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The Reference Model: Improvement in Treatment Through Time in Diabetic Populations

Jacob Barhak Computational Surgery The Joseph B. Martin Conference Center Harvard Medical School Boston, MA, USA 9-10-11 Dec 2012

Modeling Scope Courtesy of C. Anthony Hunt - UCSF

The Reference Model Attempts to reduce uncertainty by competition and knowledge accumulation Jacob Barhak

The Reference Model

No CHD MI Survive MI CHD Death Process CHD Stroke Death Process Stroke Death No Stroke Stroke Survive Stroke Alive Other Death Process Competing Mortality • • • • Prototype demonstrating Technology Built from literature references and hence the name: The Reference Model Designed to serve as a reference for new equations and populations A League / Consumers Report for disease models Jacob Barhak

Key Features

Simple - Low Resolution

Based on secondary data:

– Published Risk Equations – Published Clinical Trials , i.e. no real individual data – Other publications •

Relies on computing power/techniques

– Parallel processing / High Performance Computing – Competition among alternative equation/hypothesis combinations – Cross validation One click validation – Ranks results according to fitness Fitness Engine – Accumulates knowledge Jacob Barhak

Risk Equations from the Literature Blinded

A1c, ACR, AF, Age, AgeAtDiagnosisOfDiabetes, BMI, DBP, DiabetesType2, FamilyHistoryCHD, HDL, LDL, LipidRatio, MacroAlbuminuria, Male, MicroAlbuminuria, Race, RheumatoidArthritis , SBP, Smoke, Survive_MI, Survive_Stroke, TC, Townsend, TreatedHypertension

1 2 3 4 5 6

Bio-Markers / Parameters

7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24

Risk Equations

3 4 1

*

2

* * * * * * * * * *

5

*

6

*

7

* *

8

*

9

* * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * Smoke Jacob Barhak

How Does it Work?

Pop 3 Pop 2 No CHD

1 4 2 3

MI Survive MI CHD Death Process CHD Pop 1 • • •

1 2

Process Stroke Death No Stroke

4 3

Stroke Survive Stroke Stroke Death

Eq 1 1 1 1 Eq 2 Pop 1 1

4

2

6

3

2 Alive Other Death Process Competing Mortality

Pop 2

2 2 4 3 6 9

Pop 3

… … … …

Loop through Risk Equation/Hypothesis combinations Loop through populations

Fitness Matrix

Calculate fitness of simulation outcomes to observed phenomena

… 1 2

4

1

1

… … … … … … Jacob Barhak

Hypotheses Tested

1. Biomarkers change in the first year

Risk equations use end of trial inputs, if available

Treatment effect through biomarker values 2. Treatment has improved with time

Assumes risk equations become outdated

Transition probabilities are multiplied

• –

Hypotheses were tested Separately

Together

With all equation combinations

Jacob Barhak

Biomarker Hypothesis

Example: ADVANCE standard control:

A1c BMI DBP SBP HDL LDL Trig Baseline 7.48

28 80.5

145 1.25

3.11

1.64

End of Trial 7.24

28 74.3

137.9

1.25

2.65

1.59

From Table 1 in: Intensive Blood Glucose Control and Vascular Outcomes in Patients with Type 2 Diabetes, NEJM Volume 358:2560-2572 June 12, 2008 Number 24 By default use these average numbers in the risk equation With biomarker hypothesis, adjust year 1 values to these averages in risk equation Jacob Barhak

Treatment Hypothesis

Healthcare quality improved through the years.

1.

• • M.L. Weisfeldt, S.J. Zieman. Advances In The Prevention And Treatment Of Cardiovascular Disease. Health Affairs, 26, no.1 (2007):25-37. DOI: 10.1377/hlthaff.26.1.25

Shows improvement trend Lists procedures and drugs on a timeline since 1970 2.

• • E.W. Gregg , Y.J. Cheng , S. Saydah , C. Cowie , S. Garfield , L. Geiss , L. Barker, Trends in death rates among U.S. adults with and without diabetes between 1997 and 2006: findings from the National Health Interview Survey. Diabetes Care. 2012 Jun;35(6):1252-7. DOI: 10.2337/dc11-1162 Quantifies improvement between NHANES cohorts Diabetic CVD death 2003–2004 vs. 1997–1998, Hazard Rate Ratio: 0.60

Jacob Barhak

Treatment Hypothesis

• • • – – – – The 0.6 HRR was translated to yearly probability decrease for: MI Stroke MI Death Stroke Death – – This probability was adjusted for time passed between: Model year = average of Model Data Time Interval Simulated Time Stamp = simulated study year/s Model Data Time Interval Simulated Time Stamp Time Adjustment Time This correction term accounts for model outdate Jacob Barhak

Simulation Overview

Measures fitness of Equations/Hypotheses/Cohort combinations

Calibration requires computing power :

64=4x4x2x2 equation/hypothesis variations

22 cohorts with known outcomes from 4 populations

10 repetitions of 1000 individuals for 10 years

14080 processes = 64x22x10

4 days of computation on a single 8 core desktop PC

Jacob Barhak

Without Treatment Hypothesis A1c changes BMI changes BP changes Lipid change Models Stroke Equation # CHD Death Equation # Stroke Death Equation # Treatment Improvement Correction

FITNESS: LOW SCORE = GOOD FITNESS

UKPDS33 Conventional UKPDS33 Intensive UKPDS33 Full ASPEN All Placebo ASPEN All Atorvastatin ASPEN Primary Placebo ASPEN Primary Atorvastatin ASPEN Secondary Placebo FITNESS ADVANCE Standard ADVANCE Intensive ADVANCE Asia Standard SCORE ADVANCE EME Intensive ADVANCE Eastern Europe Standard ADVANCE Eastern Europe Intensive ADVANCE Full ACCORD BP Standard Therapy ACCORD BP Intensive Therapy ACCORD BP Full

RANK POPULATIONS FOR EACH MODEL

UKPDS33 Conventional UKPDS33 Intensive UKPDS33 Full ASPEN All Placebo ASPEN Full RANK ASPEN Primary Atorvastatin ASPEN Secondary Placebo ASPEN Secondary Atorvastatin ADVANCE Standard ADVANCE Intensive FOR EACH ADVANCE EME Standard ADVANCE EME Intensive ADVANCE Eastern Europe Standard MODEL ADVANCE Full ACCORD BP Standard Therapy ACCORD BP Intensive Therapy ACCORD BP Full

RANK MODELS FOR EACH POPULATION

UKPDS33 Conventional UKPDS33 Intensive UKPDS33 Full ASPEN Full RANK ASPEN Primary Placebo ASPEN Primary Atorvastatin MODELS FOR ADVANCE Standard ADVANCE Intensive EACH ADVANCE EME Standard ADVANCE EME Intensive POPULATION ADVANCE Full ACCORD BP Standard Therapy ACCORD BP Intensive Therapy ACCORD BP Full

OVERALL MODEL RANKING RESULTS

Method_A1c Method_BMI Method_BP Method_Lipids Method_Smoke Method_MI Method_Stroke RANK Method_DeathCHD Method_DeathStroke Method_TimeImprove Weighted Mean 61 61 61 59 37 42 38 21 10 62 60 60 59 61 13 11 1 27 38 36 30 44 21 18 19 13 12 10 11 0 16 15 14 17 20 4 1 9 8 3 7 5 6 2 57 59 56 54 41 49 42 6 5 55 56 56 56 57 4 0 0 25 40 35 43 39 21 19 18 14 12 11 10 0 13 16 15 17 20 5 2 9 6 3 7 8 4 1 14 10 4 7 20 18 19 17 15 16 3 5 2 6 12 13 9 0 1 8 21 11 12 0 0 4 10 5 5 25 25 3 9 9 16 1 3 6 7 4 4 10 14 50

0 0 0 1 0 0 1 1 1 0

27.0

24.6

21.5

14.3

18.5

23.3

21.7

23.2

16.2

8.3

67.3

67.3

66.7

72.6

84.8

91.2

75.9

78.5

57.3

46.8

42.5

43.9

0 0 0 1 0 0 1 1 1 1

Treatment Hypothesis

0 0 0 1 0 0 2 1 1 0

With

Results

Best Model Overall

2 1 1 1 0 0 0 0 1 0

Without Biomarker Hypothesis

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 1 1 0 0 0 0 0 1 3 1 1 1 0 0 0 0 1 4 1 1 0 0 0 0 0 1 4 1 1 1 0 0 0 0 1 1 1 1 0 0 0 0 0 2 1 1 1 1 0 0 0 0 2 2 1 1 0 0 0 0 0 2 2 1 1 1 0 0 0 0 2 3 1 1 0 0 0 0 0 2 3 1 1 1 0 0 0 0 2 4 1 1 0 0 0 0 0 2 4 1 1 1 0 0 0 0 2 1 1 1 0 0 0 0 0 3 1 1 1 1 0 0 0 0 3 2 1 1 0 0 0 0 0 3 2 1 1 1 0 0 0 0 3 3 1 1 0 0 0 0 0 3 3 1 1 1 0 0 0 0 3 4 1 1 0 0 0 0 0 3 4 1 1 1 0 0 0 0 3 1 1 1 0 0 0 0 0 4 1 1 1 1 0 0 0 0 4 2 1 1 0 0 0 0 0 4 2 1 1 1 0 0 0 0 4 0 0 0 4 0 0 3 1 1 0 0 0 0 4 0 0 3 1 1 1 0 0 0 4 0 0 4 1 1 0 0 0 0 4 0 0 4 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 2 1 1 0 1 1 1 1 1 1 2 1 1 1 1 1 1 1 1 1 3 1 1 0 3 1 1 1 1 1 1 1 1 1

With Biomarker Hypothesis

1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 4 1 1 0 1 1 1 1 1 4 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 2 1 1 1 1 1 1 1 1 2 2 1 1 0 1 1 1 1 2 2 1 1 1 1 1 1 1 2 3 1 1 0 1 1 1 1 2 3 1 1 1 1 1 1 1 2 4 1 1 0 1 1 1 1 2 4 1 1 1 1 1 1 1 2 1 1 1 0 1 1 1 1 3 1 1 1 1 1 1 1 1 3 2 1 1 0 1 1 1 1 3 2 1 1 1 1 1 1 1 3 3 1 1 0 1 1 1 1 3 3 1 1 1 1 1 1 1 3 4 1 1 0 1 1 1 1 3 4 1 1 1 1 1 1 1 3 1 1 1 0 1 1 1 1 4 1 1 1 1 1 1 1 1 4 2 1 1 0 1 1 1 1 4

24.1 24.6

22.5 21.4

23.0 21.3

10.2 13.8

9.4 20.5

9.5 23.1

13.1 24.3

37.6 21.2

18.8 10.3

11.8

7.9

9.9 54.0

12.1 59.3

18.9 58.4

21.2 64.4

14.0 80.4

21.6 83.0

15.7 71.0

10.8 69.2

12.7 54.9

30.4 48.0

27.9 46.7

27.9 45.4

31.7

26.7

26.3

9.7

10.2

11.1

11.4

39.7

20.9

13.4

10.4

12.8

17.0

17.5

20.4

27.4

19.5

17.5

14.6

27.9

28.6

29.2

24.6

24.6

22.4

10.2

17.6

22.3

21.7

21.9

12.2

7.6

60.1

62.7

64.5

71.2

79.7

82.4

69.1

73.6

55.4

54.3

49.8

53.0

33.1

30.1

29.9

10.2

11.3

9.0

10.3

40.4

29.0

13.1

16.0

14.8

12.2

18.0

26.4

30.3

21.5

19.6

18.3

35.1

32.7

34.0

26.9

24.2

23.6

15.1

15.8

20.6

22.9

21.0

11.6

8.2

62.7

60.3

70.9

79.4

81.1

87.1

70.8

75.8

57.0

53.0

48.9

51.8

31.2

26.5

29.5

10.6

8.0

9.0

11.9

37.3

20.7

9.7

12.8

14.5

13.2

17.3

22.4

28.3

17.1

16.2

12.7

32.0

29.2

29.3

43.0

37.0

35.1

15.9

22.7

19.7

25.0

22.7

14.8

9.8

36.6

42.7

35.2

32.8

75.6

82.3

65.6

66.3

52.7

41.5

43.5

44.3

24.6

31.9

29.5

21.9

28.4

31.5

32.1

6.2

18.5

17.3

24.1

23.6

21.5

24.5

49.2

45.7

41.2

44.2

38.8

21.5

15.1

17.7

42.5

34.1

34.5

13.5

22.6

25.4

23.0

19.0

13.1

10.3

27.5

34.5

26.8

32.7

67.9

74.9

59.7

61.1

52.5

44.7

41.6

43.2

32.7

35.2

39.4

22.0

28.5

26.7

32.7

11.6

20.7

17.9

22.8

27.2

20.5

23.2

51.7

57.0

48.0

47.7

44.8

24.1

24.2

25.3

36.3

35.6

35.1

17.8

18.7

24.6

24.2

20.5

15.3

9.4

31.0

36.4

29.2

37.8

65.9

70.5

58.1

56.1

53.9

50.6

48.4

49.1

35.8

38.2

37.3

18.1

30.0

31.3

31.2

17.7

27.5

19.5

27.2

27.2

25.3

23.9

52.9

58.5

48.7

49.2

48.1

34.7

31.7

34.8

39.2

34.2

34.3

19.0

21.6

23.0

25.5

18.1

13.2

9.0

32.9

37.6

32.6

37.3

65.1

75.3

55.9

59.3

53.3

49.5

43.4

50.1

33.4

34.0

33.8

22.1

29.9

27.8

31.6

11.9

23.6

20.1

25.0

28.9

19.9

26.7

49.7

56.0

42.8

45.1

46.6

29.0

29.0

28.2

39.7

32.2

31.5

12.5

16.8

15.5

17.2

18.4

25.9

9.4

54.1

59.1

53.0

58.9

79.4

79.0

62.9

69.5

53.1

62.6

54.4

58.9

29.4

40.8

37.1

23.5

26.0

23.8

25.2

15.7

40.1

16.6

39.4

47.0

43.5

49.5

55.1

57.2

44.9

51.9

50.2

32.3

35.3

33.6

39.7

32.5

32.0

12.6

15.4

14.3

15.6

13.6

23.0

5.6

48.0

51.3

48.3

53.9

66.9

76.3

57.1

57.8

56.4

63.3

55.9

60.4

36.9

43.3

42.4

18.7

25.2

22.6

25.7

15.4

39.2

15.7

42.2

48.9

43.6

52.4

57.7

66.0

56.7

53.2

51.7

39.1

36.5

41.2

39.6

34.3

33.6

10.9

16.6

16.0

17.4

14.6

24.3

7.6

50.1

53.4

52.4

56.5

70.0

72.9

51.4

55.0

52.5

66.3

63.6

64.3

46.2

45.7

45.9

18.2

29.5

21.7

26.2

24.4

46.6

13.7

52.4

53.5

47.4

54.1

59.0

63.8

51.2

57.0

54.9

49.3

47.7

47.7

35.9

29.6

34.2

12.1

13.9

15.8

16.5

12.8

24.2

8.0

49.9

56.2

53.1

57.5

72.4

73.9

51.6

54.4

54.3

63.5

60.3

63.3

38.1

41.8

42.5

19.3

28.2

21.7

25.7

16.2

42.7

17.4

43.4

34.6

42.4

43.8

23.2

28.8

33.3

34.7

20.9

20.8

18.9

65.4

50.8

47.0

52.9

61.4

73.2

67.2

79.7

89.0

65.4 100.6

50.0

81.8

49.3

55.1

42.4

39.8

41.1

79.0

64.6

52.8

47.5

49.9

22.7

21.6

21.9

12.5

9.8

9.8

13.1

45.7

26.2

14.8

12.9

9.8

23.3

16.9

16.9

16.0

23.8

16.2

13.8

37.0

33.8

35.1

35.8

41.4

39.7

22.4

25.1

31.3

31.4

13.8

19.3

18.8

60.5

63.5

63.9

70.7

82.2

86.4

72.2

72.7

61.4

49.4

44.3

48.2

27.8

25.6

27.9

13.4

11.8

10.2

10.5

47.3

26.4

16.3

10.1

8.5

21.0

14.3

19.8

17.1

22.2

19.1

12.8

36.2

32.2

34.4

33.7

43.7

42.6

22.9

28.9

29.9

32.2

19.4

19.3

17.3

67.6

67.9

67.1

74.4

87.3

92.6

76.2

78.8

64.5

54.4

56.8

51.8

30.4

30.6

32.3

13.5

12.1

9.0

10.0

50.7

33.1

16.2

12.3

11.6

12.2

7.6

24.5

20.6

20.8

21.0

13.1

38.3

37.6

37.6

34.4

41.4

41.7

25.1

29.0

32.7

32.7

16.6

20.6

19.7

60.2

70.2

66.7

75.2

81.5

89.3

70.2

68.4

66.2

52.5

52.0

56.2

29.8

29.5

28.7

13.4

10.1

9.3

10.4

48.1

26.0

15.3

11.0

11.6

11.7

7.7

20.8

18.1

22.5

16.7

13.6

36.2

34.9

36.0

23.6

22.8

23.7

15.5

15.0

23.4

17.0

22.7

12.0

8.2

45.9

40.4

54.4

45.3

64.3

61.4

54.0

43.5

39.6

46.5

36.7

43.5

24.7

22.7

21.6

10.3

9.4

8.7

11.3

37.9

21.9

11.9

10.6

9.8

21.2

18.7

11.1

11.9

20.4

19.3

15.8

30.0

28.7

28.4

25.0

22.4

22.5

14.5

12.8

21.3

15.7

21.1

7.6

10.1

40.1

37.6

42.2

42.6

58.7

54.7

47.9

39.9

35.5

47.7

37.2

42.2

29.2

29.0

28.1

9.0

10.6

9.8

10.7

36.3

24.7

13.7

7.2

7.1

19.3

15.3

17.7

19.5

17.6

16.8

11.6

28.5

29.2

30.1

25.5

22.4

21.9

12.3

12.8

20.8

16.5

19.5

12.5

10.4

43.5

39.2

47.3

42.2

64.6

57.3

48.5

40.9

38.2

46.9

43.6

48.0

33.0

28.6

29.6

9.3

11.3

9.0

9.8

39.7

28.3

13.7

9.1

8.4

12.4

10.7

21.5

18.2

19.0

15.1

10.9

34.8

31.4

34.2

26.7

22.0

23.0

14.5

9.1

22.4

16.0

20.2

14.2

9.3

44.0

41.8

48.7

41.8

62.0

56.0

56.1

38.0

37.6

50.9

41.3

46.2

33.1

29.0

27.6

9.9

8.7

9.1

12.0

38.7

25.9

12.4

9.6

8.8

11.1

9.7

19.1

19.5

16.6

14.2

7.2

31.9

32.3

30.3

40.4

34.6

35.6

13.7

17.1

23.4

21.6

24.8

10.3

11.0

27.7

30.3

22.3

29.9

64.2

70.2

52.6

52.9

45.3

42.2

36.1

39.6

24.7

33.7

30.0

21.1

22.3

30.1

24.9

7.9

13.0

19.8

18.1

20.2

22.7

21.9

41.8

40.1

34.9

36.1

36.6

20.0

13.9

16.9

39.9

31.6

33.8

17.5

17.8

24.3

21.4

19.2

7.3

10.2

24.6

25.7

23.8

25.8

60.7

66.8

46.0

51.6

47.3

41.7

36.9

40.6

30.3

32.6

34.5

25.7

26.9

30.5

26.7

10.2

11.8

17.3

19.6

18.8

20.2

20.4

45.8

46.7

39.7

37.8

40.6

23.1

20.8

22.3

40.3

32.0

36.3

14.6

15.8

23.5

22.0

20.9

11.2

9.0

26.9

31.1

24.0

25.5

62.4

61.0

45.7

48.0

45.0

49.3

40.6

46.0

34.2

38.3

37.4

21.1

24.9

29.5

26.8

18.2

21.7

17.3

23.7

23.1

20.2

19.1

50.2

47.1

43.8

39.1

42.1

31.7

28.4

31.1

38.6

33.2

37.5

16.7

16.0

26.5

24.0

18.3

11.7

8.9

29.6

28.7

24.2

28.8

59.7

64.4

46.3

44.5

48.7

48.3

45.1

44.4

30.4

36.1

34.5

22.5

23.1

31.1

28.6

11.5

16.8

16.6

23.2

24.8

22.2

21.5

43.4

48.7

40.5

43.0

40.2

28.8

28.7

27.1

37.7

34.0

34.1

13.7

14.9

14.6

15.6

18.7

21.3

7.6

45.2

40.2

42.5

47.0

65.6

62.3

49.9

47.6

44.0

58.3

44.2

52.4

33.7

39.4

37.7

21.6

24.6

25.1

22.0

16.0

30.5

16.0

37.6

31.6

37.7

35.1

46.9

43.9

36.0

35.2

37.7

28.8

25.5

30.5

36.0

34.2

33.9

11.4

13.3

16.1

15.9

13.8

18.1

7.2

34.7

34.3

39.1

39.1

59.1

54.0

46.9

44.7

45.7

56.0

46.9

51.7

35.0

45.7

44.8

24.3

23.8

25.1

23.8

18.2

31.8

13.4

33.6

38.7

41.4

37.7

49.7

46.0

44.6

37.9

46.6

39.6

31.9

34.9

40.2

32.9

36.4

12.3

14.5

15.0

13.3

14.9

22.3

8.0

40.9

36.5

44.5

38.5

57.2

56.3

48.9

38.8

47.4

63.1

53.3

57.5

41.1

47.1

47.3

19.1

21.2

21.5

23.5

25.8

37.0

15.7

40.5

40.7

34.8

38.6

53.7

49.1

45.3

35.7

45.3

45.7

35.9

39.2

38.6

32.3

34.3

14.5

15.6

17.3

15.1

13.6

20.9

10.1

41.6

39.1

41.0

45.3

61.1

58.7

42.1

43.6

44.7

60.7

54.6

57.5

37.6

45.0

41.0

23.4

21.3

24.3

24.4

18.3

35.7

16.3

37.7

37.2

35.4

40.1

55.1

49.9

41.7

41.1

46.5

43.0

34.9

38.6

35.8

43.4

42.6

22.0

17.0

29.4

23.1

23.2

11.7

18.7

50.7

52.0

48.5

50.8

74.1

68.8

60.6

62.4

46.5

45.9

30.7

37.4

22.3

21.9

23.3

14.6

11.8

9.4

11.8

46.9

29.9

16.7

19.9

12.8

25.8

22.5

19.0

17.1

29.1

25.2

19.0

38.9

38.3

40.0

38.4

42.9

40.5

24.0

16.5

31.1

25.4

14.9

6.1

14.2

40.7

45.8

48.0

49.4

67.9

60.4

56.2

52.2

44.8

47.0

37.8

37.6

29.3

27.4

28.3

13.3

12.8

10.2

10.3

49.7

29.3

18.2

15.5

12.6

21.9

19.9

21.0

20.6

27.2

21.5

13.2

37.2

35.7

37.5

1 1 1 4 1 1 2 1 1 1

56 56 59 56 54 55 56 13 4 57 58 58 58 56 6 10 5 5 34 31 31 40 21 17 19 13 12 10 11 0 14 15 16 18 20 7 1 9 8 3 6 4 5 2 16 11 9 7 17 18 19 20 15 14 0 10 12 6 2 5 8 4 21 13 1 3 13 5 7 12 4 7 8 33 29 5 12 7 10 8 24 14 12 2 7 15 10 53 59 58 60 58 52 54 54 8 8 60 57 63 62 58 12 9 10 33 27 25 35 37 21 16 18 13 12 10 11 0 15 14 17 19 20 7 2 9 8 3 4 6 5 1 16 11 10 9 20 17 19 18 15 14 1 5 7 6 4 8 12 3 0 2 21 13 15 8 10 14 17 19 15 50 28 14 15 2 11 15 28 22 23 6 9 4 4 55 55 55 54 48 28 44 40 19 18 33 43 32 29 54 62 45 40 35 46 24 46 41 21 18 19 17 12 15 16 14 11 8 2 0 10 13 9 7 20 4 3 6 5 1 15 10 9 5 20 16 17 19 14 18 3 11 13 2 6 8 7 4 21 12 0 1 14 2 3 3 13 11 9 29 17 9 14 5 9 13 23 13 21 8 12 49 0 3 51 52 52 47 33 41 36 16 22 26 30 28 28 48 61 37 37 21 45 46 36 29 21 18 19 17 16 13 15 14 10 11 2 0 8 12 7 9 20 4 6 5 3 1 20 18 19 17 6 1 3 11 15 13 7 2 9 8 5 10 21 12 14 16 0 4 18 20 30 21 1 1 1 24 51 21 19 17 22 20 5 26 20 50 56 59 59 0 48 51 48 51 47 53 49 20 15 29 31 29 33 46 44 43 39 38 39 43 42 34 21 19 18 17 16 14 15 11 10 9 2 0 8 12 7 13 20 3 6 5 4 1 21 19 18 17 7 8 9 14 15 16 4 11 2 6 20 1 5 12 10 13 0 3 30 33 35 29 3 3 3 30 55 18 22 14 20 24 25 42 49 51 57 48 61 4 52 45 51 50 46 43 51 17 13 30 35 30 31 44 52 38 35 42 43 34 49 22 21 18 19 17 15 14 16 13 9 10 3 0 8 12 7 11 20 4 5 6 2 1 21 18 19 17 12 11 13 14 16 15 1 2 5 6 4 3 20 8 10 9 0 7 33 35 37 40 15 15 18 48 60 25 23 26 21 25 40 46 45 39 63 58 56 20 54 54 57 49 59 58 60 43 16 56 55 52 55 55 54 28 25 14 31 19 26 27 20 18 19 11 17 13 14 0 12 16 10 15 21 7 1 9 8 3 2 4 5 6 21 17 18 19 11 10 8 14 16 15 3 6 20 2 5 9 1 12 7 13 0 4 27 23 33 36 8 10 6 39 63 23 25 11 25 21 30 36 30 53 62 49 58 5 53 50 50 57 61 60 61 38 0 49 50 47 49 47 55 30 26 16 24 16 18 8 21 16 17 15 19 14 18 0 10 12 11 13 20 7 1 9 8 4 3 5 2 6 21 15 19 18 7 9 8 6 13 10 2 1 11 16 14 17 20 5 3 4 0 12 31 26 40 43 14 23 14 61 46 36 46 40 45 28 17 49 44 59 53 40 47 15 49 40 46 46 63 63 63 41 2 51 52 51 51 50 53 40 28 9 30 21 27 11 21 11 15 13 19 17 18 0 10 14 12 16 20 7 1 9 8 4 3 5 2 6 21 19 18 16 8 6 10 7 13 12 2 1 11 15 14 17 20 4 3 5 0 9 44 48 43 44 26 27 34 60 38 42 48 41 47 30 45 55 55 41 52 33 51 14 50 41 44 52 62 62 62 40 6 50 54 53 54 52 42 21 33 11 20 20 24 6 21 11 14 13 19 17 18 0 10 15 12 16 20 8 1 9 7 3 4 5 2 6 21 14 19 18 13 12 11 0 15 16 10 17 20 7 1 8 6 5 2 4 3 9 40 39 49 53 43 52 45 63 33 54 53 45 50 32 63 62 62 40 61 29 52 45 63 63 63 62 51 51 50 31 59 61 63 62 63 63 37 53 59 57 58 63 63 35 21 19 17 13 12 10 11 0 14 16 15 18 20 9 3 6 8 4 5 7 2 1 21 16 15 19 10 7 8 11 2 6 9 1 13 17 14 18 20 4 0 12 5 3 43 38 38 55 31 36 33 62 53 43 49 43 48 37 48 52 56 44 55 30 50 17 58 60 58 60 45 47 48 27 58 59 59 57 57 60 41 51 50 54 51 57 57 10 21 18 19 14 12 10 11 1 13 15 16 17 20 8 3 7 9 4 5 6 0 2 8 16 9 6 20 18 19 14 12 13 3 7 4 2 15 10 11 0 1 5 21 17 1 11 4 11 20 20 20 46 35 10 5 22 8 2 1 1 3 15 5 11 15 56 62 62 62 61 55 61 53 26 50 63 61 61 60 62 32 57 58 56 59 52 60 31 21 18 19 13 11 12 10 0 15 16 14 17 20 8 3 7 9 4 5 6 2 1 9 13 10 5 20 18 19 16 14 17 6 8 1 0 12 7 11 4 2 3 21 15 5 19 17 17 3 9 8 47 43 4 2 15 6 7 14 12 15 19 11 13 7 58 60 57 55 63 50 56 57 28 61 58 62 59 61 59 36 50 54 62 60 62 62 18 21 18 16 14 11 10 12 1 13 17 15 19 20 9 3 7 8 4 6 5 0 2 10 11 12 7 20 19 18 14 15 16 8 9 6 3 5 0 13 4 1 2 21 17 10 7 12 6 23 31 24 56 42 8 7 3 0 14 20 23 27 22 15 6 3 63 37 44 28 22 36 28 37 12 9 48 40 54 42 41 11 34 2 8 23 37 25 42 20 18 13 11 17 10 14 0 16 12 19 15 21 9 3 8 6 2 7 4 5 1 11 13 10 8 20 18 19 17 16 15 7 9 4 5 6 0 12 2 1 3 21 14 6 10 5 9 18 22 21 45 36 7 8 1 1 10 18 20 19 20 6 8 6 61 26 32 24 16 40 30 35 2 20 37 34 38 40 31 9 4 6 30 16 27 20 38 20 19 13 10 18 11 16 1 14 12 15 17 21 8 3 9 7 2 6 4 5 0 8 12 11 9 20 19 18 17 16 14 3 7 4 2 13 10 5 1 0 6 21 15 13 9 9 7 0 6 9 36 26 6 4 16 12 0 7 7 2 7 3 1 9 51 32 34 25 20 38 45 47 14 23 44 38 44 39 43 10 5 4 12 18 26 23 32 20 19 12 10 16 15 18 0 14 11 17 13 21 7 1 9 8 3 6 4 5 2 13 10 9 6 16 19 20 18 17 15 2 7 1 0 12 8 11 4 3 5 21 14 2 5 12 10 8 3 6 42 32 0 0 10 7 3 15 19 16 0 8 12 8 48 28 46 21 18 48 40 44 18 14 45 42 49 38 38 11 3 8 28 2 32 22 33 19 20 11 10 18 12 16 1 15 13 17 14 21 8 3 9 6 0 7 4 5 2 11 12 10 6 20 17 19 18 15 16 3 9 2 0 8 5 13 7 1 4 21 14 1 16 14 16 7 4 2 49 31 1 1 4 4 12 26 17 22 1 10 5 2 54 47 42 42 32 30 26 29 5 24 27 26 20 27 40 59 41 41 23 33 38 29 46 21 18 19 17 16 13 14 15 11 12 2 10 5 9 20 1 8 3 6 4 7 0 13 11 10 0 18 19 17 20 16 15 6 9 4 2 7 5 12 1 3 8 21 14 0 12 18 11 9 1 1 44 27 2 6 2 3 0 27 18 14 3 1 7 13 52 45 29 39 38 29 29 32 1 21 22 21 23 24 35 56 25 29 37 35 42 28 30 21 17 19 18 16 13 15 14 11 12 2 1 8 9 6 10 20 3 7 5 4 0 20 17 18 19 6 2 3 12 16 14 8 5 4 7 11 9 21 10 15 13 0 1 16 16 18 17 0 0 0 15 62 15 17 21 18 16 8 34 24 47 44 53 45 1 36 28 36 30 44 37 43 7 12 24 27 24 23 39 58 27 42 31 26 39 34 36 20 16 18 15 19 14 17 13 11 12 2 10 7 8 21 0 9 3 6 5 4 1 21 18 17 19 9 7 8 13 15 16 10 2 4 3 5 6 20 12 14 11 0 1 20 18 19 24 2 2 2 11 49 16 16 12 15 18 19 31 36 63 54 54 53 2 41 30 31 42 42 48 41 9 11 28 24 25 26 34 50 33 47 36 28 47 41 26 21 17 15 19 18 16 14 13 11 12 3 0 10 8 6 9 20 2 7 5 4 1 20 19 17 18 13 10 12 14 16 15 4 0 7 6 3 2 21 8 11 9 1 5 21 24 23 25 11 6 13 35 52 20 18 13 13 23 33 47 46 48 50 51 54 24 38 37 34 26 57 46 55 34 3 47 39 39 43 45 47 35 32 24 22 17 19 28 20 17 16 12 19 13 18 0 14 10 11 15 21 8 1 9 7 3 2 4 5 6 21 18 19 17 12 11 9 13 16 15 5 1 7 8 4 3 20 6 14 10 0 2 22 19 27 23 7 8 4 22 45 19 20 19 17 17 21 44 38 55 47 55 55 3 25 31 32 33 56 50 52 23 1 32 29 35 36 33 43 39 31 10 19 22 21 9 19 16 14 15 20 17 18 11 8 7 1 0 10 9 13 12 21 2 5 4 3 6 20 14 13 17 7 6 8 11 19 16 2 1 15 10 18 12 21 4 5 3 0 9 17 17 16 19 6 4 12 53 40 34 28 34 30 19 31 48 48 49 49 44 32 16 29 36 22 39 60 57 59 37 7 40 32 42 34 29 57 32 43 13 21 18 16 12 18 16 11 15 21 17 20 12 7 8 1 0 13 9 14 10 19 3 5 2 4 6 19 16 12 20 14 7 9 10 18 17 4 0 8 13 15 11 21 2 5 3 1 6 19 25 20 37 27 16 19 54 30 31 36 37 32 22 38 61 60 61 48 45 40 23 34 22 29 27 58 59 58 32 19 41 37 36 41 36 51 29 34 29 25 23 17 7 19 13 14 15 20 17 18 0 12 10 11 16 21 8 2 9 7 4 5 3 1 6 20 16 7 15 17 8 11 14 18 19 1 0 12 13 6 10 21 2 3 4 5 9 23 27 17 31 34 25 27 59 37 38 41 31 35 26 60 63 63 43 41 28 39 47 46 53 53 34 35 13 22 10 57 53 51 48 46 53 39 56 57 52 32 50 37 43 20 18 19 13 12 7 9 8 11 10 3 2 15 17 14 16 21 1 6 4 5 0 20 16 15 19 17 6 12 10 18 14 3 0 11 9 7 13 21 2 4 5 1 8 24 21 26 35 32 21 26 58 44 35 33 33 37 27 46 60 52 58 42 41 44 25 20 19 18 13 15 8 7 9 12 10 4 1 11 14 16 17 21 3 6 5 2 0 6 16 14 7 19 18 20 11 10 13 4 3 15 12 8 5 9 1 21 17 2 0 4 15 15 15 25 33 30 52 47 17 13 27 19 4 9 32 0 2 12 9 11 57 9 13 11 4 19 18 20 16 14 15 5 7 6 2 12 8 10 3 0 1 21 17 35 47 41 28 39 32 25 0 34 39 44 46 44 49 49 54 51 60 29 56 48 13 20 19 17 13 16 8 10 7 9 11 4 2 14 12 15 18 21 3 6 5 1 0 39 49 47 41 49 39 39 3 54 52 47 50 53 51 35 59 61 45 37 61 38 19 11 14 13 7 21 24 23 51 56 13 11 18 14 11 16 15 17 18 17 14 5 62 2 12 11 8 24 35 31 57 41 12 6 8 3 9 29 24 18 17 14 2 1 60 9 13 12 6 18 19 20 16 15 14 5 3 10 2 11 8 7 0 21 17 4 1

1 1 1 4 1 1 3 1 1 0

34.3

44.1

45.1

20.8

18.4

32.7

23.2

17.3

9.2

17.9

50.2

47.7

51.4

56.6

70.0

63.5

57.1

55.8

48.3

52.5

41.2

44.2

1 1 1 4 1 1 3 1 1 1

33.2

31.2

28.7

12.8

11.9

8.8

8.7

48.1

34.8

16.0

14.4

11.5

17.5

9.7

20.5

16.8

26.0

20.7

13.3

38.6

39.2

40.3

1 1 1 4 1 1 4 1 1 0

34.3

43.7

41.2

20.9

17.9

32.2

22.0

18.0

10.2

16.8

45.1

46.6

55.2

56.6

64.4

64.7

53.9

54.5

51.9

54.0

40.8

47.9

31.0

27.5

27.4

13.9

11.8

7.9

8.5

47.4

32.9

15.7

13.7

12.4

14.7

11.9

19.0

17.9

26.1

24.1

13.6

38.1

39.0

39.3

1 1 1 4 1 1 4 1 1 1

10 13 12 5 18 19 20 16 15 14 7 9 6 4 8 3 11 2 0 1 21 17 21 15 17 14 16 8 13 7 10 9 4 1 11 12 18 19 20 2 6 5 3 0 42 43 45 45 53 38 46 4 48 46 45 55 52 42 34 58 53 46 36 60 33 21

1 1 1 1 1 1 1 0 0 0 0 0 1 1 1 1 1 1 1 1 2 0 0 0 0 0 4 1 1 1 1 1 1 1 4 0 0 0 0 0 4 2 1 1 1 1 1 1 3 0 0 0 0 0 1 2 0 0 0 0 0 1 4 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1

18.51 18.92 19.78 20.04 20.51 20.72 20.73 20.92 21.48 21.66

4 4 0 0 0 0 0 4 1 1 1 1 1 1 1 1 1 1 1 4 4 1 1 1 1 1 1 1 1 1

22.5 22.63 22.88

4 3 0 0 0 0 0 4 2 1 1 1 1 1 1 1 1 1 1 4 3 0 0 0 0 0 1 3 1 1 1 1 1 2 1 1 1 1 1 1 2 2 0 0 0 0 0 2 1 1 1 1 1 1 2 4 0 0 0 0 0 2 2 1 1 1 1 1 2 3 0 0 0 0 0 2 4 1 1 1 1 1 2 2 1 1 1 1 1 3 1 1 1 1 1 1 1 2 0 0 0 0 0 2 3 1 1 1 1 1 2 3 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 0 1 1 1 1 1 0

23.2 23.57 23.77 25.67 27.65 27.91 30.56 31.15 31.41 32.09 33.88 33.89 34.14 34.43 35.32 35.69

1 1 0 2 1 1 1 1 1 1 1 1 0

35.7

1 3 1 1 1 1 1 2 4 1 1 1 1 1 1 1 1 1 1 1 4 1 1 0 1 1 0 1

36.1 36.12 36.34

1 0 1 1 1 1 1 1 1 1 1 0

37.7

3 2 1 1 1 1 1 1 1 1

37.9

3 2 1 1 1 1 1 2 2 0 0 0 0 0 1 1 1 1 1 3 4 0 0 0 0 0 3 1 0 0 0 0 0 2 3 0 0 0 0 0 2 4 1 1 1 1 1 3 3 1 1 1 1 1 3 3 1 1 1 1 1 3 4 1 1 1 1 1 3 1 0 0 0 0 0 2 1 0 0 0 0 0 3 2 1 1 1 1 1 4 2 0 0 0 0 0 3 4 0 0 0 0 0 1 2 1 1 1 1 1 4 4 1 1 1 1 1 4 1 0 0 0 0 0 3 2 1 1 1 1 1 4 3 1 1 0 1 1 1 1 1 1 1 1 0 1 1 0 1 1 0 1 1 1 1 1 0 1 1 0 1 1 0 1 1 1 1 1 0 1 1 1 1 1 0 1 1 0 1 1 0 1 1 0 1 1 0 1

38.1 38.96 39.15 39.45 39.65 39.92 40.18 40.52 40.76 41.61 42.15 42.85 43.02 43.71 44.55 44.57 44.99 45.38 45.46

1 0 3 4 0 0 0 0 0 1 3 0 0 0 0 0 0 0 0 0 0 3 3 0 0 0 0 0 3 3 0 0 0 0 0 1 4 1 1 0 1 1 0 1 1 1 1 1 0 1 1 0

46.3 46.87 47.07 47.24 47.62

1 1 0 0 0 0 0 3 1 0 0 0 0 0 0 0 0 0 0 4 2 0 0 0 0 0 4 4 0 0 0 0 0 4 3 1 1 0 1 1 0 1 1 0 1 1 0 1

47.7 51.37 53.41 55.47 55.58

1 0 4 1 0 0 0 0 0

5 13 14 10 22 34 28 55 39 11 10 6 5 5 22 16 13 26 13 0 0 59 Best Model Overall Jacob Barhak

Analysis

• Comparing overall model ranking for all results: – Out of 32 model variations with Treatment Improvement 29 (91%) performed better – Out of 32 model variations with Biomarker Change 28 (87%) performed better • Comparing model and population combinations: – Out of 512 model and population combinations with Treatment Improvement 409 (80%) performed better – Out of 512 model and population combinations with Biomarker Change 385 (75%) performed better – Out of 256 model and population combinations , in 133(52%) the scenario with both Treatment Improvement and Biomarker Change performed best compared to the three other variations.

Treatment Improvement was more effective than Biomarker Change

Jacob Barhak

Summary Points to Remember

Models become outdated

Models should include a temporal correction term for treatment improvement

Models should be periodically updated

The Reference Model provides a birds eye view of clinical trials

Phenomena observed in different trials can be compared

Does not require access to proprietary data

Accumulates knowledge for competition

Jacob Barhak

Disclaimer

• •

This is not the best This is the best within current environment

Limitations include:

Current technology

– –

Human nature Information used/available

Improvement is welcome

Jacob Barhak

Acknowledgments

• • • • • • • The very capable cluster builder & sys admin: Chris Scheller CAC / Cyber Infrastructure Team at U of M Michigan Python Users Group Wikipedia All the people who developed Linux and cluster OS and made them freely available The GPL modeling framework was supported by the Biostatistics and Economic Modeling Core of the MDRTC (P60DK020572) and by the Methods and Measurement Core of the MCDTR (P30DK092926), both funded by the National Institute of Diabetes and Digestive and Kidney Diseases. The modeling framework was initially defined as GPL and was funded by Chronic Disease Modeling for Clinical Research Innovations grant (R21DK075077) from the same institute. The Reference Model was developed independently without financial support.

Jacob Barhak