Evidence map›Paper›PMID 41821638›Full record

ReviewFrontiers in neurology

Increasing the rigor of body composition and adiposity measurement in multiple sclerosis research.

Meghan G Taylor, Amy Goss, Brooks C Wingo

Abstract readReview
In one paragraph

Review in Frontiers in neurology. 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
–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

1 citing paper in PubMed.

  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

3 authors.

Meghan G TaylorDepartment of Nutrition Sciences, University of Alabama at Birmingham, Birmingham, AL, United States.
Amy GossDepartment of Nutrition Sciences, University of Alabama at Birmingham, Birmingham, AL, United States.
Brooks C WingoDepartment of Occupational Therapy, University of Alabama at Birmingham, Birmingham, AL, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Multiple sclerosis (MS) is an immune-mediated neurodegenerative disease that affects nearly 1 million adults in the United States, and over half of this population also has overweight or obesity. The compounding effect of multiple disease states could increase disease progression and worsen MS symptoms. MS researchers frequently use anthropometric measures, such as BMI and waist circumference, as an assessment of obesity. However, these measurements do not provide a direct assessment of types or location of adipose tissue, which may provide a more accurate assessment of adiposity-related health risk. The main objectives of this mini review are to provide a brief overview of current adiposity measurement techniques in MS research and highlight potential benefits of using more rigorous indirect and direct techniques to measure total, regional, and specific fat depots.

Indexed as

adipose tissuebody compositiondual energy X-ray absorptiometrymagnetic resonance imagingmultiple sclerosis

Identifiers

PMID41821638
PMCPMC12975585

What Socratic 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 Socratic graph.