Measuring Trends in the Development of
New Drugs: Time, Costs, Risks and
Returns
Joseph A. DiMasi, Ph.D.
Director of Economic Analysis
Tufts Center for the Study of Drug Development
Tufts University
SLA Pharmaceutical & Health Technology
Division Spring Meeting
Boston, MA, March 19, 2007
Agenda
New Drug development times
Risks in new drug development
R&D costs and returns for new drugs
Pace of competitive development
Impact of improvements to the R&D process
Trends in new drug pipelines
Mean U.S. Approval and Clinical Phases for
U.S. New Drug Approvals, 1963-2004
12
10
Total Phase
8
6
4
IND Phase
Approval Phase
2
0
1964 1968 1972 1976 1980 1984 1988 1992 1996 2000 2004
Year of NDA Approval
Source: Tufts CSDD, 2006
Points are 3-year moving averages
Clinical and Approval Times Vary
Across Therapeutic Classes, 2002-04
Neuropharmacologic
Antineoplastic
Antiinfectives
Endocrine
AIDS Antivirals
Gastrointestinal
Anesthetic/Analgesic
Cardiovascular
0
5.6
5.2
6.3
6.3
4.8
6.6
10.4
9.0
0.8
9.8
1.5
1.9
1.3
7.6
0.6
6.9
1.9
7.5
2.8
8.0
8.5
6.3
1.7
Clinical Phase
Years
Approval Phase
12.1
14
Source: Tufts CSDD, 2006
Approval Success Rates for NCEs
Also Vary by Therapeutic Class
40.4% Antiinfective
Oncology/Immunology
Respiratory
Cardiovascular
CNS
GI/Metabolism
0
27.2%
19.9%
15.2%
10.9%
14.4%
Approval Success Rate
Source: Tufts CSDD Impact Report, 8(3): May/June 2006
45
New Drug Approvals Are Not Keeping
Pace with Rising R&D Spending
60 40
R&D Expenditures
45
30
15
New Drug Approvals
20
0
1963 1968 1973 1978 1983 1988
R&D expenditures are adjusted for inflation
Source: Tufts CSDD Approved NCE Database, PhRMA, 2005
1993 1998 2003
0
Recent Productivity Decline in the Drug
Industry: Is this a Unique Phenomenon?
“In 1960 the trade press of the U.S. drug industry began to refer to the last few years as constituting a “research gap,” commenting that the flow of important new drug discoveries has for some inexplicable reason diminished.”
Source: U.S. Senate, Report of the Subcommittee on Antitrust and Monopoly, 87 th Congress,
1 st Session, “Study of Administered Prices in the Drug Industry,” June 27, 1961, p.136
Opportunity Cost for Investments
Consider two investment projects, A and B
Both projects require the same out-ofpocket expenditure (say, $400 million)
However, returns to A are realized immediately, but investors must wait 10 years before returns to B are realized
Rational investors would conclude that B is effectively much costlier than A
Out-of-Pocket and Capitalized
Costs per Approved Drug
900
800
700
600
500
400
300
200
100
0
121
336
282
466
Preclinical Clinical
Out-of-Pocket Capitalized
Source: DiMasi et al., J Health Economics 2003;22(2):151-185
403
802
Total
Pre-approval and Post-approval
R&D Costs per Approved Drug
1200
1000
800
600
400
200
0
140
403
543
95
802
897
Out-of-Pocket Capitalized
Post-approval Pre-approval Total
Source: DiMasi et al., J Health Economics 2003;22(2):151-185
Annual Growth Rates for Out-of-Pocket R&D Costs
11.8%
7.8%
7.0%
7.6%
6.1%
2.3%
Preclinical Clinical Total
1970s to 1980s approvals 1980s to 1990s approvals
Source: DiMasi et al., J Health Economics 2003;22(2):151-185
Mean Number of Subjects in NDAs for NMEs
5,621
5,507
3,233
3,567
1,576
1,321
1977-80 1981-84 1985-88 1990-92 1994-95 1998-01
Approval Period
Sources: Boston Consulting Group, 1993; Peck,
Food and Drug Law J, 1997; PAREXEL, 2002
Clinical Trial Complexity Index (Phases I-III)
150
140
130
120
110
100
90
1992 1993 1994 1995 1996 1997 1998 1999 2000
Source: DataEdge, 2002
Summary for R&D Costs
R&D costs have grown substantially, even in inflation-adjusted terms
The growth rate for discovery and preclinical development costs has decreased substantially
Conversely, clinical costs have grown at a much more rapid rate
New discovery and development technologies
(e.g., genomics) hold the promise of lower costs in the long-run (but perhaps higher costs in the short-run)
Summary for R&D Costs (cont.)
Evidence and conjectures regarding factors affecting growth in clinical costs
More clinical trial subjects
Increased complexity: more procedures per patient
Patient recruitment and retention
Treatments associated with chronic and degenerative diseases
Testing against comparator drugs
Present Values of Net Sales and R&D Cost for New Drugs by Sales Decile (millions of 2000 $)
3000
2500
2000
1500
1000
500
0
After-tax average R&D Cost
1 2 3 4 5
Deciles
6 7 8 9 10
Source: Grabowski et al., PharmacoEconomics 2002; 20(Suppl 3):11-29
Transition Probabilities for Clinical Phases
83.7%
71.0%
64.2%
68.5%
56.3%
44.2%
30.2%
21.5%
Phase I-II Phase II-III Phase III-
Approval
Biotech Pharma
Source: DiMasi and Grabowski, Managerial and Dec Econ 2007, in press
Phase I -
Approval
Clinical Development and Approval Times
Biotech 19.5
29.3
32.9
16 97.7
Pharma 12.3
26.0
33.8
18.2
90.3
0
Months
Phase I Phase II Phase III RR
Source: DiMasi and Grabowski, Managerial and Dec Econ 2007, in press
120
Pre-Approval Out-of-Pocket (cash outlay) and Time
Costs per Approved New Biopharmaceutical*
1,241
417
615 626
559
682
361
265
198
Preclinical** Clinical Total
Out-of-pocket Time Capitalized
* Based on a 30.2% clinical approval success rate
** All R&D costs (basic research and preclinical development) prior to initiation of clinical testing
Source: DiMasi and Grabowski, Managerial and Dec Econ 2007, in press
Why Might Biopharma Cost Differ?
Biotech firms may be more nimble and creative
(different corporate culture)
Replacement therapies may confront fewer safety issues (more relevant to early biotech era development)
However, biotech firms have less experience in clinical development and in interacting with regulatory authorities
Manufacturing process R&D and production of clinical supplies much more expensive for biopharmaceuticals
Pre-Approval Out-of-Pocket Cost per Approved New Molecule
672
559
522
452
361
316
198
136
150
Preclinical* Clinical Total
Biotech Pharma Pharma (time-adjusted)**
* All R&D costs (basic research and preclinical development) prior to initiation of clinical testing
** Based on a 5-year shift and prior growth rates for the preclinical and clinical periods
Source: DiMasi and Grabowski, Managerial and Dec Econ 2007, in press
Pre-Approval Capitalized Cost per Approved New Molecule
1,241
879 899
1,318
615
376
439
626
523
Preclinical* Clinical
Biotech Pharma Pharma (time-adjusted)**
* All R&D costs (basic research and preclinical development) prior to initiation of clinical testing
** Based on a 5-year shift and prior growth rates for the preclinical and clinical periods
Source: DiMasi and Grabowski, Managerial and Dec Econ 2007, in press
Total
Market Exclusivity for First-in-Class has Declined: Mean Time to First
Follow-on Approval
8.2
1970s
1980-84
5.9
1985-89
1990-94
5.1
2.8
1995-98 1.8
0
Years
Source: DiMasi and Paquette, PharmacoEconomics 2004;22(Suppl 2):1-14
9
Percent of Follow-on Drugs Reaching
Clinical Milestone Prior to First-in-
Class Drug Reaching Same Milestone
50
42%
36%
35%
27%
14%
10%
0
1985-1989 1990-1994
Period of First-in-Class Approval
IND Filed 1st Human Test
1995-1998
Source: DiMasi, Paquette, PharmacoEconomics 2004;22(Suppl 2):1-14
Follow-on Approvals Create Competition
Resulting in Price Discounts
8
7
6
5 5 5 5
3
2 2
0
0
-10% to -3% -3% to3% 3% to 15% 15% to 40%
Relative Price Discount
>40%
Mean Price for Existing Drugs Price Leader
* Analysis based on FYs 1995-1999.
Source: DiMasi, 2000 [http://aspe.hhs.gov/health/reports/drugpapers/dimassi/dimasi-final.htm]
Cost Reductions from Higher Clinical
Success Rates
35%
30%
25%
20%
15%
10%
5%
0%
21
.5
%
22
.5
%
23
.5
%
24
.5
%
25
.5
%
26
.5
%
27
.5
%
28
.5
%
29
.5
%
30
.5
%
31
.5
%
32
.5
%
33
.5
%
34
.5
%
Success Rate
Average phase cost Phase cost adjusted for cost of failures
Source: DiMasi, PharmacoEconomics 2002; 20(Suppl 3):1-10
Cost Reductions from Simultaneous
Percentage Decreases in All Phase Lengths
30%
25%
20%
15%
10%
5%
0%
0% 5% 10% 15% 20% 25% 30% 35% 40% 45% 50%
Phase time reduction
Clinical cost Total cost
Source: DiMasi, PharmacoEconomics 2002; 20(Suppl 3):1-10
Clinical Testing Pipelines for Large Pharmaceutical Firms*
Have Grown in Recent Years (Phase I Starts per year)
100
80
60
40
20
0
1993-1997 1998-2002
* Ten largest pharmaceutical firms
Source: Tufts CSDD Impact Report, 8(3): May/June 2006
2003-2005
Trends in New Drug Development
Pipelines* by Therapeutic Class
Antiinfective
Cardiovascular
7.9%
8.7%
9.1%
11.6%
13.7%
14.3%
CNS
20.6%
19.6%
21.9%
GI/Metabolism 8.3%
10.7%
4.3%
Oncology/Immunologic
Respiratory 6.5%
4.8%
9.1%
0%
Percent of Phase I Pipeline
1993-97 1998-02 2003-05
* Ten largest pharmaceutical firms
Source: Tufts CSDD Impact Report, 8(3): May/June 2006
20.2%
20.5%
27.2%
30%
Large Pharmaceutical Firms* are
Increasingly Licensing-in New Drugs
100
80
77.8
70.3 71.8
60
40
14.8
23.6 25.0
20
0
Self-originated Licensed-in
7.4
6.2
3.2
Licensed-out
1993-97 1998-02 2003-05
* Ten largest pharmaceutical firms
Source: Tufts CSDD Impact Report, 8(3): May/June 2006
Conclusions
Drug development has been and still is costly, risky, and lengthy
Periods of market exclusivity have shrunk for first-in-class drugs
The potential payoffs for improvements in the development process are substantial
After a period of decline, more new drugs are now entering clinical testing pipelines