Evidence map›Paper›PMID 30368196›Full record

ArticleNeuroImage. Clinical2018

Non-invasive assessment of disease progression and neuroprotective effects of dietary coconut oil supplementation in the ALS SOD1

A Weerasekera, D M Sima, T Dresselaers, S Van Huffel, P Van Damme, U Himmelreich

Open access · goldAbstract read
In one paragraph

Article in NeuroImage. Clinical, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.2field-weighted citation impact, top 21% of its field
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

10 citing papers in PubMed, 22 citations in OpenAlex.

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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

6 authors at 2 institutions in 1 country.

A WeerasekeraBiomedical MRI Unit/MoSAIC, Department of Imaging and Pathology, KU Leuven, Leuven, Belgium.
D M SimaDepartment of Electrical Engineering (ESAT), STADIUS Center for Dynamical Systems, Signal Processing and Data Analytics, KU Leuven, Leuven, Belgium; icometrix, R&D department, Leuven, Belgium.
T DresselaersRadiology, Department of Imaging and Pathology, UZ Leuven, Leuven, Belgium.
S Van HuffelDepartment of Electrical Engineering (ESAT), STADIUS Center for Dynamical Systems, Signal Processing and Data Analytics, KU Leuven, Leuven, Belgium.
P Van DammeDepartment of Neurology, University Hospitals Leuven, Laboratory of Neurobiology, Leuven, Belgium; Department of Neurosciences, KU Leuven, Center for Brain & Disease Research, VIB, Leuven, Belgium.
U HimmelreichBiomedical MRI Unit/MoSAIC, Department of Imaging and Pathology, KU Leuven, Leuven, Belgium. Electronic address: uwe.himmelreich@kuleuven.be.
KU Leuven · BEIcometrix (Belgium) · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Amyotrophic Lateral Sclerosis (ALS) is an incurable neurodegenerative disease primarily characterized by progressive degeneration of motor neurons in the motor cortex, brainstem and spinal cord. Due to relatively fast progression of ALS, early diagnosis is essential for possible therapeutic intervention and disease management. To identify potential diagnostic markers, we investigated age-dependent effects of disease onset and progression on regional neurochemistry in the SOD1

Indexed as

Disease ProgressionAmyotrophic Lateral SclerosisAnimalsBehavior, AnimalCoconut OilDisease Models, AnimalMagnetic Resonance ImagingMagnetic Resonance SpectroscopyMice, TransgenicNeuroprotective AgentsSpinal CordCoconut OilNeuroprotective AgentsAmyotrophic lateral sclerosisBrain metabolismCoconut oilCreatineMagnetic resonance spectroscopySOD1G93A

Identifiers

PMID30368196
PMCPMC6202692
OpenAlexW2891426447

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.