Evidence map›Paper›PMID 31792698›Full record

ArticleJournal of materials science. Materials in medicine2019

Translational Research Symposium-collaborative efforts as driving forces of healthcare innovation.

João Q Coentro, Andrea De Pieri, Diana Gaspar, Dimitrios Tsiapalis, Dimitrios I Zeugolis, Yves Bayon

Abstract read
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In one paragraph

Article in Journal of materials science. Materials in medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

João Q CoentroRegenerative, Modular & Developmental Engineering Laboratory (REMODEL), National University of Galway Ireland (NUI Galway), Galway, Ireland.
Andrea De PieriRegenerative, Modular & Developmental Engineering Laboratory (REMODEL), National University of Galway Ireland (NUI Galway), Galway, Ireland.
Diana GasparRegenerative, Modular & Developmental Engineering Laboratory (REMODEL), National University of Galway Ireland (NUI Galway), Galway, Ireland.
Dimitrios TsiapalisRegenerative, Modular & Developmental Engineering Laboratory (REMODEL), National University of Galway Ireland (NUI Galway), Galway, Ireland.
Dimitrios I ZeugolisRegenerative, Modular & Developmental Engineering Laboratory (REMODEL), National University of Galway Ireland (NUI Galway), Galway, Ireland.
Yves BayonMedtronic, Sofradim Production, Trevoux, France. yves.bayon@medtronic.com.

Funding

European Commission Horizon 2020, Marie Skłodowska-Curie Actions, Innovative Training Networks 2015, Tendon Therapy Train project 676338
6 · The paper itself

Abstract

The 5th Translational Research Symposium was organised at the annual meeting of the European Society for Biomaterials 2018, Maastricht, the Netherlands, with emphasis on the future of emerging and smart technologies for healthcare in Europe. Invited speakers from academia and industry highlighted the vision and expectations of healthcare in Europe beyond 2020 and the perspectives of innovation stakeholders, such as small and medium enterprises, large companies and Universities. The aim of the present article is to summarise and explain the main statements made during the symposium, with particular attention on the need to identify unmet clinical needs and their efficient translation into healthcare solutions through active collaborations between all the participants involved in the value chain.

Indexed as

Drug IndustryHealth Services ResearchTranslational Research, BiomedicalErythromycin EthylsuccinateHumansErythromycin Ethylsuccinate

Identifiers

What OpenQuestion holds

Textmetadata
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.