Evidence map›Paper›PMID 31793876›Full record

ArticleeLife2019

Differences in topological progression profile among neurodegenerative diseases from imaging data.

Sara Garbarino, Marco Lorenzi, Neil P Oxtoby, Elisabeth J Vinke, Razvan V Marinescu, Arman Eshaghi, M Arfan Ikram, Wiro J Niessen, Olga Ciccarelli, Frederik Barkhof and 4 more

Abstract read
In one paragraph

Article in eLife, 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.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Review
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  7. Observational
  8. Article
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

14 authors.

Sara GarbarinoCentre for Medical Image Computing, Department of Computer Science, University College London, London, United Kingdom.ORCID 0000-0002-3583-3630
Marco LorenziUniversité Côte d'Azur, Inria, Epione Research Project, Sophia Antipolis, France.
Neil P OxtobyCentre for Medical Image Computing, Department of Computer Science, University College London, London, United Kingdom.ORCID 0000-0003-0203-3909
Elisabeth J VinkeDepartment of Epidemiology, Erasmus Medical Center, Rotterdam, Netherlands.
Razvan V MarinescuCentre for Medical Image Computing, Department of Computer Science, University College London, London, United Kingdom.
Arman EshaghiCentre for Medical Image Computing, Department of Computer Science, University College London, London, United Kingdom.
M Arfan IkramDepartment of Epidemiology, Erasmus Medical Center, Rotterdam, Netherlands.
Wiro J NiessenDepartment of Radiology and Nuclear medicine, Erasmus MC, Rotterdam, Netherlands.
Olga CiccarelliQueen Square Multiple Sclerosis Centre, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, United Kingdom.
Frederik BarkhofCentre for Medical Image Computing, Department of Computer Science, University College London, London, United Kingdom.ORCID 0000-0003-3543-3706
Jonathan M SchottDementia Research Centre, Institute of Neurology, University College London, London, United Kingdom.
Meike W VernooijDepartment of Epidemiology, Erasmus Medical Center, Rotterdam, Netherlands.
Daniel C AlexanderCentre for Medical Image Computing, Department of Computer Science, University College London, London, United Kingdom.
Alzheimer’s Disease Neuroimaging Initiative

Funding

Alzheimer's Disease Neuroimaging Initiative - SupplementU01AG024904 · NIA · NORTHERN CALIFORNIA INSTITUTE RES &EDUC · PI WEINER, MICHAEL W · 2004 to 2015
$121.0M
Engineering and Physical Sciences Research Council EP/J020990/01Engineering and Physical Sciences Research Council EP/M020533/1Horizon 2020 Framework Programme 666992Michael J Fox Foundation BAND 15 368107 11042Michael J. Fox Foundation BAND 15 368107 11042NIA NIH HHS U01 AG024904UCA Jedi ANX 15 IDEX 01Université Côte d'Azur UCAJEDI ANX 15 IDEX 01
6 · The paper itself

Abstract

The spatial distribution of atrophy in neurodegenerative diseases suggests that brain connectivity mediates disease propagation. Different descriptors of the connectivity graph potentially relate to different underlying mechanisms of propagation. Previous approaches for evaluating the influence of connectivity on neurodegeneration consider each descriptor in isolation and match predictions against late-stage atrophy patterns. We introduce the notion of a

Indexed as

Disease ProgressionAgingAlzheimer DiseaseAtrophyBrainCohort StudiesConnectomeHumansMagnetic Resonance ImagingMultiple Sclerosis, Chronic ProgressiveNeurodegenerative DiseasesPositron-Emission Tomographyageingalzheimer's diseasecomputational biologyconnectivitydisease progression modellinghumanmultiple sclerosisneurodegenerationneurosciencesystems biology

Identifiers

PMID31793876
PMCPMC6922631

What OpenQuestion holds

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Registered trials

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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.