Evidence map›Paper›PMID 27688944›Full record

ArticleBrain and behavior2016

Reliable measurements of brain atrophy in individual patients with multiple sclerosis.

Dirk Smeets, Annemie Ribbens, Diana M Sima, Melissa Cambron, Dana Horakova, Saurabh Jain, Anke Maertens, Eline Van Vlierberghe, Vasilis Terzopoulos, Anne-Marie Van Binst and 9 more

Abstract read
In one paragraph

Article in Brain and behavior, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed, 5 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

44 citing papers in PubMed, 5 syntheses or guidelines pooled it.

  1. 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

19 authors.

Dirk SmeetsR&Dicometrix Leuven Belgium; BioImaging Lab Universiteit Antwerpen Antwerp Belgium.
Annemie RibbensR&D icometrix Leuven Belgium.
Diana M SimaR&D icometrix Leuven Belgium.
Melissa CambronDepartment of Neurology Center for Neurosciences Universitair Ziekenhuis Brussel, Vrije Universiteit Brussel (VUB) Brussel Belgium.
Dana HorakovaDepartment of Neurology and Center of Clinical Neuroscience Charles University in Prague First Faculty of Medicine and General University Hospital Prague Czech Republic.
Saurabh JainR&D icometrix Leuven Belgium.
Anke MaertensR&D icometrix Leuven Belgium.
Eline Van VlierbergheR&D icometrix Leuven Belgium.
Vasilis TerzopoulosR&D icometrix Leuven Belgium.
Anne-Marie Van BinstDepartment of Neurology Center for Neurosciences Universitair Ziekenhuis Brussel, Vrije Universiteit Brussel (VUB) Brussel Belgium.
Manuela VaneckovaDepartment of Radiology 1st Faculty of Medicine and General University Hospital Charles University Prague Czech Republic.
Jan KrasenskyDepartment of Radiology 1st Faculty of Medicine and General University Hospital Charles University Prague Czech Republic.
Tomas UherDepartment of Neurology and Center of Clinical Neuroscience Charles University in Prague First Faculty of Medicine and General University Hospital Prague Czech Republic.
Zdenek SeidlDepartment of Radiology 1st Faculty of Medicine and General University Hospital Charles University Prague Czech Republic.
Jacques De KeyserDepartment of Neurology Center for Neurosciences Universitair Ziekenhuis Brussel, Vrije Universiteit Brussel (VUB) Brussel Belgium.
Guy NagelsNational Multiple Sclerosis Centrum Melsbroek Belgium.
Johan De MeyDepartment of Neurology Center for Neurosciences Universitair Ziekenhuis Brussel, Vrije Universiteit Brussel (VUB) Brussel Belgium.
Eva HavrdovaDepartment of Neurology and Center of Clinical Neuroscience Charles University in Prague First Faculty of Medicine and General University Hospital Prague Czech Republic.
Wim Van HeckeR&D icometrix Leuven Belgium.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionAs neurodegeneration is recognized as a major contributor to disability in multiple sclerosis (MS), brain atrophy quantification could have a high added value in clinical practice to assess treatment efficacy and disease progression, provided that it has a sufficiently low measurement error to draw meaningful conclusions for an individual patient.

methodIn this paper, we present an automated longitudinal method based on Jacobian integration for measuring whole-brain and gray matter atrophy based on anatomical magnetic resonance images (MRI), named MS

resultsMS

conclusionTherefore, we can conclude that MS

Indexed as

brain atrophymagnetic resonance imagesMSmetrixmultiple sclerosis

Identifiers

PMID27688944
PMCPMC5036437

What OpenQuestion holds

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LicenceCC BY
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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.