assessment of suspected deep vein thrombosis: comparison between a score and empirical assessment. Journal of internal medicine. 2000; 247(2):249-54. PMID: 10692088.
20. Blattler W, Martinez I, Blattler IK. Diagnosis of deep venous thrombosis and alternative diseases in symptomatic outpatients. European journal of internal medicine. 2004; 15(5):305-11. doi: 10.1016/j.ejim.2004.06.001 PMID: 15450988.
21. Cornuz J, Ghali WA, Hayoz D, Stoianov R, Depairon M, Yersin B. Clinical prediction of deep venous thrombosis using two risk assessment methods in combination with rapid quantitative D-dimer testing. The American journal of medicine. 2002; 112(3):198-203. PMID: 11893346.
22. Wang B, Lin Y, Pan FS, Yao C, Zheng ZY, Cai D, et al. Comparison of empirical estimate of clinical pretest probability with the Wells score for diagnosis of deep vein thrombosis. Blood coagulation & fibrinolysis: an international journal in haemostasis and thrombosis. 2013; 24(1):76-81. doi: 10.1097/MBC.0b013e32835aba49 PMID: 23103729.
23. Cebul RD, Poses RM. The comparative cost-effectiveness of statistical decision rules and experienced physicians in pharyngitis management. JAMA: the journal of the American Medical Association. 1986; 256(24):3353-7. PMID: 3097339.
24. Rosenberg P, McIsaac W, Macintosh D, Kroll M. Diagnosing streptococcal pharyngitis in the emergency department: Is a sore throat score approach better than rapid streptococcal antigen testing? Cjem. 2002; 4(3):178-84. PMID: 17609003.
25. Attia MW, Zaoutis T, Klein JD, Meier FA. Performance of a predictive model for streptococcal pharyngitis in children. Archives of pediatrics & adolescent medicine. 2001; 155(6):687-91. PMID: 11386959.
26. Glas AS, Pijnenburg BA, Lijmer JG, Bogaard K, de RM, Keeman JN, et al. Comparison of diagnostic decision rules and structured data collection in assessment of acute ankle injury. CMAJ: Canadian Medical Association journal = journal de l'Association medicale canadienne. 2002; 166(6):727-33. PMID: 11944759; PubMed Central PMCID: PMC99451.
27. Singh-Ranger G, Marathias A. Comparison of current local practice and the Ottawa Ankle Rules to determine the need for radiography in acute ankle injury. Accident and emergency nursing. 1999; 7(4):201-6. PMID: 10808759.
28. Al Omar MZ, Baldwin GA. Reappraisal of use of X-rays in childhood ankle and midfoot injuries. Emergency radiology. 2002; 9(2):88-92. doi: 10.1007/s10140-002-0207-x PMID: 15290584.
29. Fenyo G. Routine use of a scoring system for decision-making in suspected acute appendicitis in adults. Acta chirurgica Scandinavica. 1987; 153(9):545-51. PMID: 3321809.
30. Meltzer AC, Baumann BM, Chen EH, Shofer FS, Mills AM. Poor sensitivity of a modified Alvarado score in adults with suspected appendicitis. Annals of emergency medicine. 2013; 62(2):126-31. doi: 10.1016/j.annemergmed.2013.01.021 PMID: 23623557.
31. Mitchell AM, Garvey JL, Chandra A, Diercks D, Pollack CV, Kline JA. Prospective multicenter study of quantitative pretest probability assessment to exclude acute coronary syndrome for patients evaluated in emergency department chest pain units. Annals of emergency medicine. 2006; 47(5):447. doi: 10.1016/j.annemergmed.2005.10.013 PMID: 16631984.
32. Emerman CL, Dawson N, Speroff T, Siciliano C, Effron D, Rashad F, et al. Comparison of physician judgment and decision aids for ordering chest radiographs for pneumonia in outpatients. Annals of emergency medicine. 1991; 20(11):1215-9. PMID: 1952308.
33. Crowe L, Anderson V, Babl FE. Application of the CHALICE clinical prediction rule for intracranial injury in children outside the UK: impact on head CT rate. Archives of disease in childhood. 2010; 95(12):1017-22. doi: 10.1136/adc.2009.174854 PMID: 20573733.
34. Vaillancourt C, Stiell IG, Beaudoin T, Maloney J, Anton AR, Bradford P, et al. The out-of-hospital validation of the Canadian C-Spine Rule by paramedics. Annals of emergency medicine. 2009; 54(5):663-71 e1. doi: 10.1016/j.annemergmed.2009.03.008 PMID: 19394111.
35. El-Solh AA, Hsiao CB, Goodnough S, Serghani J, Grant BJ. Predicting active pulmonary tuberculosis using an artificial neural network. Chest. 1999; 116(4):968-73. PMID: 10531161.
36. Bojang KA, Obaro S, Morison LA, Greenwood BM. A prospective evaluation of a clinical algorithm for the diagnosis of malaria in Gambian children. Tropical medicine & international health: TM & IH. 2000; 5(4):231-6. PMID: 10810013.
37. Leibovici L, Greenshtain S, Cohen O, Mor F, Wysenbeek AJ. Bacteremia in febrile patients. A clinical model for diagnosis. Archives of internal medicine. 1991; 151(9):1801-6. PMID: 1888246.
38. Stein J, Louie J, Flanders S, Maselli J, Hacker JK, Drew WL, et al. Performance characteristics of clinical diagnosis, a clinical decision rule, and a rapid influenza test in the detection of influenza infection in a community sample of adults. Annals of emergency medicine. 2005; 46(5):412-9. doi: 10.1016/j.annemergmed.2005.05.020 PMID: 16271670.
39. Korner H, Sondenaa K, Soreide JA, Andersen E, Nysted A, Lende TH. Structured data collection improves the diagnosis of acute appendicitis. The British journal of surgery. 1998; 85(3):341-4. doi: 10.1046/j.1365-2168.1998.00627.x PMID: 9529488.
40. Kabrhel C, Camargo CA Jr., Goldhaber SZ. Clinical gestalt and the diagnosis of pulmonary embolism: does experience matter? Chest. 2005; 127(5):1627-30. doi: 10.1378/chest.127.5.1627 PMID: 15888838.
41. Broekhuizen BD, Sachs A, Janssen K, Geersing GJ, Moons K, Hoes A, et al. Does a decision aid help physicians to detect chronic obstructive pulmonary disease? The British journal of general practice: the journal of the Royal College of General Practitioners. 2011; 61(591):e674-9. doi: 10.3399/bjgp11X601398 PMID: 22152850; PubMed Central PMCID: PMC3177137.
42. Moons KG, de Groot JA, Linnet K, Reitsma JB, Bossuyt PM. Quantifying the added value of a diagnostic test or marker. Clinical chemistry. 2012; 58(10):1408-17. doi: 10.1373/clinchem.2012.182550 PMID: 22952348.
43. Liu JL, Wyatt JC, Deeks JJ, Clamp S, Keen J, Verde P, et al. Systematic reviews of clinical decision tools for acute abdominal pain. Health technology assessment. 2006; 10(47):1-167, iii-iv. PMID: 17083855.
44. Leeflang MM, Rutjes AW, Reitsma JB, Hooft L, Bossuyt PM. Variation of a test's sensitivity and specificity with disease prevalence. CMAJ: Canadian Medical Association journal = journal de l'Association medicale canadienne. 2013; 185(11):E537-44. doi: 10.1503/cmaj.121286 PMID: 23798453; PubMed Central PMCID: PMC3735771.
45. Auleley GR, Ravaud P, Giraudeau B, Kerboull L, Nizard R, Massin P, et al. Implementation of the Ottawa ankle rules in France. A multicenter randomized controlled trial. JAMA: the journal of the American Medical Association. 1997; 277(24):1935-9. PMID: 9200633.
46. Collins GS, de Groot JA, Dutton S, Omar O, Shanyinde M, Tajar A, et al. External validation of multivariable prediction models: a systematic review of methodological conduct and reporting. BMC medical research methodology. 2014; 14:40. doi: 10.1186/1471-2288-14-40 PMID: 24645774; PubMed Central PMCID: PMC3999945.
47. Moons KG, Kengne AP, Woodward M, Royston P, Vergouwe Y, Altman DG, et al. Risk prediction models: I. Development, internal validation, and assessing the incremental value of a new (bio)marker. Heart. 2012; 98(9):683-90. doi: 10.1136/heartjnl-2011-301246 PMID: 22397945.