Evidence map›Paper›PMID 36948201›Full record

ArticleArquivos de neuro-psiquiatria2023

Correlation of brain segmental volume changes with clinical parameters: a longitudinal study in multiple sclerosis patients.

Neslihan Eskut, Ali Murat Koc, Asli Koskderelioglu, Ismail Dilek, Mustafa Agah Tekindal

Open access · goldFull text read
In one paragraph

Article in Arquivos de neuro-psiquiatria, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.5field-weighted citation impact, top 34% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. Review
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

5 authors at 2 institutions in 1 country.

Neslihan EskutUniversity of Health Sciences, Izmir Bozyaka Education and Research Hospital, Department of Neurology, Izmir, Turkey.ORCID 0000-0003-1882-8992
Ali Murat KocIzmir Katip Celebi University, Ataturk Education and Research Hospital, Department of Radiology, Izmir, Turkey.ORCID 0000-0001-6824-4990
Asli KoskdereliogluUniversity of Health Sciences, Izmir Bozyaka Education and Research Hospital, Department of Neurology, Izmir, Turkey.ORCID 0000-0002-7828-6382
Ismail DilekUniversity of Health Sciences, Izmir Bozyaka Education and Research Hospital, Department of Radiology, Izmir, Turkey.ORCID 0000-0002-5398-7035
Mustafa Agah TekindalIzmir Katip Celebi University, Department of Biostatistics, Izmir, Turkey.ORCID 0000-0002-4060-7048
Izmir University · TRIzmir Kâtip Çelebi University · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo measure the cranial volume differences from 15 different parts in the follow-up of relapsing-remitting multiple sclerosis (RRMS) patients and correlate them with clinical parameters.

methodsForty-seven patients with RRMS were included in the study. Patients were grouped into two categories; low Expanded Disability Status Scale (EDSS) (< 3; group 1), and moderate-high EDSS (≥ 3; group 2). Patients were evaluated with Beck Depression Inventory (BDI), Montreal Cognitive Assessment (MOCA), Symbol Digit Modalities Test (SDMT), Fatigue Severity Scale (FSS), and calculated Annualized Relapse Rate (ARR) scores. Magnetic resonance imaging (MRI) was performed with a 1.5T MRI device (Magnetom AERA, Siemens, Erlangen, Germany) twice in a 1-year period. Volumetric analysis was performed by a free, automated, online MRI brain volumetry software. The differences in volumetric values between the two MRI scans were calculated and correlated with the demographic and clinical parameters of the patients.

resultsThe number of attacks, disease duration, BDI, and FSS scores were higher in group 2; SDMT was higher in group 1. As expected, volumetric analyses have shown volume loss in total cerebral white matter in follow-up patients (

conclusionsApart from a visual demonstration of volume loss, cranial MRI with volumetric analysis has a great potential for revealing covert links between segmental volume changes and clinical parameters.

Indexed as

Multiple SclerosisMultiple Sclerosis, Relapsing-RemittingWhite MatterBrainChronic DiseaseHumansLongitudinal StudiesMagnetic Resonance Imaging

Identifiers

PMID36948201
PMCPMC10033199
OpenAlexW4353054356

What OpenQuestion holds

Textfull text, public
LicenceCC BY
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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.