Evidence map›Paper›PMID 28412946›Full record

ArticleBMC neurology2017

Big data and data repurposing - using existing data to answer new questions in vascular dementia research.

Fergus N Doubal, Myzoon Ali, G David Batty, Andreas Charidimou, Maria Eriksdotter, Martin Hofmann-Apitius, Yun-Hee Kim, Deborah A Levine, Gillian Mead, Hermann A M Mucke and 6 more

Abstract read
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In one paragraph

Article in BMC neurology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

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

  1. UK consensus on pre-clinical vascular cognitive impairment functional outcomes assessment: Questionnaire and workshop proceedings.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2020
    Pooled it
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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

16 authors.

Fergus N DoubalStroke Association Garfield Weston Foundation Clinical Senior Lecturer, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK. Fergus.doubal@ed.ac.uk.
Myzoon AliVISTA and VICCTA Coordinator, Institutes of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK.
G David BattyReader in Epidemiology, Department of Epidemiology & Public Health, University College London, London, UK.
Andreas CharidimouJ Philip Kistler Stroke Research Centre, Department of neurology, Massachusetts General Hospital Stroke Research Centre, Harvard medical School, Boston, MA, USA.
Maria EriksdotterDivision of Clinical Geriatrics, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and department of Geriatric Medicine, Karolinska university hospital, Stockholm, Sweden.
Martin Hofmann-ApitiusChair and Head of Department, Fraunhofer Institute for Algorithms and Scientific Computing, Schloss Birlinghoven, Sankt Augustin, Germany.
Yun-Hee KimDepartment of Physical and Rehabilitation Medicine, Centre for Prevention and Rehabilitation, Heart Vascular and Stroke Institute, Samsung Medical Centre, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
Deborah A LevineDepartment of Internal Medicine, University of Michigan and the VA Ann Arbor Healthcare System, Ann Arbor, MI, USA.
Gillian MeadCentre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK.
Hermann A M MuckeLife Sciences Consultant, H.M. Pharma Consultancy, Wien, Austria.
Craig W RitchieCentre for Dementia Prevention, University of Edinburgh, Edinburgh, UK.
Charlotte J RobertsICHOM International Consortium for Health Outcomes Measurement, Hamilton House, Mabledon Place, London, WC1H 9BB, UK.
Tom C RussMarjorie MacBeath Intermediate Clinical Fellow, Alzheimer Scotland Dementia Research Centre, & Centre for Dementia Prevention, University of Edinburgh, Edinburgh, UK.
Robert StewartKing's College London (Institute of Psychiatry, Psychology and Neuroscience), South London and Maudsley NHS Foundation Trust, London, UK.
William WhiteleyMRC Clinician Scientist and Honorary Consultant Neurologist, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK.
Terence J QuinnInstitute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK.

Funding

Medical Research Council MR/L023784/1Medical Research Council MR/L023784/2
6 · The paper itself

Abstract

introductionTraditional approaches to clinical research have, as yet, failed to provide effective treatments for vascular dementia (VaD). Novel approaches to collation and synthesis of data may allow for time and cost efficient hypothesis generating and testing. These approaches may have particular utility in helping us understand and treat a complex condition such as VaD.

methodsWe present an overview of new uses for existing data to progress VaD research. The overview is the result of consultation with various stakeholders, focused literature review and learning from the group's experience of successful approaches to data repurposing. In particular, we benefitted from the expert discussion and input of delegates at the 9

resultsWe agreed on key areas that could be of relevance to VaD research: systematic review of existing studies; individual patient level analyses of existing trials and cohorts and linking electronic health record data to other datasets. We illustrated each theme with a case-study of an existing project that has utilised this approach.

conclusionsThere are many opportunities for the VaD research community to make better use of existing data. The volume of potentially available data is increasing and the opportunities for using these resources to progress the VaD research agenda are exciting. Of course, these approaches come with inherent limitations and biases, as bigger datasets are not necessarily better datasets and maintaining rigour and critical analysis will be key to optimising data use.

Indexed as

Biomedical ResearchDementia, VascularMetadataHumansBig dataClinical TrialsCohort studiesDataDementiaElectronic health recordsRegistriesSystematic reviewVascular dementia

Identifiers

PMID28412946
PMCPMC5392951

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.