Integration of meta-analysis and economic decision modeling for evaluating diagnostic tests

Medical Decision Making

Volumn 28, Issue 5, 2008, Pages 650-667

  Sutton, Alexander J ^a   Cooper, Nicola J ^a   Goodacre, Steve ^b   Stevenson, Matthew ^b  

^a UNIVERSITY OF LEICESTER   (United Kingdom)

^b UNIVERSITY OF SHEFFIELD   (United Kingdom)

Author keywords

Bayesian methods; Deep vein thrombosis; Diagnostic test; Economic decision modeling; Evidence synthesis; Meta analysis

Indexed keywords

BAYES THEOREM; BIVARIATE ANALYSIS; CLINICAL EVALUATION; DECISION MAKING; DEEP VEIN THROMBOSIS; DIAGNOSTIC ACCURACY; DIAGNOSTIC TEST; ECONOMIC ASPECT; INTEGRATION; META ANALYSIS; MONTE CARLO METHOD; PROBABILITY; RECEIVER OPERATING CHARACTERISTIC; REVIEW; SENSITIVITY AND SPECIFICITY; SIMULATION;

BAYES THEOREM; DATA INTERPRETATION, STATISTICAL; DECISION SUPPORT TECHNIQUES; DIAGNOSTIC TESTS, ROUTINE; GREAT BRITAIN; HUMANS; META-ANALYSIS AS TOPIC; MODELS, ECONOMETRIC; REPRODUCIBILITY OF RESULTS; VENOUS THROMBOSIS;

EID: 52149089698     PISSN: 0272989X     EISSN: 1552681X     Source Type: Journal    
DOI: 10.1177/0272989X08324036     Document Type: Review

References (44)

1. Ades AE, Sculpher M., Sutton A., et al. Bayesian methods for evidence synthesis in cost-effectiveness analysis. Pharmacoeconomics. 2006 ; 24: 1-19.
2. Cooper NJ, Sutton AJ, Abrams KR, Turner D., Waioloo A. Comprehensive decision analytical modelling in economic evaluation: a Bayesian approach. Health Econ. 2004 ; 13: 203-26.
3. Cooper NJ, Abrams KR, Sutton AJ, Turner D., Lambert PC Use of Bayesian methods for Markov modelling in cost-effectiveness analysis: an application to taxane use in advanced breast cancer. J R Stat Soc A. 2003 ; 166: 389-405.
4. Spiegelhalter DJ, Best NG Bayesian approaches to multiple sources of evidence and uncertainty in complex cost-effectiveness modelling. Stat Med. 2003 ; 22: 3687-709.
5. Spiegelhalter DJ, Thomas A., Best NG WinBUGS Version 1.4: User Manual. Cambridge, UK: MRC Biostatistics Unit; 2000.
6. Goodacre S., Stevenson M., Wailoo A., Sampson F., Sutton AJ, Thomas S. How should we diagnose suspected deep-vein thrombosis ? QJM. 2006 ; 99: 377-88.
7. Goodacre S., Sampson F., Sutton AJ, Mason S., Morris F. Variation in the diagnostic performance of D-dimer for suspected deep vein thrombosis: systematic review, meta-analysis and meta-regression. Q J Med. 2005 ; 98: 513-27.
8. Goodacre S., Sampson F., Thomas S., van Beek E., Sutton AJ Systematic review and meta-analysis of the diagnostic accuracy of ultrasonography for deep vein thrombosis. BMC Med Imaging. 2005 ; 5: 6.
9. Goodacre S., Sutton AJ, Sampson F. The value of clinical assessment in the diagnosis of deep vein thrombosis: systematic review and meta-analysis. Ann Intern Med. 2005 ; 143: 129-39.
10. Goodacre S., Sampson F., Stevenson M., et al. Measurement of the clinical and cost-effectiveness of non-invasive diagnostic testing strategies for deep vein thrombosis. Health Technol Assess. 2006 ; 10 (15). 1-168.
11. Swets JA Signal Detection Theory and ROC Analysis in Psychology and Diagnosis: Collected Papers. Mahwah, NJ: Lawrence Erlbaum Associates ; 1996.
12. Hunink MG, Glasziou P., Siegel J., Weeks J., Pilskin J., Elstein A. Decision Making in Health and Medicine: Integrating Evidence and Values. 2 nd ed. Cambridge, UK: Cambridge University Press ; 2001.
13. Deeks JJ Systematic reviews in health care: systematic reviews of evaluation of diagnostic and screening tests. BMJ. 2001 ; 323: 157-62.
14. Rutter CM, Gatsonis CA A hierarchical regression approach to meta-analysis of diagnostic test accuracy evaluations. Stat Med. 2001 ; 20: 2865-84.
15. Harbord RM, Deeks JJ, Egger M., Whiting P., Sterne JAC. A unification of models for meta-analysis of diagnostic accuracy studies. Biostatistics. 2007 ; 8: 239-51.
16. Arends LR, Hamza TH, Van Houwelingen JC, Heijenbrok-Kal MH, Hunink MGM, Stijnen T. Bivariate random-effects meta-analysis of ROC curves. Med Decis Making. 2008. In press.
17. Deeks JJ Systematic reviews of evaluations of diagnostic and screening tests. In: Egger M, Davey Smith G, Altman DG, eds. Systematic Reviews in Health Care: Meta-analysis in Context. 2 nd ed. London: BMJ ; 2001. p 157-62.
18. Reitsma JB, Glas AS, Rutjes AWS, Scholten Rjpm, Bossuyt PMM, Zwindermano AH Bivariate analysis of sensitivity and specificity produces informative summary measures in diagnostic reviews. J Clin Epidemiol. 2005 ; 58: 982-90.
19. Arends LR, Hoes AW, Lubsen J., Grobbee DE, Stijnen T. Baseline risk as predictor of treatment benefit: three clinical meta-re-analyses. Stat Med. 2000 ; 19: 3497-518.
20. Hardy RJ, Thompson SG A likelihood approach to meta-analysis with random effects. Stat Med. 1996 ; 15: 619-29.
21. Dukic V., Gastonis C. Meta-analysis of diagnostic test accuracy assessment studies with varying number of thresholds. Biometrics. 2003 ; 59: 936-46.
22. Kester ADM, Buntinx F. Meta-analysis of ROC curves. Med Decis Making. 2000 ; 20: 430-9.
23. Laking G., Lord J., Fischer A. The economics of diagnosis. Health Econ. 2006 ; 15: 1109-20.
24. Mushlin AI, Ruchlin HS, Callahan MA Cost-effectiveness of diagnostic tests. Lancet. 2001 ; 358: 1353-5.
25. Doubilet P. A mathematical approach to interpretation and selection of diagnostic tests. Med Decis Making. 1983 ; 3: 177-95.
26. Greenes RA, Cain KC, Begg CB Patient-oriented performance measures of diagnostic tests. 1. Tools for prospective evaluation of test order decisions. Med Decis Making. 1984 ; 4: 7-15.
27. Glasziou P., Hilden J. Test selection measures. Med Decis Making. 1989 ; 9: 133-41.
28. Jund J., Rabilloud M., Wallon M., Ecochard R. Methods to estimate the optimal threshold for normally or log-normally distributed biological tests. Med Decis Making. 2005 ; 25: 406-15.
29. Phelps CE, Mushlin AI Focusing technology assessment using medical decision theory. Med Decis Making. 1988 ; 8: 279-89.
30. Lord J., Laking G., Fischer A. Non-linearity in the cost-effectiveness frontier. Health Econ. 2006 ; 15: 565-77.
31. Stinnett AA, Mulahy J. Net health benefits: a new framework for the analysis of uncertainty in cost-effectiveness analysis. Med Decis Making. 1998 ; 18: S68 - S80.
32. Fenwick E., Claxton K., Sculpher M. Representing uncertainty: the role of cost-effectiveness acceptability curves. Health Econ. 2001 ; 10: 779-87.
33. Khan KS, Bachmann LM, ter Riet G. Systematic reviews with individual patient data meta-analysis to evaluate diagnostic tests. Eur J Obstet Gynecol Reprod Biol. 2003 ; 108: 121-5.
34. Ades AE, Lu G., Higgins JPT. The interpretation of random-effects meta-analysis in decision models. Med Decis Making. 2005 ; 25: 646-54.
35. Welton NJ, White IR, Lu G., Higgins JPT, Hilden J., Ades AE Correction: interpretation of random effects meta-analysis in decision models. Med Decis Making. 2007 ; 27: 212-4.
36. Spiegelhalter DJ, Best NG, Carlin BR, van der Linde A. Bayesian measures of model complexity and fit. J R Stat Soc B. 2002 ; 64: 583-616.
37. Lambert P., Sutton AJ, Burton P., Abrams KR, Jones DR How vague is vague? Assessment in the use of vague prior distributions for variance components. Stat Med. 2005 ; 24: 2401-28.
38. Koerkamp BG, Hunink MGM, Stijnen T., Hammitt JK, Kuntz KM, Weinstein MC Limitations of acceptability curves for presenting uncertainty in cost-effectiveness analysis. Med Decis Making. 2007 ; 27: 101-11.
39. Tatsioni A., Zarin DA, Aronson N., et al. Challenges in systematic reviews of diagnostic technologies. Ann Intern Med. 2005 ; 142: 1048-55.
40. Bossuyt PM, Irwig L., Craig J., Glasziou P. Comparative accuracy: assessing new tests against existing diagnostic pathways. BMJ. 2006 ; 332: 1089-92.
41. Ades AE, Lu G., Claxton K. Expected value of sample information calculations in medical decision modeling. Med Decis Making. 2004 ; 24: 207-27.
42. Lijmer JG, Bossuyt PMM, Heisterkamp SH Exploring sources of heterogeneity in systematic reviews of diagnostic tests. Stat Med. 2002 ; 21: 1525-37.
43. Kohn MA, Newman TB What white blood cell count should prompt antibiotic treatment in a febrile child? Tutorial on the importance of disease likelihood to the interpretation of diagnostic tests. Med Decis Making. 2001 ; 21: 479-89.
44. Whiting P., Rutjes AWS, Reitsma JB, Bossuyt PMM, Kleijnen J. The development of QUADAS: a tool for the quality assessment of studies of diagnostic accuracy included in systematic reviews. BMC Med Res Methodol. 2003 ; 3: 25.