Evidence map›Paper›PMID 33159660›Full record

ArticleCerebellum (London, England)2021

Using the Schmahmann Syndrome Scale to Assess Cognitive Impairment in Young Adults with Metabolic Syndrome: a Hypothesis-Generating Report.

Eithan Kotkowski, Larry R Price, Cheasequah J Blevins, Crystal G Franklin, Mary D Woolsey, Ralph A DeFronzo, John Blangero, Ravindranath Duggirala, David C Glahn, Jeremy D Schmahmann and 1 more

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Cerebellum (London, England), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 40% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. 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

11 authors at 6 institutions in 1 country.

Eithan KotkowskiResearch Imaging Institute, University of Texas Health Science Center at San Antonio, 7703 Floyd Curl Dr, San Antonio, TX, 78229, USA. Kotkowski@uthscsa.edu.ORCID http://orcid.org/0000-0002-4947-1343
Larry R PriceMethodology, Measurement & Statistical Analysis Center, Texas State University, San Marcos, TX, USA.
Cheasequah J BlevinsMathematical Biosciences Institute, The Ohio State University, Columbus, OH, USA.
Crystal G FranklinResearch Imaging Institute, University of Texas Health Science Center at San Antonio, 7703 Floyd Curl Dr, San Antonio, TX, 78229, USA.
Mary D WoolseyResearch Imaging Institute, University of Texas Health Science Center at San Antonio, 7703 Floyd Curl Dr, San Antonio, TX, 78229, USA.
Ralph A DeFronzoTexas Diabetes Institute, San Antonio, TX, USA.
John BlangeroGenomics Computing Center, South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley, Brownsville, TX, USA.
Ravindranath DuggiralaGenomics Computing Center, South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley, Brownsville, TX, USA.
David C GlahnDepartment of Psychiatry, Yale University School of Medicine, New Haven, CT, USA.
Jeremy D SchmahmannAtaxia Unit, Cognitive Behavioral Neurology Unit, Laboratory for Neuroanatomy and Cerebellar Neurobiology, Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
Peter T FoxResearch Imaging Institute, University of Texas Health Science Center at San Antonio, 7703 Floyd Curl Dr, San Antonio, TX, 78229, USA.
The University of Texas Health Science Center at San Antonio · USThe University of Texas Rio Grande Valley · USHartford Hospital · USHarvard University · USTexas State University · USThe Ohio State University · US

Funding

Meta-anaylsis in human brain mappingR01MH074457 · NIMH · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI FOX, PETER THORNTON · 2006 to 2024
$10.5M
Genetic Analysis and Manipulation Core (GAEC)P50HD105351 · NICHD · BOSTON CHILDREN'S HOSPITAL · PI SCOTT Loren POMEROY, MUSTAFA SAHIN · 2021 to 2026
$9.4M
Imaging Genomics of the Aging BrainR01AG058464 · NIA · YALE UNIVERSITY · PI BLANGERO, JOHN, GLAHN, DAVID C · 2018 to 2022
$3.9M
NRSA Training Core (TL1)TL1TR002647 · NCATS · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI CHUN, YONG-HEE PATRICIA, FREI, CHRISTOPHER R. · 2018 to 2022
$1.8M
South Texas Medical Scientist Training Program (STX-MSTP)T32GM113896 · NIGMS · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI CAVAZOS, JOSE E · 2018 to 2022
$1.1M
Meta-analysis in human brain mappingR56MH074457 · NIMH · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI FOX, PETER THORNTON · 2020 to 2020
$543k
NCATS NIH HHS TL1 TR002647NCATS NIH HHS TL1TR002647-01NIA NIH HHS R01 AG058464NICHD NIH HHS P50 HD105351NIGMS NIH HHS T32 GM113896NIH HHS T32GM113898NIMH NIH HHS R01 MH074457NIMH NIH HHS R01MH074457-11S1NIMH NIH HHS R56 MH074457
6 · The paper itself

Abstract

The posterior cerebellum is the most significantly compromised brain structure in individuals with metabolic syndrome (MetS) (Hum Brain Mapp 40(12):3575-3588, 2019). In light of this, we hypothesized that cognitive decline reported in patients with MetS is likely related to posterior cerebellar atrophy. In this study, we performed a post hoc analyses using T1-weighted magnetic resonance imaging (MRI), diffusion tensor imaging (DTI) in the form of voxel-wise tract-based spatial statistics (TBSS), biometric, and psychometric data from young participants with (n = 52, aged 18-35 years) and without MetS (n = 52, aged 18-35 years). To test the predictive value of components of the Schmahmann syndrome scale (SSS), also known as the cerebellar cognitive affective syndrome scale, we used structural equation modeling to adapt available psychometric scores in our participant sample to the SSS and compare them to the composite score of all psychometric data available. Our key findings point to a statistically significant correlation between TBSS fractional anisotropy (FA) values from DTI and adapted SSS psychometric scores in individuals with MetS (r

Indexed as

AdolescentAdultCerebellumCognitive DysfunctionCross-Sectional StudiesFemaleHumansMaleMetabolic SyndromeMood DisordersNeuroimagingSeverity of Illness IndexSyndromeYoung AdultCerebellumCognitive cerebellar affective syndromeDiffusion tensor imagingMagnetic resonance imagingMetabolic syndromeSchmahmann’s syndromeType 2 diabetes mellitusVoxel-based morphometry

Identifiers

PMID33159660
PMCPMC8005432
OpenAlexW3097841285

What OpenQuestion holds

Textmetadata
LicenceTDM
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.