Meta-analysis of the accuracy of two diagnostic tests used in combination: Application to the ddimer test and the wells score for the diagnosis of deep vein thrombosis

Value in Health

Volumn 16, Issue 4, 2013, Pages 619-628

  Novielli, Nicola ^a   Sutton, Alexander J ^a   Cooper, Nicola J ^a  

^a UNIVERSITY OF LEICESTER   (United Kingdom)

Author keywords

Bayesian methods; diagnostic accuracy; evidence synthesis

Indexed keywords

D DIMER;

ANALYTICAL PARAMETERS; ARTICLE; CLINICAL EFFECTIVENESS; COST EFFECTIVENESS ANALYSIS; D DIMER TEST; DATA ANALYSIS; DEEP VEIN THROMBOSIS; DIAGNOSTIC ACCURACY; DIAGNOSTIC TEST; HUMAN; MATHEMATICS; META ANALYSIS; NAMED INVENTORIES, QUESTIONNAIRES AND RATING SCALES; PRIORITY JOURNAL; SENSITIVITY AND SPECIFICITY; SYSTEMATIC REVIEW; WELLS SCORE;

BAYES THEOREM; COMPUTER SIMULATION; FIBRIN FIBRINOGEN DEGRADATION PRODUCTS; HUMANS; MARKOV CHAINS; MODELS, THEORETICAL; MONTE CARLO METHOD; SENSITIVITY AND SPECIFICITY; VENOUS THROMBOSIS;

EID: 84879416902     PISSN: 10983015     EISSN: 15244733     Source Type: Journal    
DOI: 10.1016/j.jval.2013.02.007     Document Type: Article

References (43)

1. Higgins JPT, Green S. Cochrane Handbook for Systematic Reviews of Interventions, Version 5.0.1. Chichester, UK: The Cochrane Collaboration, 2008.
2. N.J. Welton, A.J. Sutton, and N.J. Cooper Evidence Synthesis for Decision Making in Healthcare 2012 Wiley Chichester
3. F.B. George, L. Oscar, F. Jaap, and D. Rogier The evidence provided by a single trial is less reliable than its statistical analysis suggests J Clin Epidemiol 62 2009 711-5.e1
4. J. Lau, J.P.A. Ioannidis, and C.H. Schmid Summing up evidence: one answer is not always enough Lancet 351 1998 123 127
5. N. Novielli, N.J. Cooper, K.R. Abrams, and A.J. Sutton How is evidence on test performance synthesized for economic decision models of diagnostic tests? A systematic appraisal of health technology assessments in the UK since 1997 Value Health 13 2010 952 957
6. C. van Walraven, P.C. Austin, A. Jennings, and A.J. Forster Correlation between serial tests made disease probability estimates erroneous J Clin Epidemiol 62 2009 1301 1305
7. N. Novielli, N.J. Cooper, and AJ. Sutton Evaluating the cost-effectiveness of diagnostic tests in combination: is it important to allow for performance dependency? Value Health. 16 2013 536 541
8. S.L. Hui, and S.D. Walter Estimating the error rates of diagnostic tests Biometrics 36 1980 167 171
9. P.M. Vacek The effect of conditional dependence on the evaluation of diagnostic tests Biometrics 41 1985 959 968
10. C. Enoe, M.P. Georgiadis, and W.O. Johnson Estimation of sensitivity and specificity of diagnostic tests and disease prevalence when the true disease state is unknown Prev Vet Med 45 2000 61 81
11. N. Dendukuri, and J. Lawrence Bayesian approaches to modeling the conditional dependence between multiple diagnostic tests Biometrics 57 2001 158 167
12. M.P. Georgiadis, W.O. Johnson, I.A. Gardner, and R. Singh Correlation-adjusted estimation of sensitivity and specificity of two diagnostic tests J R Stat Soc Series C 52 2003 63 76
13. N. Dendukuri, A. Hadgu, and L. Wang Modeling conditional dependence between diagnostic tests: a multiple latent variable model Stat Med 28 2009 441 461
14. L. Joseph, T.W. Gyorkos, and L. Coupal Bayesian estimation of disease prevalence and the parameters of diagnostic tests in the absence of a gold standard Am J Epidemiol 141 1995 263 272
15. F. Principato, A. Vullo, and D. Matranga On implementation of the Gibbs sampler for estimating the accuracy of multiple diagnostic tests J Appl Stat 37 2010 1335 1354
16. Y. Shen, D. Wu, and M. Zelen Testing the independence of two diagnostic tests Biometrics 57 2001 1009 1017
17. H. Jin, and Y. Lu A procedure for determining whether a simple combination of diagnostic tests may be noninferior to the theoretical optimum combination Med Decis Making 28 2008 909 916
18. A. Liu, E.F. Schisterman, and Y. Zhu On linear combinations of biomarkers to improve diagnostic accuracy Stat Med 24 2005 37 47
19. P. Macaskill, S.D. Walter, L. Irwig, and E.L. Franco Assessing the gain in diagnostic performance when combining two diagnostic tests Stat Med 21 2002 2527 2546
20. M.W. McIntosh, and M.S. Pepe Combining several screening tests: optimality of the risk score Biometrics 58 2002 657 664
21. J. Qin, and B. Zhang Best combination of multiple test for screening purposes Stat Med 29 2010 2905 2919
22. J.Q. Su, and J.S. Liu Linear combinations of multiple diagnostic markers J Am Stat Assoc 88 2010 1350 1355
23. X. Huang, G. Qin, and Y. Fang Optimal combinations of diagnostic tests based on AUC Biometrics 67 2011 568 576
24. M.S. Pepe, and M.L. Thompson Combining diagnostic test results to increase accuracy Biostatistics 1 2000 123 140
25. M.S. Siadaty, J.T. Philbrick, S.W. Heim, and J.M. Schectman Repeated-measures modeling improved comparison of diagnostic tests in meta-analysis of dependent studies J Clin Epidemiol 57 2004 698 711
26. N. Dendukuri, I. Schiller, L. Joseph, and M. Pai Bayesian meta-analysis of the accuracy of a test for tuberculous pleuritis in the absence of a gold standard reference Biometrics 68 4 2012 1285 1293
27. S. Goodacre, F. Sampson, and M. Stevenson Measurement of the clinical and cost-effectiveness of non-invasive diagnostic testing strategies for deep vein thrombosis Health Technol Assess 10 2006 168
28. P.S. Wells, J. Hirsh, and D.R. Anderson Accuracy of clinical assessment of deep-vein thrombosis Lancet 345 1995 1326 1330
29. P.S. Wells, D.R. Anderson, and J. Bormanis Application of a diagnostic clinical model for the management of hospitalized patients with suspected deep-vein thrombosis Thromb Haemost 81 1999 493 497
30. S. Goodacre, A.J. Sutton, and F.C. Sampson Meta-analysis: the value of clinical assessment in the diagnosis of deep venous thrombosis Ann Intern Med 143 2005 129 139
31. S. Goodacre, F.C. Sampson, and A.J. Sutton Variation in the diagnostic performance of D-dimer for suspected deep vein thrombosis QJM 98 2005 513 527
32. M.L. Thompson Assessing the diagnostic accuracy of a sequence of tests Biostatistics 4 2003 341 351
33. I. Ntzoufras Bayesian Modeling Using WinBUGS 2010 Wiley Chichester
34. J. Bernardo, and A. Smith Bayesian Theory 1994 Wiley Chichester
35. L.R. Arends, T.H. Hamza, and H.C. van Houwelingen Bivariate random effects meta-analysis of ROC curves Med Decis Making 28 2008 621 638
36. C.H. Jackson, N.G. Best, and S. Richardson Bayesian graphical models for regression on multiple data sets with different variables Biostatistics 10 2009 335 351
37. W.R. Gilks, S. Richardson, and D.J. Spiegelhalter Markov Chain Monte Carlo in Practice: Interdisciplinary Statistics 1996 Chapman & Hall London
38. D. Spiegelhalter, A. Thomas, N. Best, and D. Lunn WinBUGS User Manual: Version 1.4 2003 MRC Biostatistics Unit Cambridge
39. R.M. Harbord, J.J. Deeks, and M. Egger A unification of models for meta-analysis of diagnostic accuracy studies Biostatistics 8 2007 1 21
40. N. Novielli, N.J. Cooper, A.J. Sutton, and K.R. Abrams Bayesian model selection for meta-analysis of diagnostic test accuracy data: application to Ddimer for deep vein thrombosis Res Synth Methods 1 2010 226 238
41. A.E. Ades, and S. Cliffe Markov chain Monte Carlo estimation of a multiparameter decision model: consistency of evidence and the accurate assessment of uncertainty Med Decis Making 22 2002 359 371
42. A.J. Sutton, D. Kendrick, and C.A.C. Coupland Meta-analysis of individual- and aggregate-level data Stat Med 27 2008 651 669
43. G. Geersing, P.M. Erkens, and W.A.M. Lucassen Safe exclusion of pulmonary embolism using the Wells rule and qualitative D-dimer testing in primary care: prospective cohort study BMJ 345 2012 e6564