Evidence map›Paper›PMID 29265398›Full record

ArticleClinical pharmacology and therapeutics2018

Process Improvement for Maximized Therapeutic Innovation Outcome.

Scott A Waldman, Andre Terzic

Abstract readEditorial
In one paragraph

Article in Clinical pharmacology and therapeutics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Review
  2. Regenerative medicine clinical readiness.Regenerative medicine · 2021
    Review
  3. Review
  4. The Regenerative Horizon: Opportunities for Nursing Research and Practice.Journal of nursing scholarship : an official publication of Sigma Theta Tau International Honor Society of Nursing · 2019
    Article
  5. Health Care Evolves From Reactive to Proactive.Clinical pharmacology and therapeutics · 2019
    Article
  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

2 authors.

Scott A WaldmanDepartment of Pharmacology and Experimental Therapeutics, Division of Clinical Pharmacology, Department of Medicine, Thomas Jefferson University, Philadelphia, Pennsylvania, USA.
Andre 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
Guanylin GUCY2C axis in Colorectal Cancer InitiationR01CA204481 · NCI · THOMAS JEFFERSON UNIVERSITY · PI WALDMAN, SCOTT A · 2017 to 2021
$1.8M
(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
NCI NIH HHS P30 CA056036NCI NIH HHS R01 CA204481NCI NIH HHS R01 CA206026
6 · The paper itself

Abstract

Deconvoluting key biological mechanisms forms the framework for therapeutic discovery. Strategies that enable effective translation of those insights along the development and regulatory path ultimately drive validated clinical application in patients and populations. Accordingly, parity in What vs. How we transform novel mechanistic insights into therapeutic paradigms is essential in achieving success. Aligning molecular discovery with innovations in structures and processes along the discovery-development-regulation-utilization continuum maximizes the return on public and private investments for next-generation solutions in managing health and disease.

Indexed as

Drug and Narcotic ControlTranslational Research, BiomedicalDiffusion of InnovationDrug DiscoveryHumansMedication Therapy ManagementQuality Improvement

Identifiers

PMID29265398
PMCPMC5745039

What OpenQuestion holds

Textmetadata
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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.