Evidence map›Paper›PMID 27869291›Full record

ArticleClinical pharmacology and therapeutics2017

Managing Innovation to Maximize Value Along the Discovery-Translation-Application Continuum.

S A Waldman, A Terzic

Abstract readEditorial
In one paragraph

Article in Clinical pharmacology and therapeutics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–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

5 citing papers in PubMed.

  1. Article
  2. Health Care Evolves From Reactive to Proactive.Clinical pharmacology and therapeutics · 2019
    Article
  3. Review
  4. Process Improvement for Maximized Therapeutic Innovation Outcome.Clinical pharmacology and therapeutics · 2018
    Article
  5. 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.

S A WaldmanDepartment of Pharmacology and Experimental Therapeutics, Division of Clinical Pharmacology, Department of Medicine, Thomas Jefferson University, Philadelphia, Pennsylvania, USA.
A TerzicCenter for Regenerative Medicine, Mayo Clinic, Rochester, Minnesota, USA.

Funding

X-Ray Crystallography and Macromolecular CharacterizationP30CA056036 · NCI · THOMAS JEFFERSON UNIVERSITY · PI DANIEL P SILVER · 1995 to 2026
$94.8M
(PQ1) GUCY2C hormone loss translates APC-Beta-catenin mutations into epithelial transformationR01CA206026 · NCI · THOMAS JEFFERSON UNIVERSITY · PI WALDMAN, SCOTT A · 2016 to 2020
$1.8M
GUCY2C hormone signaling at the intersection of obesity and colorectal cancer(PQ1R01CA170533 · NCI · THOMAS JEFFERSON UNIVERSITY · PI WALDMAN, SCOTT A · 2012 to 2015
$1.3M
NCI NIH HHS P30 CA056036NCI NIH HHS R01 CA170533NCI NIH HHS R01 CA206026
6 · The paper itself

Abstract

Success in pharmaceutical development led to a record 51 drugs approved in the past year, surpassing every previous year since 1950. Technology innovation enabled identification and exploitation of increasingly precise disease targets ensuring next generation diagnostic and therapeutic products for patient management. The expanding biopharmaceutical portfolio stands, however, in contradistinction to the unsustainable costs that reflect remarkable challenges of clinical development programs. This annual Therapeutic Innovations issue juxtaposes advances in translating molecular breakthroughs into transformative therapies with essential considerations for lowering attrition and improving the cost-effectiveness of the drug-development paradigm. Realizing the discovery-translation-application continuum mandates a congruent approval, adoption, and access triad.

Indexed as

Drug DesignCost-Benefit AnalysisDiffusion of InnovationDrug ApprovalDrug DiscoveryHumansTranslational Research, Biomedical

Identifiers

PMID27869291
PMCPMC5764073

What OpenQuestion holds

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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.