Increasing clinical translation of experimental stroke research: new approaches to systematic review

Información del proyecto

PreclinSR

Identificador del acuerdo de subvención: 702213

DOI

10.3030/702213

Proyecto cerrado

Fecha de la firma de la CE 4 Abril 2016

Fecha de inicio 1 Noviembre 2016

Fecha de finalización 31 Octubre 2018

Financiado con arreglo a

• EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions

Coste total

€ 183 454,80

Aportación de la UE

€ 183 454,80

Coordinado por

THE UNIVERSITY OF EDINBURGH
United Kingdom

Periodic Reporting for period 1 - PreclinSR (Increasing clinical translation of experimental stroke research: new approaches to systematic review)

Período documentado: 2016-11-01 hasta 2018-10-31

Resumen del contexto y de los objetivos generales del proyecto

Stroke is a leading cause of death and disability; despite substantial investment in preclinical research and clinical trials, few effective treatments are available. A possible reason for this is that preclinical data are not used efficiently in the design of clinical trials, through a lack of rigorous critical appraisal or objective assessment of the preclinical evidence offered. The objectives here were firstly to establish a role for network meta-analysis in establishing the effectiveness of novel compounds in the context of the evidence for effectiveness of existing compounds, to establish whether the new compound offers material advantages; and secondly to establish a framework for the collation of such data, collected in the context of systematic review, using a common standard format to ensure inter-operability.

Trabajo realizado desde el comienzo del proyecto hasta el final del período abarcado por el informe y los principales resultados hasta la fecha

The network meta-analysis approach was first piloted in a review of the protective effect of anaesthetics in rodent models of traumatic brain injury, and that work is now published (doi 10.1016/j.bja.2018.07.024). Application of the approach in the stroke literature, and a collaborative review article setting out the strengths and weaknesses of this approach, are close to submission. We have collated and cleaned data for outcomes assessed in over 3500 publications describing animal models of stroke. These data are currently in the last stages of validation (using text mining approaches) after which they will be made available in standard ontology, identified with a DoI and published in the Edinburgh Data Archive. Accompanying this we are in the late stages of developing data visualisation tools which will be made available online through the CAMARADES website.

Avances que van más allá del estado de la técnica e impacto potencial esperado (incluida la repercusión socioeconómica y las implicaciones sociales más amplias del proyecto hasta la fecha)

The most exciting outputs are firstly the demonstration of the feasibility of network meta-analysis as applied to data from animal studies; and secondly the application of standard ontologies and data visualisations to information already collected in the context of systematic reviews. While funders have been hesitant to recognise the transformative potential of this approach, we believe that linking these tools to emerging technologies in living systematic reviews will have a major impact, allowing researchers access to curated, up to date summaries of existing knowledge annotated for the risks of bias in individual studies.

Network Meta-analysis diagram