Evidence map›Paper›PMID 19586074›Full record

ArticlePharmacoEconomics2009

The future costs, risks and rewards of drug development: the economics of pharmacogenomics.

Joseph Cook, Graeme Hunter, John A Vernon

Abstract read
PubMed Publisher
In one paragraph

Article in PharmacoEconomics, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
11.2field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 19 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 1 institution in 1 country.

Joseph CookNERA Economic Consulting, White Plains, New York, USA.
Graeme Hunter
John A Vernon
University of North Carolina at Chapel Hill · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This article discusses the evolving field of pharmacogenomics, which is the science of using genomic markers to predict drug response, and how it may impact the future costs, risks and returns to pharmaceutical research and development (R&D). We uncover a number of factors and issues that are likely to influence the expected returns and, hence, the incentive to invest in new pharmaceutical R&D in tandem with the development of pharmacogenomics. Specifically, we identify how pharmacogenomics may lower the cost of drug development by shortening drug development times. Thus, pharmacogenomics may lead to an increase in a drug's effective patent life, and may also increase the demand and adoption rate for new products. For these and other reasons, pharmacogenomics may one day enhance expected future returns to R&D, leading to higher levels of R&D investment and an increased pace of pharmaceutical innovation. Our conclusions must be read with much caution, however, as there is considerable uncertainty as to how the area will evolve, both clinically and economically. The time horizon necessary for the science to develop and be adopted into clinical practice is not clear. Nevertheless, we think the issues and factors outlined in this article shed light on possible future economic outcomes and changes in the industry's structure, conduct and performance. Hopefully, this will provide researchers with avenues to pursue regarding a better understanding of the economics of pharmacogenomics.

Indexed as

Economics, PharmaceuticalRewardCosts and Cost AnalysisDrug DiscoveryDrug IndustryForecastingHumansPharmacogeneticsResearchRisk

Identifiers

PMID19586074
OpenAlexW2041817954

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.