Evidence map›Paper›PMID 33807004›Full record

ArticleInternational journal of environmental research and public health2021

The Impact of Multiple Sclerosis Disease Status and Subtype on Hematological Profile.

Jacob M Miller, Jeremy T Beales, Matthew D Montierth, Farren B Briggs, Scott F Frodsham, Mary Feller Davis

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 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
–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

6 authors.

Jacob M MillerDepartment of Microbiology and Molecular Biology, Brigham Young University, Provo, UT 84602, USA.ORCID 0000-0001-9174-1362
Jeremy T BealesDepartment of Microbiology and Molecular Biology, Brigham Young University, Provo, UT 84602, USA.ORCID 0000-0001-6777-5108
Matthew D MontierthDepartment of Microbiology and Molecular Biology, Brigham Young University, Provo, UT 84602, USA.
Farren B BriggsDepartment of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH 44106, USA.ORCID 0000-0003-0903-1359
Scott F FrodshamDivision of Nephrology and Hypertension, University of Utah, Salt Lake City, UT 84112, USA.
Mary Feller DavisDepartment of Microbiology and Molecular Biology, Brigham Young University, Provo, UT 84602, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Multiple sclerosis (MS) is an immune-mediated, demyelinating disease of the central nervous system. In this study, an MS cohort and healthy controls were stratified into Caucasian and African American groups. Patient hematological profiles-composed of complete blood count (CBC) and complete metabolic panel (CMP) test values-were analyzed to identify differences between MS cases and controls and between patients with different MS subtypes. Additionally, random forest models were used to determine the aggregate utility of common hematological tests in determining MS disease status and subtype. The most significant and relevant results were increased bilirubin and creatinine in MS cases. The random forest models achieved some success in differentiating between MS cases and controls (AUC values: 0.725 and 0.710, respectively) but were not successful in differentiating between subtypes. However, larger samples that adjust for possible confounding variables, such as treatment status, may reveal the value of these tests in differentiating between MS subtypes.

Indexed as

Multiple SclerosisCentral Nervous SystemCohort StudiesHumanselectronic health recordsmultiple sclerosisrandom forest

Identifiers

PMID33807004
PMCPMC8004915

What OpenQuestion holds

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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.