Evidence map›Paper›PMID 30616680›Full record

ArticleTrials2019

Longitudinal multi-centre brain imaging studies: guidelines and practical tips for accurate and reproducible imaging endpoints and data sharing.

Stewart J Wiseman, Rozanna Meijboom, Maria Del C Valdés Hernández, Cyril Pernet, Eleni Sakka, Dominic Job, Adam D Waldman, Joanna M Wardlaw

Abstract readMulticenter Study
In one paragraph

Article in Trials, 2019. 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

8 authors.

Stewart J WisemanEdinburgh Imaging and Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK. Stewart.Wiseman@ed.ac.uk.ORCID http://orcid.org/0000-0001-6739-5797
Rozanna MeijboomEdinburgh Imaging and Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK.
Maria Del C Valdés HernándezEdinburgh Imaging and Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK.
Cyril PernetEdinburgh Imaging and Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK.
Eleni SakkaEdinburgh Imaging and Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK.
Dominic JobEdinburgh Imaging and Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK.
Adam D WaldmanEdinburgh Imaging and Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK.
Joanna M WardlawEdinburgh Imaging and Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK.

Funding

Medical Research Council G0701120Medical Research Council G1001245Medical Research Council MR/M013111/1Medical Research Council MR/R024065/1
6 · The paper itself

Abstract

backgroundResearch involving brain imaging is important for understanding common brain diseases. Study endpoints can include features and measures derived from imaging modalities, providing a benchmark against which other phenotypical data can be assessed. In trials, imaging data provide objective evidence of beneficial and adverse outcomes. Multi-centre studies increase generalisability and statistical power. However, there is a lack of practical guidelines for the set-up and conduct of large neuroimaging studies.

methodsWe address this deficit by describing aspects of study design and other essential practical considerations that will help researchers avoid common pitfalls and data loss.

resultsThe recommendations are grouped into seven categories: (1) planning, (2) defining the imaging endpoints, developing an imaging manual and managing the workflow, (3) performing a dummy run and testing the analysis methods, (4) acquiring the scans, (5) anonymising and transferring the data, (6) monitoring quality, and (7) using structured data and sharing data.

conclusionsImplementing these steps will lead to valuable and usable data and help to avoid imaging data wastage.

Indexed as

Information DisseminationPractice Guidelines as TopicBrainEndpoint DeterminationHumansLongitudinal StudiesMagnetic Resonance ImagingPositron-Emission TomographyQuality ControlReproducibility of ResultsResearch DesignBig dataData sharingGuidelinesLongitudinalMagnetic resonance imagingMulti-centreStudy design

Identifiers

PMID30616680
PMCPMC6323670

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.