Evidence map›Paper›PMID 35211070›Full record

ArticleFrontiers in neurology2021

Multimodal Evoked Potentials as Potential Biomarkers of Disease Activity in Patients With Clinically Isolated Syndrome.

Edyta Dziadkowiak, Małgorzata Wieczorek, Mieszko Zagrajek, Justyna Chojdak-Łukasiewicz, Ewa Gruszka, Sławomir Budrewicz, Anna Pokryszko-Dragan

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Article in Frontiers in neurology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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

7 authors.

Edyta DziadkowiakDepartment of Neurology, Wrocław Medical University, Wrocław, Poland.
Małgorzata WieczorekFaculty of Earth Sciences and Environmental Management, University of Wrocław, Wrocław, Poland.
Mieszko ZagrajekDepartment of Neurology, Wrocław Medical University, Wrocław, Poland.
Justyna Chojdak-ŁukasiewiczDepartment of Neurology, Wrocław Medical University, Wrocław, Poland.
Ewa GruszkaDepartment of Neurology, Wrocław Medical University, Wrocław, Poland.
Sławomir BudrewiczDepartment of Neurology, Wrocław Medical University, Wrocław, Poland.
Anna Pokryszko-DraganDepartment of Neurology, Wrocław Medical University, Wrocław, Poland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThere is an ongoing search for markers useful in monitoring and predicting disease activity at the early stage of multiple sclerosis (MS). The goals of this study were to prospectively evaluate the changes in parameters of multimodal evoked potentials (EP) and cognition within a 3-year follow-up period in patients with clinically isolated syndrome (CIS), and to assess the prognostic value of baseline findings with regard to the disease outcomes.

methodsIn 29 patients (20 women, nine men, mean age 31.1) multimodal (visual, brainstem auditory, somatosensory, event-related) EP and neuropsychological tests (NT) were performed at baseline (T0) and after 1 (T1) and 3 (T3) years. Their results were compared longitudinally between baseline, T1, and T3. Baseline results confirmed conversion of CIS into multiple sclerosis (MS) and disability level at T1 and T3 using multiple comparisons and a logistic regression model.

resultsApart from mean N13/P16 SEP (somatosensory evoked potentials) amplitude (lower at T1 and T3 than at baseline (T0 1.02 ± 0.37 μV, T1 0.90 ± 0.26 μV, T3 0.74 ± 0.32 μV, SIGNIFICANCE: Baseline ERP abnormalities were associated with their short-term conversion into MS. ERP are worth considering in multimodal EP evaluation at the early stage of MS.

Indexed as

clinically isolated syndromecognitive performanceevent-related potentialsmultimodal evoked potentialsmultiple sclerosis

Identifiers

PMID35211070
PMCPMC8860823

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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.