Evidence map›Paper›PMID 27999543›Full record

ReviewFrontiers in pharmacology2016

Opportunities and Challenges for Drug Development: Public-Private Partnerships, Adaptive Designs and Big Data.

Oktay Yildirim, Matthias Gottwald, Peter Schüler, Martin C Michel

Abstract readReview
In one paragraph

Review in Frontiers in pharmacology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed, 2 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

42 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Review
  5. Review
  6. Article
  7. Article
  8. Review
  9. Article
  10. From Lab to Clinic: Success Stories of Repurposed Drugs in Treating Major Diseases.Advances in pharmacological and pharmaceutical sciences · 2025
    Review
  11. Article
  12. Article
  13. Approved drugs successfully repurposed againstFrontiers in cellular and infection microbiology · 2024
    Article
  14. Review
  15. Project-Based Public-Private Collaborations.Handbook of experimental pharmacology · 2024
    Review
  16. Article
  17. Lugdunin production and activity inMicrobiology spectrum · 2023
    Article
  18. Article
  19. Review
  20. 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

4 authors.

Oktay YildirimInstitute of Pharmacology, University Duisburg-Essen Essen, Germany.
Matthias GottwaldDepartment of Drug Discovery, Bayer Pharma AG Berlin, Germany.
Peter SchülerDepartment of Drug Development Services CNS, ICON Clinical Research Langen, Germany.
Martin C MichelDepartment of Pharmacology, Johannes Gutenberg University Mainz, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Drug development faces the double challenge of increasing costs and increasing pressure on pricing. To avoid that lack of perceived commercial perspective will leave existing medical needs unmet, pharmaceutical companies and many other stakeholders are discussing ways to improve the efficiency of drug Research and Development. Based on an international symposium organized by the Medical School of the University of Duisburg-Essen (Germany) and held in January 2016, we discuss the opportunities and challenges of three specific areas, i.e., public-private partnerships, adaptive designs and big data. Public-private partnerships come in many different forms with regard to scope, duration and type and number of participants. They range from project-specific collaborations to strategic alliances to large multi-party consortia. Each of them offers specific opportunities and faces distinct challenges. Among types of collaboration, investigator-initiated studies are becoming increasingly popular but have legal, ethical, and financial implications. Adaptive trial designs are also increasingly discussed. However, adaptive should not be used as euphemism for the repurposing of a failed trial; rather it requires carefully planning and specification before a trial starts. Adaptive licensing can be a counter-part of adaptive trial design. The use of Big Data is another opportunity to leverage existing information into knowledge useable for drug discovery and development. Respecting limitations of informed consent and privacy is a key challenge in the use of Big Data. Speakers and participants at the symposium were convinced that appropriate use of the above new options may indeed help to increase the efficiency of future drug development.

Indexed as

adaptive trial designbig datadrug developmentinformed consentinvestigator-initiated studiesprivacypublic–private partnership

Identifiers

PMID27999543
PMCPMC5138214

What OpenQuestion holds

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LicenceCC BY
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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.