Evidence map›Paper›PMID 32005135›Full record

ArticleAlzheimer's research & therapy2020

We need to think about data governance for dementia research in a digital era.

Richard Milne, Carol Brayne

Abstract read
In one paragraph

Article in Alzheimer's research & therapy, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

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

  1. Pooled it
  2. Ethical Considerations for Clinical Data Sharing in Craniofacial Research: Recommendations From a Multidisciplinary Working Group.The Cleft palate-craniofacial journal : official publication of the American Cleft Palate-Craniofacial Association · 2026
    Article
  3. Article
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  5. Review
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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

2 authors.

Richard MilneSociety and Ethics Research Group, Wellcome Genome Campus, Hinxton, UK. rm23@sanger.ac.uk.ORCID 0000-0002-8770-2384
Carol BrayneInstitute of Public Health, University of Cambridge, Cambridge, UK.

Funding

Medical Research Council MR/L023784/1Medical Research Council MR/L023784/2Wellcome Trust 206194
6 · The paper itself

Abstract

backgroundResearch into Alzheimer's disease and other dementias increasingly involves large-scale data-sharing initiatives. The development of novel digital tools and assessments is likely to increase the need for these. This presents ethics and governance challenges to ensure the use of these data is able to maximise the benefit to patients and the public. DISCUSSION: We consider the challenges associated with informed consent and governance in the context of dementia research. We set out the potential of novel data governance approaches for the future of data sharing for dementia. The data trust model proposed in discussions of data governance may have potentially valuable application for dementia research. Such inclusive approaches to trustworthy data governance should be considered as data-sharing initiatives are established and develop.

Indexed as

Biomedical ResearchDementiaInformation DisseminationInformed ConsentBig DataHumansMachine LearningData governanceData sharingData trustDementiaDigital healthEthics

Identifiers

PMID32005135
PMCPMC6995068

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.