Evidence map›Paper›PMID 30515631›Full record

ArticleJournal of neurology2019

Can we predict cognitive decline after initial diagnosis of multiple sclerosis? Results from the German National early MS cohort (KKNMS).

Andreas Johnen, Paul-Christian Bürkner, Nils C Landmeyer, Björn Ambrosius, Pasquale Calabrese, Jeremias Motte, Nicole Hessler, Gisela Antony, Inke R König, Luisa Klotz and 22 more

Abstract readMulticenter Study
In one paragraph

Article in Journal of neurology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 2 pooled it
–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

22 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Article
  5. Review
  6. Article
  7. Review
  8. Cognitive impairment in multiple sclerosis: from phenomenology to neurobiological mechanisms.Journal of neural transmission (Vienna, Austria : 1996) · 2024
    Review
  9. Article
  10. Article
  11. Article
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  13. Translational value of choroid plexus imaging for tracking neuroinflammation in mice and humans.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
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  17. Review
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  19. IsNeurology(R) neuroimmunology & neuroinflammation · 2020
    Observational
  20. 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

32 authors.

Andreas JohnenDepartment of Neurology, University Hospital Münster, Westfälische-Wilhelms-University Münster, Münster, Germany. a.johnen@uni-muenster.de.
Paul-Christian BürknerDepartment of Statistics, Faculty of Psychology, Westfälische-Wilhelms-University, Münster, Germany.
Nils C LandmeyerDepartment of Neurology, University Hospital Münster, Westfälische-Wilhelms-University Münster, Münster, Germany.
Björn AmbrosiusDepartment of Neurology, St. Josef-Hospital, Ruhr-University Bochum, Bochum, Germany.
Pasquale CalabreseDepartment of Neuropsychology and Behavioral Neurology, University of Basel, Basel, Switzerland.
Jeremias MotteDepartment of Neurology, St. Josef-Hospital, Ruhr-University Bochum, Bochum, Germany.
Nicole HesslerInstitute of Medical Biometry and Statistics, University of Lübeck, University Hospital Schleswig-Holstein, Campus Lübeck, Lübeck, Germany.
Gisela AntonyCentral Information Office (CIO), Philipps-University Marburg, Marburg, Germany.
Inke R KönigInstitute of Medical Biometry and Statistics, University of Lübeck, University Hospital Schleswig-Holstein, Campus Lübeck, Lübeck, Germany.
Luisa KlotzDepartment of Neurology, University Hospital Münster, Westfälische-Wilhelms-University Münster, Münster, Germany.
Muna-Miriam HoshiDepartment of Neurology, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany.
Lilian AlyDepartment of Neurology, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany.
Sergiu GroppaDepartment of Neurology and Focus Program Translational Neuroscience (FTN), Rhine Main Neuroscience Network (rmn2), University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany.
Felix LuessiDepartment of Neurology and Focus Program Translational Neuroscience (FTN), Rhine Main Neuroscience Network (rmn2), University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany.
Friedemann PaulNeuroCure Clinical Research Center and Experimental and Clinical Research Center, Charité, University Medicine Berlin and Max Delbrueck Center for Molecular Medicine, Berlin, Germany.
Björn TackenbergDepartment of Neurology, Philipps-University Marburg, Marburg, Germany.
Florian Then BerghDepartment of Neurology, University of Leipzig, Leipzig, Germany.
Tania KümpfelInstitute of Clinical Neuroimmunology, Ludwig Maximilian University of Munich, Munich, Germany.
Hayrettin TumaniDepartment of Neurology, University of Ulm, Ulm, Germany.
Martin StangelDepartment of Neurology, Hannover Medical School, Hannover, Germany.
Frank WeberNeurology, Max-Planck-Institute of Psychiatry, Munich, Germany.
Antonios BayasDepartment of Neurology, Klinikum Augsburg, Augsburg, Germany.
Brigitte WildemannDepartment of Neurology, University of Heidelberg, Heidelberg, Germany.
Christoph HeesenInstitut für Neuroimmunologie und Multiple Sklerose, Universitätsklinikum Hamburg-Eppendorf, Hamburg, Germany.
Uwe K ZettlDepartment of Neurology, Neuroimmunological Section, University of Rostock, Rostock, Germany.
Frauke ZippDepartment of Neurology and Focus Program Translational Neuroscience (FTN), Rhine Main Neuroscience Network (rmn2), University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany.
Bernhard HemmerDepartment of Neurology, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany.
Sven G MeuthDepartment of Neurology, University Hospital Münster, Westfälische-Wilhelms-University Münster, Münster, Germany.
Ralf GoldDepartment of Neurology, St. Josef-Hospital, Ruhr-University Bochum, Bochum, Germany.
Heinz WiendlDepartment of Neurology, University Hospital Münster, Westfälische-Wilhelms-University Münster, Münster, Germany.
Anke SalmenDepartment of Neurology, St. Josef-Hospital, Ruhr-University Bochum, Bochum, Germany.
German Competence Network Multiple Sclerosis (KKNMS)

Funding

Bundesministerium für Bildung und Forschung 01GI0916Bundesministerium für Bildung und Forschung 01GI1601GBundesministerium für Forschung und Technologie 01GI0914Bundesministerium für Forschung und Technologie 01GI1601B
6 · The paper itself

Abstract

backgroundCognitive impairment (CI) affects approximately one-third of the patients with early multiple sclerosis (MS) and clinically isolated syndrome (CIS). Little is known about factors predicting CI and progression after initial diagnosis.

methodsNeuropsychological screening data from baseline and 1-year follow-up of a prospective multicenter cohort study (NationMS) involving 1123 patients with newly diagnosed MS or CIS were analyzed. Employing linear multilevel models, we investigated whether demographic, clinical and conventional MRI markers at baseline were predictive for CI and longitudinal cognitive changes.

resultsAt baseline, 22% of patients had CI (impairment in ≥2 cognitive domains) with highest frequencies and severity in processing speed and executive functions. Demographics (fewer years of academic education, higher age, male sex), clinical (EDSS, depressive symptoms) but no conventional MRI characteristics were linked to baseline CI. At follow-up, only 14% of patients showed CI suggesting effects of retesting. Neither baseline characteristics nor initiation of treatment between baseline and follow-up was able to predict cognitive changes within the follow-up period of 1 year.

conclusionsIdentification of risk factors for short-term cognitive change in newly diagnosed MS or CIS is insufficient using only demographic, clinical and conventional MRI data. Change-sensitive, re-test reliable cognitive tests and more sophisticated predictors need to be employed in future clinical trials and cohort studies of early-stage MS to improve prediction.

Indexed as

Disease ProgressionAdultCognitive DysfunctionFemaleFollow-Up StudiesGermanyHumansMaleMiddle AgedMultiple SclerosisPrognosisRisk FactorsCognitionCohort studyLongitudinalMultiple sclerosisNeuropsychology

Identifiers

PMID30515631
PMCPMC6373354

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Registered trials

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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.