Evidence map›Paper›PMID 20368156›Full record

ArticleScience translational medicine2009

Traversing the valley of death: a guide to assessing prospects for translational success.

Barry S Coller, Robert M Califf

Abstract read
In one paragraph

Article in Science translational medicine, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing 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

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

  1. Pooled it
  2. Trial
  3. Review
  4. Article
  5. Navigating the challenges of initiating pediatric device trials - a case study.Journal of clinical and translational science · 2024
    Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Review
  13. Article
  14. Biomarker definitions and their applications.Experimental biology and medicine (Maywood, N.J.) · 2018
    Review
  15. Article
  16. Review
  17. Review
  18. Article
  19. Warning About Shortcuts in Drug Development.Journal of the American Heart Association · 2017
    Article
  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

2 authors.

Barry S CollerThe Rockefeller University, New York, NY, USA. collerb@rockefeller.edu
Robert M Califf

Funding

UNIVERSITY OF PITTSBURGH CLINICAL AND TRANSLATIONAL SCIENCE INSTITUTE: BPCAUL1RR024153 · NCRR · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI REIS, STEVEN E · 2006 to 2011
$73.9M
TRANSFORMING TRANSLATIONAL SCIENCE AND EDUCATION TO BENEFIT HUMAN HEALTHUL1RR024143 · NCRR · ROCKEFELLER UNIVERSITY · PI COLLER, BARRY · 2006 to 2011
$49.1M
Platelet Integrin AlphaIIbBeta3 Structure, Activation, and Ligand Binding: Fibrinogen, Fibrin, D-dimer, and von Willebrand FactorR01HL019278 · NHLBI · STATE UNIVERSITY NEW YORK STONY BROOK · PI Claudia Lorena Buitrago, Barry Coller · 1985 to 2026
$17.6M
NCRR NIH HHS UL1 RR024143NCRR NIH HHS UL1 RR024153NHLBI NIH HHS R01 HL019278
6 · The paper itself

Abstract

On the basis of our experience in drug and device development, we have identified six broad categories of issues that profoundly affect the probability for successful translation of basic scientific discoveries into effective therapies. Within each category, we propose a series of questions that form the beginnings of a self-guided global risk assessment tool. Although this preliminary tool will require validation and adjustment, we offer it to stimulate a discussion about more rigorous methods for selecting and conducting translational projects.

Indexed as

Drug DesignMedical Laboratory ScienceNational Institutes of Health (U.S.)United States

Identifiers

PMID20368156
PMCPMC2879158

What OpenQuestion holds

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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.