Evidence map›Paper›PMID 27301976›Full record

ArticleTranslational stroke research2016

Academic-industry Collaborations in Translational Stroke Research.

Johannes Boltze, Daniel-Christoph Wagner, Henryk Barthel, Matthew J Gounis

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In one paragraph

Article in Translational stroke research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

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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.

Johannes BoltzeFraunhofer Research Institution for Marine Biotechnology and Institute for Medical and Marine Biotechnology, University of Lübeck, Mönkhofer Weg 239a, 23562, Lübeck, Germany. johannes.boltze@emb.fraunhofer.de.
Daniel-Christoph WagnerFraunhofer Institute for Cell Therapy and Immunology, Leipzig, Germany.
Henryk BarthelDepartment of Nuclear Medicine, University of Leipzig, Leipzig, Germany.
Matthew J GounisNew England Center for Stroke Research, Department of Radiology, University of Massachusetts Medical School, Worcester, MA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Academic-industry collaborations are an emerging format of translational stroke research. Next to classic contract research models, a multitude of collaboration models has been developed, some of which even allowing for multinational or intercontinental research programs. This development has recently been paralleled by first successful attempts to overcome the translational stroke research road block, such as the unprecedented success of novel endovascular approaches or the advent of the multicenter preclinical trial concept. While the first underlines the role of the industry as a major innovation driver in stroke research, the latter will require enrollment of industrial partners for optimal output. Moreover, academic-industry partnerships are invaluable to bridge the translational "valley of death" as well as funding gaps in times of dwindling public funding and declining high risk capital investments. However, these collaborations are also subject to relevant challenges because interests, values, and aims often significantly differ between cademia and industry. Here, we describe common academic-industry collaboration models as well as associated benefits and challenges in the stroke research arena. We also suggest strategies for improved planning, implementation, guidance, and utilization of academic-industry collaborations to the maximum mutual benefit.

Indexed as

Academies and InstitutesBiomedical ResearchIndustryTranslational Research, BiomedicalAnimalsCooperative BehaviorHumansInterprofessional RelationsStrokeAcademic-industry collaborationResearch alliancesStroke researchTranslational research

Identifiers

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.