Evidence map›Paper›PMID 28932409›Full record

ArticleMultiple sclerosis journal - experimental, translational and clinical

Serum retinol levels are associated with brain volume loss in patients with multiple sclerosis.

H Yokote, T Kamata, S Toru, N Sanjo, T Yokota

Open access · goldAbstract read
In one paragraph

Article in Multiple sclerosis journal - experimental, translational and clinical. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.7field-weighted citation impact, top 28% 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

5 citing papers in PubMed, 9 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. MRI phenotypes in MS: Longitudinal changes and miRNA signatures.Neurology(R) neuroimmunology & neuroinflammation · 2019
    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

5 authors at 3 institutions in 1 country.

H YokoteDepartment of Neurology, Nitobe Memorial Nakano General Hospital, Japan.
T KamataDepartment of Neurology, Musashino Red Cross Hospital, Japan.
S ToruDepartment of Neurology, Nitobe Memorial Nakano General Hospital, Japan.
N SanjoDepartment of Neurology and Neurological Sciences, Tokyo Medical and Dental University, Japan.
T YokotaDepartment of Neurology and Neurological Sciences, Tokyo Medical and Dental University, Japan.
Nakano General Hospital · JPTokyo Medical and Dental University · JPMusashino Red Cross Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlthough predicting future brain volume loss (BVL) in patients with multiple sclerosis (MS) is important, studies have shown only a few biomarkers that can predict BVL.

objectivesThe aim of this study is to elucidate the association between longitudinal BVL and serum biomarker candidates.

methodsThis single-center, retrospective, observational study intended to cover MS patients during January 2008 to March 2016. Patients who underwent brain MRI two times at intervals of >24 months and had a blood test to measure biomarker candidates at the time or within three months of the MRI scan were included. Evaluation of brain volume was performed by using SIENAX and SIENA in the FMRIB software library.

resultsTwenty-three patients with MS were included in this study. We found that serum retinol binding protein (RBP) levels were significantly correlated with percentage brain volume change (PBVC) (

conclusionsOur study shows that lower serum retinol levels are associated with greater longitudinal BVL and that serum RBP and can be a predictor of BVL.

Indexed as

Atrophybeta-interferonbrain volumeMRImultiple sclerosisretinol

Identifiers

PMID28932409
PMCPMC5598802
OpenAlexW2754869105

What OpenQuestion holds

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LicenceCC BY-NC
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.