Evidence map›Paper›PMID 25562729›Full record

ReviewJournal of personalized medicine2013

Understanding the economic value of molecular diagnostic tests: case studies and lessons learned.

Adrian Towse, Diego Ossa, David Veenstra, Josh Carlson, Louis Garrison

Abstract readReview
In one paragraph

Review in Journal of personalized medicine, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Lessons Learned When Introducing Pharmacogenomic Panel Testing into Clinical Practice.Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research · 2017
    Article
  4. Article
  5. Review
  6. Review
  7. Review
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

5 authors.

Adrian TowseOffice of Health Economics, London SW1E 6QT, UK. atowse@ohe.org.
Diego OssaNovartis Pharma AG, Novartis Campus, Basel CH-4002, Switzerland. diego.ossa@novartis.com.
David VeenstraPharmaceutical Outcomes Research & Policy Program, School of Pharmacy, Department of Pharmacy, University of Washington, Seattle, WA 98195, USA. veenstra@uw.edu.
Josh CarlsonPharmaceutical Outcomes Research & Policy Program, School of Pharmacy, Department of Pharmacy, University of Washington, Seattle, WA 98195, USA. carlsojj@uw.edu.
Louis GarrisonPharmaceutical Outcomes Research & Policy Program, School of Pharmacy, Department of Pharmacy, University of Washington, Seattle, WA 98195, USA. lgarrisn@uw.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ten years after completion of the Human Genome Project, progress towards making "personalized medicine" a reality has been slower than expected. The reason is twofold. Firstly, the science is more difficult than expected. Secondly, limited progress has been made in aligning economic incentives to invest in diagnostics. This paper develops nine case studies of "success" where diagnostic tests are bringing personalized medicine into clinical practice with health and economic impact for patients, healthcare systems, and manufacturers. We focus on the availability of evidence for clinical utility, which is important not only for clinicians but also for payers and budget holders. We find that demonstrating diagnostic clinical utility and the development of economic evidence is currently feasible (i) through drug-diagnostic co-development, and (ii) when the research is sponsored by payers and public bodies. It is less clear whether the diagnostic industry can routinely undertake the work necessary to provide evidence as to the clinical utility and economic value of its products. It would be good public policy to increase the economic incentives to produce evidence of clinical utility: otherwise, opportunities to generate value from personalized medicine-in terms of both cost savings and health gains-may be lost.

Identifiers

PMID25562729
PMCPMC4251388

What OpenQuestion holds

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LicenceCC BY
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.