Evidence map›Paper›PMID 33142859›Full record

ArticleCells2020

Metabolic Profiling of CSF from People Suffering from Sporadic and LRRK2 Parkinson's Disease: A Pilot Study.

Ali Yilmaz, Zafer Ugur, Ilyas Ustun, Sumeyya Akyol, Ray O Bahado-Singh, Michael Maddens, Jan O Aasly, Stewart F Graham

Open access · goldAbstract read
In one paragraph

Article in Cells, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
0.7field-weighted citation impact, top 24% 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

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 16 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

8 authors at 4 institutions in 2 countries.

Ali YilmazMetabolomics Department, Beaumont Research Institute, Beaumont Health, Royal Oak, MI 48073, USA.
Zafer UgurMetabolomics Department, Beaumont Research Institute, Beaumont Health, Royal Oak, MI 48073, USA.
Ilyas UstunCollege of Computing and Digital Media, DePaul University, Chicago, IL 60604, USA.
Sumeyya AkyolMetabolomics Department, Beaumont Research Institute, Beaumont Health, Royal Oak, MI 48073, USA.
Ray O Bahado-SinghMetabolomics Department, Beaumont Research Institute, Beaumont Health, Royal Oak, MI 48073, USA.
Michael MaddensOakland University-William Beaumont School of Medicine, Rochester, MI 48309, USA.
Jan O AaslyDepartment of Neurology, St. Olavs Hospital and Department of Neuroscience, Norwegian University of Science and Technology, Trondheim, 7030, Norway.
Stewart F GrahamMetabolomics Department, Beaumont Research Institute, Beaumont Health, Royal Oak, MI 48073, USA.
Oakland University · USBeaumont Health · USDePaul University · USNorwegian University of Science and Technology · NO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

CSF from unique groups of Parkinson's disease (PD) patients was biochemically profiled to identify previously unreported metabolic pathways linked to PD pathogenesis, and novel biochemical biomarkers of the disease were characterized. Utilizing both

Indexed as

MetabolomeAgedBile Acids and SaltsCerebrospinal FluidChromatography, LiquidFemaleGenetic Predisposition to DiseaseHumansLeucine-Rich Repeat Serine-Threonine Protein Kinase-2Machine LearningMaleMiddle AgedMutationParkinson DiseasePilot ProjectsProton Magnetic Resonance SpectroscopyBile Acids and SaltsLeucine-Rich Repeat Serine-Threonine Protein Kinase-2LRRK2 protein, human1H NMRmachine learningmetabolic pathways. Parkinson’s diseasemetabolomicstargeted mass spectrometry

Identifiers

PMID33142859
PMCPMC7693941
OpenAlexW3097741037

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.