Evidence map›Paper›PMID 22918200›Full record

ReviewJournal of investigative medicine : the official publication of the American Federation for Clinical Research2012

Translational research and the evolving landscape for biomedical innovation.

Kenneth I Kaitin

Abstract readReview
In one paragraph

Review in Journal of investigative medicine : the official publication of the American Federation for Clinical Research, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

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

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

  1. Pooled it
  2. Article
  3. Transforming the practice of medicine through team science.Health research policy and systems · 2020
    Article
  4. Review
  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

1 author.

Kenneth I KaitinTufts Center for the Study of Drug Development, Tufts University School of Medicine, Tufts University, Boston, MA 02111, USA. kenneth.kaitin@tufts.edu

Funding

TUFTS CLINICAL AND TRANSLATION SCIENCE INSTITUTE (UL1): BPCAUL1RR025752 · NCRR · TUFTS UNIVERSITY BOSTON · PI SELKER, HARRY P. · 2008 to 2011
$17.6M
AFMR-Translational Medical Research Symposia SeriesR13RR023236 · NCRR · AMERICAN FEDERATION FOR MEDICAL RESEARCH · PI ZUCKER, DEBORAH R · 2006 to 2010
$263k
NCRR NIH HHS R13 RR023236NCRR NIH HHS UL1 RR025752
6 · The paper itself

Abstract

This article addresses current challenges facing pharmaceutical and biopharmaceutical developers, including the expiration of patents on many high-revenue-generating products, increasing competition in the marketplace, low public support, high regulatory hurdles, and the increasing time, cost, and risk of new product development. To meet these challenges, drug developers are looking to new models of innovation to improve efficiency, lower risk, and increase output. These new models include codevelopment agreements with small companies, multicompany consortia, and strategic partnerships with academic research centers. In the United States and the European Union, the government is supporting these efforts by creating incentives for academic centers to foster translational research and become more "commercially minded". The goal for all stakeholders is to reduce the barriers to product development and bring new medicines to market in a timely and cost-efficient manner.

Indexed as

Academies and InstitutesCooperative BehaviorDrug IndustryOrganizational InnovationTime FactorsTranslational Research, Biomedical

Identifiers

PMID22918200
PMCPMC3667665

What OpenQuestion holds

Textmetadata
LicenceTDM
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.