1. Annual Report 2003 Power Point Presentation

2. Mechanics of merging data

3. Number of entries in the database

4. The growth of the database (n=2,742)

5. Number of entries by centre

6. Period of data collection by centre

7. VTE diagnosis rate by centre (n= 2,361)

8. Number of entries by centre (n=2,742)

9. Age and disease

10. Age distribution for all cases (n= 2,734)

11. Age distribution for patients with VTE (n=558)

12. Age distribution by final diagnosis for patients with VTE (n=558)

13. Age and gender for non-VTE patients

14. Age and gender distribution for non- VTE patients (n=1,795)

15. Age and gender patients with VTE

16. Age and gender for patients with VTE (n=558)

17. Number of risk factors and diagnosis

18. Number of risk factors for patients with VTE (n=430)

19. VTE and non-VTE final diagnosis by the number of risk factors (n=1,868)

20. Number of risk factors and history of VTE in patients with current VTE

21. History of VTE amongst patients with current VTE (n=430)

22. Number of risk factors and age in patients with VTE

23. Number of risk factors by age in patients with VTE (n=427)

25. Number of risk factors and gender in patients with VTE

26. Number of risk factors by gender in patients with VTE (n=430)

27. Recent major surgery in patients with VTE

28. Recent major surgery in patients with VTE (n=522)

29. Recent major surgery by specialty in patients with VTE

30. Specialty for VTE patients who have undergone recent major surgery (n=45)

31. Recent medical inpatient – stay in patients with VTE

32. Recent medical inpatient- stay in patients with VTE (n=535)

33. Final diagnosis of VTE in surgical and medical inpatients

35. Cancer in patients with VTE according to centre

36. Cancer in patients with VTE (n=545)

37. Cancer in patients with VTE by age and gender

38. Cancer in patients with VTE by age and gender (n=542)

39. Cancer in female patients with VTE by age (n=268)

40. Cancer in male patients with VTE by age (n=274)

41. Long-distance travel in patients with VTE

42. History of long-distance travel by the number of risk factors in patients with VTE (n=430)

43. D-dimer result and final diagnosis

44. Final diagnosis by D-dimer result (n=1,795)

45. DVT pre-test probability and final diagnosis

46. Final diagnosis by DVT pre-test probability (n=1,314)

47. DVT pre-test probability and D-dimer result

48. D-dimer result by DVT pre-test probability (n=993)

49. D-dimer result, DVT pre-test probability and final diagnosis

50. Final diagnosis by D-dimer result and DVT pre-test probability (n=912)

51. PE pre-test probability and final diagnosis of PE

52. Final diagnosis by PE pre-test probability (n=1,351)

53. Cancer, D-dimer result and pre-test probability

54. D-dimer result in the context of cancer

55. Final diagnosis by D-dimer result and DVT pre-test probability for patients who had cancer (n=83)

56. Suitability for home treatment

57. Suitability for home treatment by final diagnosis (n=551)

58. Use of LMWH

59. Use of LMWH therapy by final diagnosis

60. Duration of LMWH therapy in patients with VTE

61. Duration of LMWH therapy in patients with VTE (n=406)

63. Time to therapeutic INR

64. Time to therapeutic INR patients with VTE (n=349)

65. Time to therapeutic INR in patients with VTE (n=349)

66. Duration of LMWH therapy and time to therapeutic INR in patients with VTE (n=341)

67. What do Bayes tables do?

68. ROC curve for a general Bayesian risk model designed to predict DVT diagnoses (n=2,361)

69. Calibration plot for the general model (n=2,361)

70. Risk-adjusted funnel plot on DVT diagnosis rate using the general Bayesian model as the predictor of risk (n=2,361)

71. Funnel plot on DVT diagnosis rate (n=2,361)

72. Calibration plot for specific model 1 – low DVT diagnosis rate hospital model (n=981)

73. Calibration plot for specific model 2 – average diagnosis rate hospital model (n=1,302)

74. Funnel plot on DVT diagnosis rate (n=2,283)

75. Risk adjusted funnel plot on DVT diagnosis rate using the specific Bayesian models as the predictors of risk (n = 2,283)

76. Calculation by computer