Evidence map›Paper›PMID 30214633›Full record

ArticleTheranostics2018

Integration of magnetic resonance imaging and protein and metabolite CSF measurements to enable early diagnosis of secondary progressive multiple sclerosis.

Stephanie Herman, Payam Emami Khoonsari, Andreas Tolf, Julia Steinmetz, Henrik Zetterberg, Torbjörn Åkerfeldt, Per-Johan Jakobsson, Anders Larsson, Ola Spjuth, Joachim Burman and 1 more

Open access · goldAbstract read
In one paragraph

Article in Theranostics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed, 1 pooled it
2.9field-weighted citation impact, top 9% 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

39 citing papers in PubMed, 1 synthesis or guideline pooled it, 66 citations in OpenAlex.

  1. Pooled it
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  7. Review
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  9. Article
  10. Phenomic Imaging.Phenomics (Cham, Switzerland) · 2023
    Review
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  12. Article
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  15. Article
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  18. Interleukin-31 and soluble CD40L: new candidate serum biomarkers that predict therapeutic response in multiple sclerosis.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2022
    Review
  19. Article
  20. 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

11 authors at 3 institutions in 2 countries.

Stephanie HermanDepartment of Medical Sciences, Clinical Chemistry, Uppsala University, Sweden.
Payam Emami KhoonsariDepartment of Medical Sciences, Clinical Chemistry, Uppsala University, Sweden.
Andreas TolfDepartment of Neuroscience, Uppsala University, Sweden.
Julia SteinmetzUnit of Rheumatology, Department of Medicine, Karolinska Institutet, Stockholm, Sweden.
Henrik ZetterbergDepartment of Psychiatry and Neurochemistry, the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden.
Torbjörn ÅkerfeldtDepartment of Medical Sciences, Clinical Chemistry, Uppsala University, Sweden.
Per-Johan JakobssonUnit of Rheumatology, Department of Medicine, Karolinska Institutet, Stockholm, Sweden.
Anders LarssonDepartment of Medical Sciences, Clinical Chemistry, Uppsala University, Sweden.
Ola SpjuthDepartment of Pharmaceutical Biosciences, Uppsala University, Sweden.
Joachim BurmanDepartment of Neuroscience, Uppsala University, Sweden.
Kim KultimaDepartment of Medical Sciences, Clinical Chemistry, Uppsala University, Sweden.
Uppsala University · SEKarolinska Institutet · SEUniversity College London · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Molecular networks in neurological diseases are complex. Despite this fact, contemporary biomarkers are in most cases interpreted in isolation, leading to a significant loss of information and power. We present an analytical approach to scrutinize and combine information from biomarkers originating from multiple sources with the aim of discovering a condensed set of biomarkers that in combination could distinguish the progressive degenerative phenotype of multiple sclerosis (SPMS) from the relapsing-remitting phenotype (RRMS).

Indexed as

AdultAgedBiological FactorsBiomarkersCerebrospinal FluidChromatography, LiquidEarly DiagnosisFemaleHumansImmunoassayMagnetic Resonance ImagingMaleMass SpectrometryMetabolomicsMiddle AgedMultiple Sclerosis, Chronic ProgressiveBiological FactorsBiomarkersProteinsbiomarkerdata integrationdisease progressionmetabolomicsmultiple sclerosis

Identifiers

PMID30214633
PMCPMC6134925
OpenAlexW2885528384

What OpenQuestion holds

Textmetadata
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.