The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.
The cost of biopharmaceutical R&D: is biotech different?
Open accessAbstract
The costs of developing the types of new drugs that have been pursued by traditional pharmaceutical firms have been estimated in a number of studies. However, similar analyses have not been published on the costs of developing the types of molecules on which biotech firms have focused. This study represents a first attempt to get a sense for the magnitude of the R&D costs associated with the discovery and development of new therapeutic biopharmaceuticals (specifically, recombinant proteins and monoclonal antibodies [mAbs]). We utilize drug‐specific data on cash outlays, development times, and success in obtaining regulatory marketing approval to estimate the average pre‐tax R&D resource cost for biopharmaceuticals up to the point of initial US marketing approval (in year 2005 dollars). We found average out‐of‐pocket (cash outlay) cost estimates per approved biopharmaceutical of $198 million, $361 million, and $559 million for the preclinical period, the clinical period, and in total, respectively. Including the time costs associated with biopharmaceutical R&D, we found average capitalized cost estimates per approved biopharmaceutical of $615 million, $626 million, and $1241 million for the preclinical period, the clinical period, and in total, respectively. Adjusting previously published estimates of R&D costs for traditional pharmaceutical firms by using past growth rates for pharmaceutical company costs to correspond to the more recent period to which our biopharmaceutical data apply, we found that total out‐of‐pocket cost per approved biopharmaceutical was somewhat lower than for the pharmaceutical company data ($559 million vs $672 million). However, estimated total capitalized cost per approved new molecule was nearly the same for biopharmaceuticals as for the adjusted pharmaceutical company data ($1241 million versus $1318 million). The results should be viewed with some caution for now given a limited number of biopharmaceutical molecules with data on cash outlays, different therapeutic class distributions for biopharmaceuticals and for pharmaceutical company drugs, and uncertainty about whether recent growth rates in pharmaceutical company costs are different from immediate past growth rates. Copyright © 2007 John Wiley & Sons, Ltd.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
The price of innovation: new estimates of drug development costs
DiMasi, J. A., Hansen, R. W., & Grabowski, H. G. (2003) · Journal of Health Economics · doi:10.1016/s0167-6296(02)00126-1 · Cited by 4,265
Self-citationPrinciples of Corporate Finance.
Stapleton, R. C., Brealey, R., & Myers, S. (1981) · The Journal of Finance · doi:10.2307/2327568 · Cited by 3,634
Cost of innovation in the pharmaceutical industry
DiMasi, J. A., Hansen, R. W., Grabowski, H. G., & Lasagna, L. (1991) · Journal of Health Economics · doi:10.1016/0167-6296(91)90001-4 · Cited by 754
Self-citationMonoclonal antibody successes in the clinic
Reichert, J. M., Rosensweig, C. J., Faden, L. B., & Dewitz, M. C. (2005) · Nature Biotechnology · doi:10.1038/nbt0905-1073 · Cited by 733
Risks in new drug development: Approval success rates for investigational drugs
DiMasi, J. A. (2001) · Clinical Pharmacology & Therapeutics · doi:10.1067/mcp.2001.115446 · Cited by 450
Self-citationReturns on Research and Development for 1990s New Drug Introductions
Grabowski, H., Vernon, J., & DiMasi, J. A. (2002) · PharmacoEconomics · doi:10.2165/00019053-200220003-00002 · Cited by 311
Self-citationSuccess rates for new drugs entering clinical testing in the United States
DiMasi, J. A. (1995) · Clinical Pharmacology & Therapeutics · doi:10.1016/0009-9236(95)90066-7 · Cited by 184
Self-citationR&D Costs and Returns by Therapeutic Category
DiMasi, J. A., Grabowski, H. G., & Vernon, J. (2004) · Drug Information Journal · doi:10.1177/009286150403800301 · Cited by 120
Self-citationCompetitive Strategies in the Pharmaceutical Industry
Helms, R. B. (1996) · Cited by 93
Gosse, M. E., DiMasi, J. A., & Nelson, T. F. (1996) · Clinical Pharmacology & Therapeutics · doi:10.1016/s0009-9236(96)90209-x · Cited by 20
Self-citation
Cited by
How to improve R&D productivity: the pharmaceutical industry's grand challenge
Paul, S. M., Mytelka, D. S., Dunwiddie, C. T., Persinger, C. C., Munos, B. H., Lindborg, S. R., & Schacht, A. L. (2010) · Nature Reviews Drug Discovery · doi:10.1038/nrd3078 · Cited by 3,566
Innovation in the pharmaceutical industry: New estimates of R&D costs
DiMasi, J. A., Grabowski, H. G., & Hansen, R. W. (2016) · Journal of Health Economics · doi:10.1016/j.jhealeco.2016.01.012 · Cited by 3,359
Self-citationClinical development success rates for investigational drugs
Hay, M., Thomas, D. W., Craighead, J. L., Economides, C., & Rosenthal, J. (2014) · Nature Biotechnology · doi:10.1038/nbt.2786 · Cited by 2,536
Estimated Research and Development Investment Needed to Bring a New Medicine to Market, 2009-2018
Wouters, O. J., McKee, M., & Luyten, J. (2020) · JAMA · doi:10.1001/jama.2020.1166 · Cited by 1,531
Lessons from 60 years of pharmaceutical innovation
Munos, B. (2009) · Nature Reviews Drug Discovery · doi:10.1038/nrd2961 · Cited by 1,207
Metadata
- Authors
- DiMasi, J. A., & Grabowski, H. G.
- Venue
- Managerial and Decision Economics
- Publisher
- Wiley
- Published
- 2007-06
- Volume
- 28
- Issue
- 4-5
- Pages
- 469-479
- ISSN
- 0143-6570 (ISSN-L)
- 1099-1468
- OpenAlex
- W2007896584
- Cited by
- 517
- References
- 10
- FWCI
- 71.64
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.